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  • Web Services Example - Part 2: Programmatic

    - by Denis T
    In this edition of the ADF Mobile blog we'll tackle part 2 of our Web Service examples.  In this posting we'll take a look at using a SOAP Web Service but calling it programmatically in code and parsing the return into a bean. Getting the sample code: Just click here to download a zip of the entire project.  You can unzip it and load it into JDeveloper and deploy it either to iOS or Android.  Please follow the previous blog posts if you need help getting JDeveloper or ADF Mobile installed.  Note: This is a different workspace than WS-Part1 Defining our Web Service: Just like our first installment, we are using the same public weather forecast web service provided free by CDYNE Corporation.  Sometimes this service goes down so please ensure you know it's up before reporting this example isn't working. We're going to concentrate on the same two web service methods, GetCityForecastByZIP and GetWeatherInformation. Defing the Application: The application setup is identical to the Weather1 version.  There are some improvements to the data that is displayed as part of this example though.  Now we are able to show the associated image along with each forecast line when using the Forecast By Zip feature.  We've also added the temperature Hi/Low values into the UI. Summary of Fundamental Changes In This Application The most fundamental change is that we're binding the UI to the Bean Data Controls instead of directly to the Web Service Data Controls.  This gives us much more flexibility to control the shape of the data and allows us to do caching of the data outside of the Web Service.  This way if your application is, say offline, your bean could still populate with data from a local cache and still show you some UI as opposed to completely failing because you don't have any connectivity. In general we promote this type of programming technique with ADF Mobile to insulate your application from any issues with network connectivity. What's different with this example? We have setup the Web Service DC the same way but now we have managed beans to process the data.  The following classes define the "Model" of our application:  CityInformation-CityForecast-Forecast, WeatherInformation-WeatherDescription.  We use WeatherBean for UI interaction to the model layer.  If you look through this example, we don't really do that much with the java code except use it to grab the image URL from the weather description.  In a more realistic example, you might be using some JDBC classes to persist the data to a local database. To have a good architecture it is always good to keep your model and UI layers separate.  This gets muddied if you start to use bindings on a page invoked from Java code and this java code starts to become your "model" layer.  Since bindings are page specific, your model layer starts to become entwined with your UI.  Not good!  To help with this, we've added some utility functions that let you invoke DC methods without having a binding and thus execute methods from your "model" layer without requiring a binding in your page definition.  We do this with the invokeDataControlMethod of the AdfmfJavaUtilities class.  An example of this method call is available in line 95 of WeatherInformation.java and line 93 of CityInformation.Java. What's a GenericType? Because Web Service Data Controls (and also URL Data Controls AKA REST) use generic name/value pairs to define their structure and don't have strongly typed objects, these are actually stored internally as GenericType objects.  The GenericType class is simply a property map of name/value pairs that can be hierarchical.  There are methods like getAttribute where you supply the index of the attribute or it's string property name.  Why is this important to know?  Because invokeDataControlMethod returns GenericType objects and developers either need to parse these GenericType objects themselves or use one of our helper functions. GenericTypeBeanSerializationHelper This class does exactly what it's name implies.  It's a helper class for developers to aid in serialization of GenericTypes to/from java objects.  This is extremely handy if you have a large GenericType object with many attributes (or you're just lazy like me!) and you just want to parse it out into a real java object you can use more easily.  Here you would use the fromGenericType method.  This method takes the class of the Java object you wish to return and the GenericType as parameters.  The method then parses through each attribute in the GenericType and uses reflection to set that same attribute in the Java class.  Then the method returns that new object of the class you specified.  This is obviously very handy to avoid a lot of shuffling code between GenericType and your own Java classes.  The reverse method, toGenericType is also available when you want to go the other way.  In this case you supply the string that represents the package location in the DataControl definition (Example: "MyDC.myParams.MyCollection") and then pass in the Java object you have that holds the data and a GenericType is returned to you.  Again, it will use reflection to calculate the attributes that match between the java class and the GenericType and call the getters/setters on those. Issues and Possible Improvements: In the next installment we'll show you how to make your web service calls asynchronously so your UI will fill dynamically when the service call returns but in the meantime you show the data you have locally in your bean fed from some local cache.  This gives your users instant delivery of some data while you fetch other data in the background.

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  • Performance triage

    - by Dave
    Folks often ask me how to approach a suspected performance issue. My personal strategy is informed by the fact that I work on concurrency issues. (When you have a hammer everything looks like a nail, but I'll try to keep this general). A good starting point is to ask yourself if the observed performance matches your expectations. Expectations might be derived from known system performance limits, prototypes, and other software or environments that are comparable to your particular system-under-test. Some simple comparisons and microbenchmarks can be useful at this stage. It's also useful to write some very simple programs to validate some of the reported or expected system limits. Can that disk controller really tolerate and sustain 500 reads per second? To reduce the number of confounding factors it's better to try to answer that question with a very simple targeted program. And finally, nothing beats having familiarity with the technologies that underlying your particular layer. On the topic of confounding factors, as our technology stacks become deeper and less transparent, we often find our own technology working against us in some unexpected way to choke performance rather than simply running into some fundamental system limit. A good example is the warm-up time needed by just-in-time compilers in Java Virtual Machines. I won't delve too far into that particular hole except to say that it's rare to find good benchmarks and methodology for java code. Another example is power management on x86. Power management is great, but it can take a while for the CPUs to throttle up from low(er) frequencies to full throttle. And while I love "turbo" mode, it makes benchmarking applications with multiple threads a chore as you have to remember to turn it off and then back on otherwise short single-threaded runs may look abnormally fast compared to runs with higher thread counts. In general for performance characterization I disable turbo mode and fix the power governor at "performance" state. Another source of complexity is the scheduler, which I've discussed in prior blog entries. Lets say I have a running application and I want to better understand its behavior and performance. We'll presume it's warmed up, is under load, and is an execution mode representative of what we think the norm would be. It should be in steady-state, if a steady-state mode even exists. On Solaris the very first thing I'll do is take a set of "pstack" samples. Pstack briefly stops the process and walks each of the stacks, reporting symbolic information (if available) for each frame. For Java, pstack has been augmented to understand java frames, and even report inlining. A few pstack samples can provide powerful insight into what's actually going on inside the program. You'll be able to see calling patterns, which threads are blocked on what system calls or synchronization constructs, memory allocation, etc. If your code is CPU-bound then you'll get a good sense where the cycles are being spent. (I should caution that normal C/C++ inlining can diffuse an otherwise "hot" method into other methods. This is a rare instance where pstack sampling might not immediately point to the key problem). At this point you'll need to reconcile what you're seeing with pstack and your mental model of what you think the program should be doing. They're often rather different. And generally if there's a key performance issue, you'll spot it with a moderate number of samples. I'll also use OS-level observability tools to lock for the existence of bottlenecks where threads contend for locks; other situations where threads are blocked; and the distribution of threads over the system. On Solaris some good tools are mpstat and too a lesser degree, vmstat. Try running "mpstat -a 5" in one window while the application program runs concurrently. One key measure is the voluntary context switch rate "vctx" or "csw" which reflects threads descheduling themselves. It's also good to look at the user; system; and idle CPU percentages. This can give a broad but useful understanding if your threads are mostly parked or mostly running. For instance if your program makes heavy use of malloc/free, then it might be the case you're contending on the central malloc lock in the default allocator. In that case you'd see malloc calling lock in the stack traces, observe a high csw/vctx rate as threads block for the malloc lock, and your "usr" time would be less than expected. Solaris dtrace is a wonderful and invaluable performance tool as well, but in a sense you have to frame and articulate a meaningful and specific question to get a useful answer, so I tend not to use it for first-order screening of problems. It's also most effective for OS and software-level performance issues as opposed to HW-level issues. For that reason I recommend mpstat & pstack as my the 1st step in performance triage. If some other OS-level issue is evident then it's good to switch to dtrace to drill more deeply into the problem. Only after I've ruled out OS-level issues do I switch to using hardware performance counters to look for architectural impediments.

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  • My rhythm game runs choppy even with high frame rate

    - by felipedrl
    I'm coding a rhythm game and the game runs smoothly with uncapped fps. But when I try to cap it around 60 the game updates in little chunks, like hiccups, as if it was skipping frames or at a very low frame rate. The reason I need to cap frame rate is because in some computers I tested, the fps varies a lot (from ~80 - ~250 fps) and those drops are noticeable and degrade response time. Since this is a rhythm game this is very important. This issue is driving me crazy. I've spent a few weeks already on it and still can't figure out the problem. I hope someone more experienced than me could shed some light on it. I'll try to put here all the hints I've tried along with two pseudo codes for game loops I tried, so I apologize if this post gets too lengthy. 1st GameLoop: const uint UPDATE_SKIP = 1000 / 60; uint nextGameTick = SDL_GetTicks(); while(isNotDone) { // only false when a QUIT event is generated! if (processEvents()) { if (SDL_GetTicks() > nextGameTick) { update(UPDATE_SKIP); render(); nextGameTick += UPDATE_SKIP; } } } 2nd Game Loop: const uint UPDATE_SKIP = 1000 / 60; while (isNotDone) { LARGE_INTEGER startTime; QueryPerformanceCounter(&startTime); // process events will return false in case of a QUIT event processed if (processEvents()) { update(frameTime); render(); } LARGE_INTEGER endTime; do { QueryPerformanceCounter(&endTime); frameTime = static_cast<uint>((endTime.QuadPart - startTime.QuadPart) * 1000.0 / frequency.QuadPart); } while (frameTime < UPDATE_SKIP); } [1] At first I thought it was a timer resolution problem. I was using SDL_GetTicks, but even when I switched to QueryPerformanceCounter, supposedly less granular, I saw no difference. [2] Then I thought it could be due to a rounding error in my position computation and since game updates are smaller in high FPS that would be less noticeable. Indeed there is an small error, but from my tests I realized that it is not enough to produce the position jumps I'm getting. Also, another intriguing factor is that if I enable vsync I'll get smooth updates @60fps regardless frame cap code. So why not rely on vsync? Because some computers can force a disable on gfx card config. [3] I started printing the maximum and minimum frame time measured in 1sec span, in the hope that every a few frames one would take a long time but still not enough to drop my fps computation. It turns out that, with frame cap code I always get frame times in the range of [16, 18]ms, and still, the game "does not moves like jagger". [4] My process' priority is set to HIGH (Windows doesn't allow me to set REALTIME for some reason). As far as I know there is only one thread running along with the game (a sound callback, which I really don't have access to it). I'm using AudiereLib. I then disabled Audiere by removing it from the project and still got the issue. Maybe there are some others threads running and one of them is taking too long to come back right in between when I measured frame times, I don't know. Is there a way to know which threads are attached to my process? [5] There are some dynamic data being created during game run. But It is a little bit hard to remove it to test. Maybe I'll have to try harder this one. Well, as I told you I really don't know what to try next. Anything, I mean, anything would be of great help. What bugs me more is why at 60fps & vsync enabled I get an smooth update and at 60fps & no vsync I don't. Is there a way to implement software vsync? I mean, query display sync info? Thanks in advance. I appreciate the ones that got this far and yet again I apologize for the long post. Best Regards from a fellow coder.

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  • Understanding the 'High Performance' meaning in Extreme Transaction Processing

    - by kyap
    Despite my previous blogs entries on SOA/BPM and Identity Management, the domain where I'm the most passionated is definitely the Extreme Transaction Processing, commonly called XTP.I came across XTP back to 2007 while I was still FMW Product Manager in EMEA. At that time Oracle acquired a company called Tangosol, which owned an unique product called Coherence that we renamed to Oracle Coherence. Beside this innovative renaming of the product, to be honest, I didn't know much about it, except being a "distributed in-memory cache for Extreme Transaction Processing"... not very helpful still.In general when people doesn't fully understand a technology or a concept, they tend to find some shortcuts, either correct or not, to justify their lack-of understanding... and of course I was part of this category of individuals. And the shortcut was "Oracle Coherence Cache helps to improve Performance". Excellent marketing slogan... but not very meaningful still. By chance I was able to get away quickly from that group in July 2007* at Thames Valley Park (UK), after I attended one of the most interesting workshops, in my 10 years career in Oracle, delivered by Brian Oliver. The biggest mistake I made was to assume that performance improvement with Coherence was related to the response time. Which can be considered as legitimus at that time, because after-all caches help to reduce latency on cached data access, hence reduce the response-time. But like all caches, you need to define caching and expiration policies, thinking about the cache-missed strategy, and most of the time you have to re-write partially your application in order to work with the cache. At a result, the expected benefit vanishes... so, not very useful then?The key mistake I made was my perception or obsession on how performance improvement should be driven, but I strongly believe this is still a common problem to most of the developers. In fact we all know the that the performance of a system is generally presented by the Capacity (or Throughput), with the 2 important dimensions Speed (response-time) and Volume (load) :Capacity (TPS) = Volume (T) / Speed (S)To increase the Capacity, we can either reduce the Speed(in terms of response-time), or to increase the Volume. However we tend to only focus on reducing the Speed dimension, perhaps it is more concrete and tangible to measure, and nicer to present to our management because there's a direct impact onto the end-users experience. On the other hand, we assume the Volume can be addressed by the underlying hardware or software stack, so if we need more capacity (scale out), we just add more hardware or software. Unfortunately, the reality proves that IT is never as ideal as we assume...The challenge with Speed improvement approach is that it is generally difficult and costly to make things already fast... faster. And by adding Coherence will not necessarily help either. Even though we manage to do so, the Capacity can not increase forever because... the Speed can be influenced by the Volume. For all system, we always have a performance illustration as follow: In all traditional system, the increase of Volume (Transaction) will also increase the Speed (Response-Time) as some point. The reason is simple: most of the time the Application logics were not designed to scale. As an example, if you have a while-loop in your application, it is natural to conceive that parsing 200 entries will require double execution-time compared to 100 entries. If you need to "Speed-up" the execution, you can only upgrade your hardware (scale-up) with faster CPU and/or network to reduce network latency. It is technically limited and economically inefficient. And this is exactly where XTP and Coherence kick in. The primary objective of XTP is about designing applications which can scale-out for increasing the Volume, by applying coding techniques to keep the execution-time as constant as possible, independently of the number of runtime data being manipulated. It is actually not just about having an application running as fast as possible, but about having a much more predictable system, with constant response-time and linearly scale, so we can easily increase throughput by adding more hardwares in parallel. It is in general combined with the Low Latency Programming model, where we tried to optimize the network usage as much as possible, either from the programmatic angle (less network-hoops to complete a task), and/or from a hardware angle (faster network equipments). In this picture, Oracle Coherence can be considered as software-level XTP enabler, via the Distributed-Cache because it can guarantee: - Constant Data Objects access time, independently from the number of Objects and the Coherence Cluster size - Data Objects Distribution by Affinity for in-memory data grouping - In-place Data Processing for parallel executionTo summarize, Oracle Coherence is indeed useful to improve your application performance, just not in the way we commonly think. It's not about the Speed itself, but about the overall Capacity with Extreme Load while keeping consistant Speed. In the future I will keep adding new blog entries around this topic, with some sample codes experiences sharing that I capture in the last few years. In the meanwhile if you want to know more how Oracle Coherence, I strongly suggest you to start with checking how our worldwide customers are using Oracle Coherence first, then you can start playing with the product through our tutorial.Have Fun !

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  • Identity Globe Trotters (Sep Edition): The Social Customer

    - by Tanu Sood
    Welcome to the inaugural edition of our monthly series - Identity Globe Trotters. Starting today, the last Friday of every month, we will explore regional commentary on Identity Management. We will invite guest contributors from around the world to share their opinions and experiences around Identity Management and highlight regional nuances, specific drivers, solutions and more. Today's feature is contributed by Michael Krebs, Head of Business Development at esentri consulting GmbH, a (SOA) specialized Oracle Gold Partner based in Ettlingen, Germany. In his current role, Krebs is dealing with the latest developments in Enterprise Social Networking and the Integration of Social Media within business processes.  By Michael Krebs The relevance of "easy sign-on" in the age of the "Social Customer" With the growth of Social Networks, the time people spend within those closed "eco-systems" is growing year by year. With social networks looking to integrate search engines, like Facebook announced some weeks ago, their relevance will continue to grow in contrast to the more conventional search engines. This is one of the reasons why social network accounts of the users are getting more and more like a virtual fingerprint. With the growing relevance of social networks the importance of a simple way for customers to get in touch with say, customer care or contract departments, will be crucial for sales processes in critical markets. Customers want to have one single point of contact and also an easy "login-method" with no dedicated usernames, passwords or proprietary accounts. The golden rule in the future social media driven markets will be: The lower the complexity of the initial contact, the better a company can profit from social networks. If you, for example, can generate a smart way of how an existing customer can use self-service portals, the cost in providing phone support can be lowered significantly. Recruiting and Hiring of "Digital Natives" Another particular example is "social" recruiting processes. The so called "digital natives" don´t want to type in their profile facts and CV´s in proprietary systems. Why not use the actual LinkedIn profile? In German speaking region, the market in the area of professional social networks is dominated by XING, the equivalent to LinkedIn. A few weeks back, this network also opened up their interfaces for integrating social sign-ons or the usage of profile data for recruiting-purposes. In the European (and especially the German) employment market, where the number of young candidates is shrinking because of the low birth rate in the region, it will become essential to use social-media supported hiring processes to find and on-board the rare talents. In fact, you will see traditional recruiting websites integrated with social hiring to attract the best talents in the market, where the pool of potential candidates has decreased dramatically over the years. Identity Management as a key factor in the Customer Experience process To create the biggest value for customers and also future employees, companies need to connect their HCM or CRM-systems with powerful Identity management solutions. With the highly efficient Oracle (social & mobile enabling) Identity Management solution, enterprises can combine easy sign on with secure connections to the backend infrastructure. This combination enables a "one-stop" service with personalized content for customers and talents. In addition, companies can collect valuable data for the enrichment of their CRM-data. The goal is to enrich the so called "Customer Experience" via all available customer channels and contact points. Those systems have already gained importance in the B2C-markets and will gradually spread out to B2B-channels in the near future. Conclusion: Central and "Social" Identity management is key to Customer Experience Management and Talent Management For a seamless delivery of "Customer Experience Management" and a modern way of recruiting the best talent, companies need to integrate Social Sign-on capabilities with modern CX - and Talent management infrastructure. This lowers the barrier for existing and future customers or employees to get in touch with sales, support or human resources. Identity management is the technology enabler and backbone for a modern Customer Experience Infrastructure. Oracle Identity management solutions provide the opportunity to secure Social Applications and connect them with modern CX-solutions. At the end, companies benefit from "best of breed" processes and solutions for enriching customer experience without compromising security. About esentri: esentri is a provider of enterprise social networking and brings the benefits of social network communication into business environments. As one key strength, esentri uses Oracle Identity Management solutions for delivering Social and Mobile access for Oracle’s CRM- and HCM-solutions. …..End Guest Post…. With new and enhanced features optimized to secure the new digital experience, the recently announced Oracle Identity Management 11g Release 2 enables organizations to securely embrace cloud, mobile and social infrastructures and reach new user communities to help further expand and develop their businesses. Additional Resources: Oracle Identity Management 11gR2 release Oracle Identity Management website Datasheet: Mobile and Social Access (pdf) IDM at OOW: Focus on Identity Management Facebook: OracleIDM Twitter: OracleIDM We look forward to your feedback on this post and welcome your suggestions for topics to cover in Identity Globe Trotters. Last Friday, every month!

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  • Reading the tea leaves from Windows Azure support

    - by jamiet
    A few idle thoughts… Three months ago I had an issue regarding Windows Azure where I was unable to login to the management portal. At the time I contacted Azure support, the issue was soon resolved and I thought no more about it. Until today that is when I received an email from Azure support providing a detailed analysis of the root cause, the fix and moreover precise details about when and where things occurred. The email itself is interesting and I have included the entirety of it below. A few things were interesting to me: The level of detail and the diligence in investigating and reporting the issue I found really rather impressive. They even outline the number of users that were affected (127 in case you can’t be bothered reading). Compare this to the quite pathetic support that another division within Microsoft, Skype, provided to Greg Low recently: Skype support and dead parrot sketches   This line: “Windows Azure performed a planned change from using the Microsoft account service (formerly Windows Live ID) to the Azure Active Directory (AAD) as its primary authentication mechanism on August 24th. This change was made to enable future innovation in the area of authentication – particularly for organizationally owned identities, identity federation, stronger authentication methods and compliance certification. ” I also found to be particularly interesting. I have long thought that one of the reasons Microsoft has proved to be such a money-making machine in the enterprise is because they provide the infrastructure and then upsell on top of that – and nothing is more infrastructural than Active Directory. It has struck me of late that they are trying to make the same play of late in the cloud by tying all their services into Azure Active Directory and here we see a clear indication of that by making AAD the authentication mechanism for anyone using Windows Azure. I get the feeling that we’re going to hear much much more about AAD in the future; isn’t it about time we could log on to SQL Azure Windows Azure SQL Database without resorting to SQL authentication, for example? And why do Microsoft have two identity providers – Microsoft Account (aka Windows Live ID) and AAD – isn’t it about time those things were combined? As I said, just some idle thoughts. Below is the transcript of the email if you are interested. @Jamiet  This is regarding the support request <redacted> where in you were not able to login into the windows azure management portal with live id. We are providing you with the summary, root cause analysis and information about permanent fix: Incident Title: You were unable to access Windows Azure Portal after Microsoft Account to Azure Active Directory account Migration. Service Impacted: Management Portal Incident Start Date and Time: 8/24/2012 4:30:00 PM Date and Time Service was Restored: 10/17/2012 12:00:00 AM Summary: Windows Azure performed a planned change from using the Microsoft account service (formerly Windows Live ID) to the Azure Active Directory (AAD) as its primary authentication mechanism on August 24th.   This change was made to enable future innovation in the area of authentication – particularly for organizationally owned identities, identity federation, stronger authentication methods and compliance certification.   While this migration was largely transparent to Windows Azure users, a small number of users whose sign-in names were part of a Windows Live Custom Domain were unable to login.   This incompatibility was not discovered during the Quality Assurance testing phase prior to the migration. Customer Impact: Customers whose sign-in names were part of a Windows Live Custom Domain were unable to sign-in the Management Portal after ~4:00 p.m. PST on August 24th, 2012.   We determined that the issue did impact at least 127 users in 98 of these Windows Live Custom Domains and had a maximum potential impact of 1,110 users in total. Root Cause: The root cause of the issue was an incompatibility in the AAD authentication service to handle logins from Microsoft accounts whose sign-in names were part of a Windows Live Custom Domains.  This issue was not discovered during the Quality Assurance testing phase prior to the migration from Microsoft Account (MSA) to AAD. Mitigations: The issue was mitigated for the majority of affected users by 8:20 a.m. PST on August 25th, 2012 by running some internal scripts to correct many known Windows Live Custom Domains.   The remaining affected domains fell into two categories: Windows Live Custom Domains that were not corrected by 8/25/2012. An additional 48 Windows Live Custom Domains were fixed in the weeks following the incident within 2 business days after the AAD team received an escalation from product support regarding those accounts. Windows Live Custom domains that were also provisioned in Office365. Some of the affected Windows Live Custom Domains had already been provisioned in AAD because their owners signed up for Office365 which is a service that also uses AAD.   In these cases the Azure customers had to work around the issue by renaming their Microsoft Account or using a different Microsoft Account to administer their Azure subscription. Permanent Fix: The Azure Active Directory team permanently fixed the issue for all customers on 10/17/2012 in an upgraded release of the AAD service.

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  • Why won't USB 3.0 external hard drive run at USB 3.0 speeds?

    - by jgottula
    I recently purchased a PCI Express x1 USB 3.0 controller card (containing the NEC USB 3.0 controller) with the intent of using a USB 3.0 external hard drive with my Linux box. I installed the card in an empty PCIe slot on my motherboard, connected the card to a power cable, strung a USB 3.0 cable between one of the new ports and my external HDD, and connected the HDD to a wall socket for power. Booting the system, the drive works 100% as intended, with the one exception of throughput: rather than using SuperSpeed 4.8 Gbps connectivity, it seems to be falling back to High Speed 480 Mbps USB 2.0-style throughput. Disk Utility shows it as a 480 Mbps device, and running a couple Disk Utility and dd benchmarks confirms that the drive fails to exceed ~40 MB/s (the approximate limit of USB 2.0), despite it being an SSD capable of far more than that. When I connect my USB 3.0 HDD, dmesg shows this: [ 3923.280018] usb 3-2: new high speed USB device using ehci_hcd and address 6 where I would expect to find this: [ 3923.280018] usb 3-2: new SuperSpeed USB device using xhci_hcd and address 6 My system was running on kernel 2.6.35-25-generic at the time. Then, I stumbled upon this forum thread by an individual who found that a bug, which was present in kernels prior to 2.6.37-rc5, could be the culprit for this type of problem. Consequently, I installed the 2.6.37-generic mainline Ubuntu kernel to determine if the problem would go away. It didn't, so I tried 2.6.38-rc3-generic, and even the 2.6.38 nightly from 2010.02.01, to no avail. In short, I'm trying to determine why, with USB 3.0 support in the kernel, my USB 3.0 drive fails to run at full SuperSpeed throughput. See the comments under this question for additional details. Output that might be relevant to the problem (when booting from 2.6.38-rc3): Relevant lines from dmesg: [ 19.589491] xhci_hcd 0000:03:00.0: PCI INT A -> GSI 17 (level, low) -> IRQ 17 [ 19.589512] xhci_hcd 0000:03:00.0: setting latency timer to 64 [ 19.589516] xhci_hcd 0000:03:00.0: xHCI Host Controller [ 19.589623] xhci_hcd 0000:03:00.0: new USB bus registered, assigned bus number 12 [ 19.650492] xhci_hcd 0000:03:00.0: irq 17, io mem 0xf8100000 [ 19.650556] xhci_hcd 0000:03:00.0: irq 47 for MSI/MSI-X [ 19.650560] xhci_hcd 0000:03:00.0: irq 48 for MSI/MSI-X [ 19.650563] xhci_hcd 0000:03:00.0: irq 49 for MSI/MSI-X [ 19.653946] xHCI xhci_add_endpoint called for root hub [ 19.653948] xHCI xhci_check_bandwidth called for root hub Relevant section of sudo lspci -v: 03:00.0 USB Controller: NEC Corporation uPD720200 USB 3.0 Host Controller (rev 03) (prog-if 30) Flags: bus master, fast devsel, latency 0, IRQ 17 Memory at f8100000 (64-bit, non-prefetchable) [size=8K] Capabilities: [50] Power Management version 3 Capabilities: [70] MSI: Enable- Count=1/8 Maskable- 64bit+ Capabilities: [90] MSI-X: Enable+ Count=8 Masked- Capabilities: [a0] Express Endpoint, MSI 00 Capabilities: [100] Advanced Error Reporting Capabilities: [140] Device Serial Number ff-ff-ff-ff-ff-ff-ff-ff Capabilities: [150] #18 Kernel driver in use: xhci_hcd Kernel modules: xhci-hcd Relevant section of sudo lsusb -v: Bus 012 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 3.00 bDeviceClass 9 Hub bDeviceSubClass 0 Unused bDeviceProtocol 3 bMaxPacketSize0 9 idVendor 0x1d6b Linux Foundation idProduct 0x0003 3.0 root hub bcdDevice 2.06 iManufacturer 3 Linux 2.6.38-020638rc3-generic xhci_hcd iProduct 2 xHCI Host Controller iSerial 1 0000:03:00.0 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 25 bNumInterfaces 1 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xe0 Self Powered Remote Wakeup MaxPower 0mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 1 bInterfaceClass 9 Hub bInterfaceSubClass 0 Unused bInterfaceProtocol 0 Full speed (or root) hub iInterface 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x81 EP 1 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0004 1x 4 bytes bInterval 12 Hub Descriptor: bLength 9 bDescriptorType 41 nNbrPorts 4 wHubCharacteristic 0x0009 Per-port power switching Per-port overcurrent protection TT think time 8 FS bits bPwrOn2PwrGood 10 * 2 milli seconds bHubContrCurrent 0 milli Ampere DeviceRemovable 0x00 PortPwrCtrlMask 0xff Hub Port Status: Port 1: 0000.0100 power Port 2: 0000.0100 power Port 3: 0000.0100 power Port 4: 0000.0100 power Device Status: 0x0003 Self Powered Remote Wakeup Enabled Full, non-verbose lsusb: Bus 012 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub Bus 011 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 010 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 009 Device 003: ID 04d9:0702 Holtek Semiconductor, Inc. Bus 009 Device 002: ID 046d:c068 Logitech, Inc. G500 Laser Mouse Bus 009 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 008 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 007 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 006 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 005 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 004 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 003 Device 006: ID 174c:5106 ASMedia Technology Inc. Bus 003 Device 004: ID 0bda:0151 Realtek Semiconductor Corp. Mass Storage Device (Multicard Reader) Bus 003 Device 002: ID 058f:6366 Alcor Micro Corp. Multi Flash Reader Bus 003 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 002 Device 006: ID 1687:0163 Kingmax Digital Inc. Bus 002 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 001 Device 002: ID 046d:081b Logitech, Inc. Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Full output: full dmesg full lspci full lsusb

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  • Battery life starts at 2:30 hrs (99%), but less than 1 minute later is only 1:30 hrs (99%)

    - by zondu
    After searching this and other forums, I haven't seen this same issue listed anywhere for Ubuntu 12. Prior to installing Ubuntu 12.10, my Netbook (Acer AspireOne D250, SATA HDD) was consistently getting 2:30-3 hrs battery life under Windows XP Home, SP3. However, immediately after installing Ubuntu 12.10, the battery life starts out at 2:30 hrs (99%), but less than 1 minute later suddenly drops to 1:30 hrs (99%), which seems very odd. It could be a complete coincidence that the battery is suddenly flaky at the exact same moment that Ubuntu 12.10 was installed, but that doesn't seem likely. I'm a newbie to Ubuntu, so I don't have much experience tweaking/trouble-shooting yet. Here's what I've tried so far: enabled laptop mode (sudo su, then echo 5 /proc/sys/vm/laptop_mode) and checked that it is running when the A/C adapter is unplugged, but it doesn't seem to have made any noticeable difference in battery life, installed Jupiter, but it didn't work and messed up the system, so I had to uninstall it, disabled bluetooth (wifi is still on b/c it is necessary), set the screen to lowest brightness, etc., run through at least 1 full power cycle (running until the netbook shut itself off due to critical battery) and have been using it normally (sometimes plugged in, often unplugged until the battery gets very low) for a week since installing Ubuntu 12.10. installed powertop, but have no idea how to interpret its results. Here are the results of acpi -b: w/ A/C adapter: Battery 0: Full, 100% immediately after unplugging: Battery 0: Discharging, 99%, 02:30:20 remaining 1 minute after unplugging: Battery 0: Discharging, 99%, 01:37:49 remaining 2-3 minutes after unplugging: Battery 0: Discharging, 95%, 01:33:01 remaining 10 minutes after unplugging: Battery 0: Discharging, 85%, 01:13:38 remaining Results of cat /sys/class/power_supply/BAT0/uevent: w/ A/C adapter: POWER_SUPPLY_NAME=BAT0 POWER_SUPPLY_STATUS=Full POWER_SUPPLY_PRESENT=1 POWER_SUPPLY_TECHNOLOGY=Li-ion POWER_SUPPLY_CYCLE_COUNT=0 POWER_SUPPLY_VOLTAGE_MIN_DESIGN=10800000 POWER_SUPPLY_VOLTAGE_NOW=12136000 POWER_SUPPLY_CURRENT_NOW=773000 POWER_SUPPLY_CHARGE_FULL_DESIGN=4500000 POWER_SUPPLY_CHARGE_FULL=1956000 POWER_SUPPLY_CHARGE_NOW=1956000 POWER_SUPPLY_MODEL_NAME=UM08B32 POWER_SUPPLY_MANUFACTURER=SANYO POWER_SUPPLY_SERIAL_NUMBER= immediately after unplugging: POWER_SUPPLY_NAME=BAT0 POWER_SUPPLY_STATUS=Discharging POWER_SUPPLY_PRESENT=1 POWER_SUPPLY_TECHNOLOGY=Li-ion POWER_SUPPLY_CYCLE_COUNT=0 POWER_SUPPLY_VOLTAGE_MIN_DESIGN=10800000 POWER_SUPPLY_VOLTAGE_NOW=11886000 POWER_SUPPLY_CURRENT_NOW=773000 POWER_SUPPLY_CHARGE_FULL_DESIGN=4500000 POWER_SUPPLY_CHARGE_FULL=1956000 POWER_SUPPLY_CHARGE_NOW=1937000 POWER_SUPPLY_MODEL_NAME=UM08B32 POWER_SUPPLY_MANUFACTURER=SANYO POWER_SUPPLY_SERIAL_NUMBER= 1 minute later: POWER_SUPPLY_NAME=BAT0 POWER_SUPPLY_STATUS=Discharging POWER_SUPPLY_PRESENT=1 POWER_SUPPLY_TECHNOLOGY=Li-ion POWER_SUPPLY_CYCLE_COUNT=0 POWER_SUPPLY_VOLTAGE_MIN_DESIGN=10800000 POWER_SUPPLY_VOLTAGE_NOW=11728000 POWER_SUPPLY_CURRENT_NOW=1174000 POWER_SUPPLY_CHARGE_FULL_DESIGN=4500000 POWER_SUPPLY_CHARGE_FULL=1956000 POWER_SUPPLY_CHARGE_NOW=1937000 POWER_SUPPLY_MODEL_NAME=UM08B32 POWER_SUPPLY_MANUFACTURER=SANYO POWER_SUPPLY_SERIAL_NUMBER= 2-3 minutes later: POWER_SUPPLY_NAME=BAT0 POWER_SUPPLY_STATUS=Discharging POWER_SUPPLY_PRESENT=1 POWER_SUPPLY_TECHNOLOGY=Li-ion POWER_SUPPLY_CYCLE_COUNT=0 POWER_SUPPLY_VOLTAGE_MIN_DESIGN=10800000 POWER_SUPPLY_VOLTAGE_NOW=11583000 POWER_SUPPLY_CURRENT_NOW=1209000 POWER_SUPPLY_CHARGE_FULL_DESIGN=4500000 POWER_SUPPLY_CHARGE_FULL=1956000 POWER_SUPPLY_CHARGE_NOW=1878000 POWER_SUPPLY_MODEL_NAME=UM08B32 POWER_SUPPLY_MANUFACTURER=SANYO POWER_SUPPLY_SERIAL_NUMBER= 10 minutes later: POWER_SUPPLY_NAME=BAT0 POWER_SUPPLY_STATUS=Discharging POWER_SUPPLY_PRESENT=1 POWER_SUPPLY_TECHNOLOGY=Li-ion POWER_SUPPLY_CYCLE_COUNT=0 POWER_SUPPLY_VOLTAGE_MIN_DESIGN=10800000 POWER_SUPPLY_VOLTAGE_NOW=11230000 POWER_SUPPLY_CURRENT_NOW=1239000 POWER_SUPPLY_CHARGE_FULL_DESIGN=4500000 POWER_SUPPLY_CHARGE_FULL=1956000 POWER_SUPPLY_CHARGE_NOW=1644000 POWER_SUPPLY_MODEL_NAME=UM08B32 POWER_SUPPLY_MANUFACTURER=SANYO POWER_SUPPLY_SERIAL_NUMBER= Results of upower -i /org/freedesktop/UPower/devices/battery_BAT0: w/ A/C adapter: native-path: /sys/devices/LNXSYSTM:00/device:00/PNP0A08:00/device:02/PNP0C0A:00/power_supply/BAT0 vendor: SANYO model: UM08B32 power supply: yes updated: Tue Nov 27 15:24:58 2012 (823 seconds ago) has history: yes has statistics: yes battery present: yes rechargeable: yes state: fully-charged energy: 21.1248 Wh energy-empty: 0 Wh energy-full: 21.1248 Wh energy-full-design: 48.6 Wh energy-rate: 8.3484 W voltage: 12.173 V percentage: 100% capacity: 43.4667% technology: lithium-ion immediately after unplugging: native-path: /sys/devices/LNXSYSTM:00/device:00/PNP0A08:00/device:02/PNP0C0A:00/power_supply/BAT0 vendor: SANYO model: UM08B32 power supply: yes updated: Tue Nov 27 15:41:25 2012 (1 seconds ago) has history: yes has statistics: yes battery present: yes rechargeable: yes state: discharging energy: 20.9196 Wh energy-empty: 0 Wh energy-full: 21.1248 Wh energy-full-design: 48.6 Wh energy-rate: 8.3484 W voltage: 11.86 V time to empty: 2.5 hours percentage: 99.0286% capacity: 43.4667% technology: lithium-ion History (charge): 1354023683 99.029 discharging 1 minute later: native-path: /sys/devices/LNXSYSTM:00/device:00/PNP0A08:00/device:02/PNP0C0A:00/power_supply/BAT0 vendor: SANYO model: UM08B32 power supply: yes updated: Tue Nov 27 15:42:31 2012 (17 seconds ago) has history: yes has statistics: yes battery present: yes rechargeable: yes state: discharging energy: 20.9196 Wh energy-empty: 0 Wh energy-full: 21.1248 Wh energy-full-design: 48.6 Wh energy-rate: 13.5432 W voltage: 11.753 V time to empty: 1.5 hours percentage: 99.0286% capacity: 43.4667% technology: lithium-ion History (charge): 1354023683 99.029 discharging History (rate): 1354023751 13.543 discharging 2-3 minutes later: native-path: /sys/devices/LNXSYSTM:00/device:00/PNP0A08:00/device:02/PNP0C0A:00/power_supply/BAT0 vendor: SANYO model: UM08B32 power supply: yes updated: Tue Nov 27 15:45:06 2012 (20 seconds ago) has history: yes has statistics: yes battery present: yes rechargeable: yes state: discharging energy: 20.2824 Wh energy-empty: 0 Wh energy-full: 21.1248 Wh energy-full-design: 48.6 Wh energy-rate: 13.7484 W voltage: 11.545 V time to empty: 1.5 hours percentage: 96.0123% capacity: 43.4667% technology: lithium-ion History (charge): 1354023906 96.012 discharging 1354023844 97.035 discharging History (rate): 1354023906 13.748 discharging 1354023875 12.992 discharging 1354023844 13.284 discharging 10 minutes later: native-path: /sys/devices/LNXSYSTM:00/device:00/PNP0A08:00/device:02/PNP0C0A:00/power_supply/BAT0 vendor: SANYO model: UM08B32 power supply: yes updated: Tue Nov 27 15:54:24 2012 (28 seconds ago) has history: yes has statistics: yes battery present: yes rechargeable: yes state: discharging energy: 18.1764 Wh energy-empty: 0 Wh energy-full: 21.1248 Wh energy-full-design: 48.6 Wh energy-rate: 13.2948 W voltage: 11.268 V time to empty: 1.4 hours percentage: 86.0429% capacity: 43.4667% technology: lithium-ion History (charge): 1354024433 86.043 discharging History (rate): 1354024464 13.295 discharging 1354024433 13.662 discharging 1354024402 13.781 discharging I noticed that between #2 and #3 (0 and 1 minutes after unplugging), while the battery still reports 99% charge and drops from 2:30 hr to 1:30 hr, the energy usage goes from 8.34 W to 13.54 W and the current_now increases, but shouldn't it be using less energy in battery mode since the screen is much dimmer and it's in power saving mode? (or is that normal behavior?) It also seems to drain more quickly than what it predicts, especially with the 1-1.25 hour drop in the first minute of being unplugged, which seems odd. What really concerns me is that Ubuntu 12.10 may not be properly managing the battery (with the sudden change in charge/life from 2:30 to 1:30 or 1:15 within a minute of unplugging), and that a new battery may quickly die under Ubuntu 12.10. I'd greatly appreciate any advice/suggestions on what to do, and especially whether there's a way to get back the 1-1.5 hrs of battery life that were suddenly lost when changing from WinXp to Ubuntu 12.10. Thanks :)

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  • Building Enterprise Smartphone App &ndash; Part 2: Platforms and Features

    - by Tim Murphy
    This is part 2 in a series of posts based on a talk I gave recently at the Chicago Information Technology Architects Group.  Feel free to leave feedback. In the previous post I discussed what reasons a company might have for creating a smartphone application.  In this installment I will cover some of history and state of the different platforms as well as features that can be leveraged for building enterprise smartphone applications. Platforms Before you start choosing a platform to develop your solutions on it is good to understand how we got here and what features you can leverage. History To my memory we owe all of this to a product called the Apple Newton that came out in 1987. It was the first PDA and back then I was much more of an Apple fan.  I was very impressed with this device even though it never really went anywhere.  The Palm Pilot by US Robotics was the next major advancement in PDA. It had a simple short hand window that allowed for quick stylus entry.. Later, Windows CE came out and started the broadening of the PDA market. After that it was the Palm and CE operating systems that started showing up on cell phones and for some time these were the two dominant operating systems that were distributed with devices from multiple hardware vendors. Current The iPhone was the first smartphone to take away the stylus and give us a multi-touch interface.  It was a revolution in usability and really changed the attractiveness of smartphones for the general public.  This brought us to the beginning of the current state of the market with the concept of an online store that makes it easy for customers to get new features and functionality on demand. With Android, Google made this more than a one horse race.  Not only did they come to compete, their low cost actually made them the leading OS.  Of course what made Android so attractive also is its major fault.  It is so open that it has been a target for malware which leaves consumers exposed.  Fortunately for Google though, most consumers aren’t aware of the threat that they are under. Although Microsoft had put out one of the first smart phone operating systems with CE it had to play catch up and finally came out with the Windows Phone.  They have gone for a market approach between those of iOS and Android.  They support multiple hardware vendors like Google, but they kept a certification process for applications that is similar to Apple.  They also created a user interface that was different enough to give it a clear separation from the other two platforms. The result of all this is hundreds of millions of smartphones being sold monthly across all three platforms giving us a wide range of choices and challenges when it comes to developing solutions. Features So what are the features that make these devices flexible enough be considered for use in the enterprise? The biggest advantage of today's devices is network connectivity.  The ability to access information from multiple sources at a moment’s notice is critical for businesses.  Add to that the ability to communicate over a variety of text, voice and video modes and we have a powerful starting point. Every smartphone has a cameras and they are not just useful for posting to Instagram. We are seeing more applications such as Bing vision that allow us to scan just about any printed code or text to find information.  These capabilities have been made available to developers in the form of standard libraries for reading barcodes of just about an flavor and optical character recognition (OCR) interpretation. Bluetooth give us the ability to communicate with multiple devices. Whether these are headsets, keyboard or printers the wireless communication capabilities are just starting to evolve.  The more these wireless communication protocols grow, the more opportunities we will see to transfer data between users and a variety of devices. Local storage of information that can be called up even when the device cannot reach the network is the other big capability.  This give users the ability to work offline as well and transmit information when connections are restored. These are the tools that we have to work with to build applications that can be leveraged to gain a competitive advantage for companies that implement them. Coming Up In the third installment I will cover key concerns that you face when building enterprise smartphone apps. del.icio.us Tags: smartphones,enterprise smartphone Apps,architecture,iOS,Android,Windows Phone

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  • How can I estimate the entropy of a password?

    - by Wug
    Having read various resources about password strength I'm trying to create an algorithm that will provide a rough estimation of how much entropy a password has. I'm trying to create an algorithm that's as comprehensive as possible. At this point I only have pseudocode, but the algorithm covers the following: password length repeated characters patterns (logical) different character spaces (LC, UC, Numeric, Special, Extended) dictionary attacks It does NOT cover the following, and SHOULD cover it WELL (though not perfectly): ordering (passwords can be strictly ordered by output of this algorithm) patterns (spatial) Can anyone provide some insight on what this algorithm might be weak to? Specifically, can anyone think of situations where feeding a password to the algorithm would OVERESTIMATE its strength? Underestimations are less of an issue. The algorithm: // the password to test password = ? length = length(password) // unique character counts from password (duplicates discarded) uqlca = number of unique lowercase alphabetic characters in password uquca = number of uppercase alphabetic characters uqd = number of unique digits uqsp = number of unique special characters (anything with a key on the keyboard) uqxc = number of unique special special characters (alt codes, extended-ascii stuff) // algorithm parameters, total sizes of alphabet spaces Nlca = total possible number of lowercase letters (26) Nuca = total uppercase letters (26) Nd = total digits (10) Nsp = total special characters (32 or something) Nxc = total extended ascii characters that dont fit into other categorys (idk, 50?) // algorithm parameters, pw strength growth rates as percentages (per character) flca = entropy growth factor for lowercase letters (.25 is probably a good value) fuca = EGF for uppercase letters (.4 is probably good) fd = EGF for digits (.4 is probably good) fsp = EGF for special chars (.5 is probably good) fxc = EGF for extended ascii chars (.75 is probably good) // repetition factors. few unique letters == low factor, many unique == high rflca = (1 - (1 - flca) ^ uqlca) rfuca = (1 - (1 - fuca) ^ uquca) rfd = (1 - (1 - fd ) ^ uqd ) rfsp = (1 - (1 - fsp ) ^ uqsp ) rfxc = (1 - (1 - fxc ) ^ uqxc ) // digit strengths strength = ( rflca * Nlca + rfuca * Nuca + rfd * Nd + rfsp * Nsp + rfxc * Nxc ) ^ length entropybits = log_base_2(strength) A few inputs and their desired and actual entropy_bits outputs: INPUT DESIRED ACTUAL aaa very pathetic 8.1 aaaaaaaaa pathetic 24.7 abcdefghi weak 31.2 H0ley$Mol3y_ strong 72.2 s^fU¬5ü;y34G< wtf 88.9 [a^36]* pathetic 97.2 [a^20]A[a^15]* strong 146.8 xkcd1** medium 79.3 xkcd2** wtf 160.5 * these 2 passwords use shortened notation, where [a^N] expands to N a's. ** xkcd1 = "Tr0ub4dor&3", xkcd2 = "correct horse battery staple" The algorithm does realize (correctly) that increasing the alphabet size (even by one digit) vastly strengthens long passwords, as shown by the difference in entropy_bits for the 6th and 7th passwords, which both consist of 36 a's, but the second's 21st a is capitalized. However, they do not account for the fact that having a password of 36 a's is not a good idea, it's easily broken with a weak password cracker (and anyone who watches you type it will see it) and the algorithm doesn't reflect that. It does, however, reflect the fact that xkcd1 is a weak password compared to xkcd2, despite having greater complexity density (is this even a thing?). How can I improve this algorithm? Addendum 1 Dictionary attacks and pattern based attacks seem to be the big thing, so I'll take a stab at addressing those. I could perform a comprehensive search through the password for words from a word list and replace words with tokens unique to the words they represent. Word-tokens would then be treated as characters and have their own weight system, and would add their own weights to the password. I'd need a few new algorithm parameters (I'll call them lw, Nw ~= 2^11, fw ~= .5, and rfw) and I'd factor the weight into the password as I would any of the other weights. This word search could be specially modified to match both lowercase and uppercase letters as well as common character substitutions, like that of E with 3. If I didn't add extra weight to such matched words, the algorithm would underestimate their strength by a bit or two per word, which is OK. Otherwise, a general rule would be, for each non-perfect character match, give the word a bonus bit. I could then perform simple pattern checks, such as searches for runs of repeated characters and derivative tests (take the difference between each character), which would identify patterns such as 'aaaaa' and '12345', and replace each detected pattern with a pattern token, unique to the pattern and length. The algorithmic parameters (specifically, entropy per pattern) could be generated on the fly based on the pattern. At this point, I'd take the length of the password. Each word token and pattern token would count as one character; each token would replace the characters they symbolically represented. I made up some sort of pattern notation, but it includes the pattern length l, the pattern order o, and the base element b. This information could be used to compute some arbitrary weight for each pattern. I'd do something better in actual code. Modified Example: Password: 1234kitty$$$$$herpderp Tokenized: 1 2 3 4 k i t t y $ $ $ $ $ h e r p d e r p Words Filtered: 1 2 3 4 @W5783 $ $ $ $ $ @W9001 @W9002 Patterns Filtered: @P[l=4,o=1,b='1'] @W5783 @P[l=5,o=0,b='$'] @W9001 @W9002 Breakdown: 3 small, unique words and 2 patterns Entropy: about 45 bits, as per modified algorithm Password: correcthorsebatterystaple Tokenized: c o r r e c t h o r s e b a t t e r y s t a p l e Words Filtered: @W6783 @W7923 @W1535 @W2285 Breakdown: 4 small, unique words and no patterns Entropy: 43 bits, as per modified algorithm The exact semantics of how entropy is calculated from patterns is up for discussion. I was thinking something like: entropy(b) * l * (o + 1) // o will be either zero or one The modified algorithm would find flaws with and reduce the strength of each password in the original table, with the exception of s^fU¬5ü;y34G<, which contains no words or patterns.

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  • R12.0 Cash Management Consolidated Patch Collection (CPC) And R12.1 Cash Management Recommended Patch Collection (RPC)

    - by user793553
    If you have Oracle E-Business Suite's Cash Management (CE) application installed, you'll want to be sure to install the latest CPC (Consolidated Patch Collection) if you are using a R12.0 version of the apps, or the latest RPC (Recommended Patch Collection) for the R12.1 version of the apps. These collections give you all the fixes currently available for known issues in the specified versions of the application, including all of the latest Root Cause Analysis Fixes (RCAs)! What is an "RPC" (for R12.1 users)? Since the release of 12.1, a number of recommended patches for Oracle Cash Management have been made available as standalone patches to help address important business process issues. Adoption of these patches was highly recommended at the time, but not always implemented, so to further facilitate adoption of these patches, Oracle consolidated them into product-specific Recommended Patch Collections (RPCs) - a collection of recommended patches. They were created by Oracle Development with the following goals in mind: Stability: To address data integrity issues that have been identified by Oracle Development and Oracle Software Support as having the potential to interfere with the normal completion of important business processes (such as, period close, etc.). Root Cause Fixes (RCAs): To make available root cause fixes for known data integrity issues. Compact: To keep the file footprint as small as possible to help facilitate the install process and minimize testing. Granular: To compile the collection of patches based on functional areas, allowing a customer to apply multiple RPCs at once, or in phases (based on individual needs and goals). Where to start ALL R12 Cash Management users (R12.0 and R12.1 users) should start with the following Note on My Oracle Support (MOS): Doc ID 1367845.1: R12: Cash Management Recommended Patch Collections It's a great place for important implementation information about both sets of critical patch collections! For R12.1x users R12.1 users should also take a look at the documents below for even more information about the RPC for the R12.1.x versions of the Cash Management application, and other related available RPCs: Note Number  Title                                                                                                      1489997.1 Master Troubleshooting Guide for CE: Reconciliation & Clearing [VIDEO] 954704.1 EBS: R12.1 Oracle Financials Recommended Patch Collections (RPCs) 1316506.1 R12: Oracle CE: Upgrading from R11i to R12.1: Latest Recommended Patches Patch Wizard Utility While a patch may contain several hundred files, the impact on your system may actually be minimal. Patches contain hard prerequisites that are intended to make a patch work on a very low code baseline. The Patch Wizard Utility will give you a detailed analysis of the patch’s impact on your instance BEFORE it’s applied, so you’ll know exactly what to expect from the application. Please refer to Doc ID 976188.1 for more information on this important utility

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  • Exploring TCP throughput with DTrace (2)

    - by user12820842
    Last time, I described how we can use the overlap in distributions of unacknowledged byte counts and send window to determine whether the peer's receive window may be too small, limiting throughput. Let's combine that comparison with a comparison of congestion window and slow start threshold, all on a per-port/per-client basis. This will help us Identify whether the congestion window or the receive window are limiting factors on throughput by comparing the distributions of congestion window and send window values to the distribution of outstanding (unacked) bytes. This will allow us to get a visual sense for how often we are thwarted in our attempts to fill the pipe due to congestion control versus the peer not being able to receive any more data. Identify whether slow start or congestion avoidance predominate by comparing the overlap in the congestion window and slow start distributions. If the slow start threshold distribution overlaps with the congestion window, we know that we have switched between slow start and congestion avoidance, possibly multiple times. Identify whether the peer's receive window is too small by comparing the distribution of outstanding unacked bytes with the send window distribution (i.e. the peer's receive window). I discussed this here. # dtrace -s tcp_window.d dtrace: script 'tcp_window.d' matched 10 probes ^C cwnd 80 10.175.96.92 value ------------- Distribution ------------- count 1024 | 0 2048 | 4 4096 | 6 8192 | 18 16384 | 36 32768 |@ 79 65536 |@ 155 131072 |@ 199 262144 |@@@ 400 524288 |@@@@@@ 798 1048576 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 3848 2097152 | 0 ssthresh 80 10.175.96.92 value ------------- Distribution ------------- count 268435456 | 0 536870912 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 5543 1073741824 | 0 unacked 80 10.175.96.92 value ------------- Distribution ------------- count -1 | 0 0 | 1 1 | 0 2 | 0 4 | 0 8 | 0 16 | 0 32 | 0 64 | 0 128 | 0 256 | 3 512 | 0 1024 | 0 2048 | 4 4096 | 9 8192 | 21 16384 | 36 32768 |@ 78 65536 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 5391 131072 | 0 swnd 80 10.175.96.92 value ------------- Distribution ------------- count 32768 | 0 65536 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 5543 131072 | 0 Here we are observing a large file transfer via http on the webserver. Comparing these distributions, we can observe: That slow start congestion control is in operation. The distribution of congestion window values lies below the range of slow start threshold values (which are in the 536870912+ range), so the connection is in slow start mode. Both the unacked byte count and the send window values peak in the 65536-131071 range, but the send window value distribution is narrower. This tells us that the peer TCP's receive window is not closing. The congestion window distribution peaks in the 1048576 - 2097152 range while the receive window distribution is confined to the 65536-131071 range. Since the cwnd distribution ranges as low as 2048-4095, we can see that for some of the time we have been observing the connection, congestion control has been a limiting factor on transfer, but for the majority of the time the receive window of the peer would more likely have been the limiting factor. However, we know the window has never closed as the distribution of swnd values stays within the 65536-131071 range. So all in all we have a connection that has been mildly constrained by congestion control, but for the bulk of the time we have been observing it neither congestion or peer receive window have limited throughput. Here's the script: #!/usr/sbin/dtrace -s tcp:::send / (args[4]-tcp_flags & (TH_SYN|TH_RST|TH_FIN)) == 0 / { @cwnd["cwnd", args[4]-tcp_sport, args[2]-ip_daddr] = quantize(args[3]-tcps_cwnd); @ssthresh["ssthresh", args[4]-tcp_sport, args[2]-ip_daddr] = quantize(args[3]-tcps_cwnd_ssthresh); @unacked["unacked", args[4]-tcp_sport, args[2]-ip_daddr] = quantize(args[3]-tcps_snxt - args[3]-tcps_suna); @swnd["swnd", args[4]-tcp_sport, args[2]-ip_daddr] = quantize((args[4]-tcp_window)*(1 tcps_snd_ws)); } One surprise here is that slow start is still in operation - one would assume that for a large file transfer, acknowledgements would push the congestion window up past the slow start threshold over time. The slow start threshold is in fact still close to it's initial (very high) value, so that would suggest we have not experienced any congestion (the slow start threshold is adjusted when congestion occurs). Also, the above measurements were taken early in the connection lifetime, so the congestion window did not get a changes to get bumped up to the level of the slow start threshold. A good strategy when examining these sorts of measurements for a given service (such as a webserver) would be start by examining the distributions above aggregated by port number only to get an overall feel for service performance, i.e. is congestion control or peer receive window size an issue, or are we unconstrained to fill the pipe? From there, the overlap of distributions will tell us whether to drill down into specific clients. For example if the send window distribution has multiple peaks, we may want to examine if particular clients show issues with their receive window.

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  • Different fan behaviour in my laptop after upgrade, what to do now?

    - by student
    After upgrading from lubuntu 13.10 to 14.04 the fan of my laptop seems to run much more often than in 13.10. When it runs, it doesn't run continously but starts and stops every second. fwts fan results in Results generated by fwts: Version V14.03.01 (2014-03-27 02:14:17). Some of this work - Copyright (c) 1999 - 2014, Intel Corp. All rights reserved. Some of this work - Copyright (c) 2010 - 2014, Canonical. This test run on 12/05/14 at 21:40:13 on host Linux einstein 3.13.0-24-generic #47-Ubuntu SMP Fri May 2 23:30:00 UTC 2014 x86_64. Command: "fwts fan". Running tests: fan. fan: Simple fan tests. -------------------------------------------------------------------------------- Test 1 of 2: Test fan status. Test how many fans there are in the system. Check for the current status of the fan(s). PASSED: Test 1, Fan cooling_device0 of type Processor has max cooling state 10 and current cooling state 0. PASSED: Test 1, Fan cooling_device1 of type Processor has max cooling state 10 and current cooling state 0. PASSED: Test 1, Fan cooling_device2 of type LCD has max cooling state 15 and current cooling state 10. Test 2 of 2: Load system, check CPU fan status. Test how many fans there are in the system. Check for the current status of the fan(s). Loading CPUs for 20 seconds to try and get fan speeds to change. Fan cooling_device0 current state did not change from value 0 while CPUs were busy. Fan cooling_device1 current state did not change from value 0 while CPUs were busy. ADVICE: Did not detect any change in the CPU related thermal cooling device states. It could be that the devices are returning static information back to the driver and/or the fan speed is automatically being controlled by firmware using System Management Mode in which case the kernel interfaces being examined may not work anyway. ================================================================================ 3 passed, 0 failed, 0 warning, 0 aborted, 0 skipped, 0 info only. ================================================================================ 3 passed, 0 failed, 0 warning, 0 aborted, 0 skipped, 0 info only. Test Failure Summary ================================================================================ Critical failures: NONE High failures: NONE Medium failures: NONE Low failures: NONE Other failures: NONE Test |Pass |Fail |Abort|Warn |Skip |Info | ---------------+-----+-----+-----+-----+-----+-----+ fan | 3| | | | | | ---------------+-----+-----+-----+-----+-----+-----+ Total: | 3| 0| 0| 0| 0| 0| ---------------+-----+-----+-----+-----+-----+-----+ Here is the output of lsmod lsmod Module Size Used by i8k 14421 0 zram 18478 2 dm_crypt 23177 0 gpio_ich 13476 0 dell_wmi 12761 0 sparse_keymap 13948 1 dell_wmi snd_hda_codec_hdmi 46207 1 snd_hda_codec_idt 54645 1 rfcomm 69160 0 arc4 12608 2 dell_laptop 18168 0 bnep 19624 2 dcdbas 14928 1 dell_laptop bluetooth 395423 10 bnep,rfcomm iwldvm 232285 0 mac80211 626511 1 iwldvm snd_hda_intel 52355 3 snd_hda_codec 192906 3 snd_hda_codec_hdmi,snd_hda_codec_idt,snd_hda_intel snd_hwdep 13602 1 snd_hda_codec snd_pcm 102099 3 snd_hda_codec_hdmi,snd_hda_codec,snd_hda_intel snd_page_alloc 18710 2 snd_pcm,snd_hda_intel snd_seq_midi 13324 0 snd_seq_midi_event 14899 1 snd_seq_midi snd_rawmidi 30144 1 snd_seq_midi coretemp 13435 0 kvm_intel 143060 0 kvm 451511 1 kvm_intel snd_seq 61560 2 snd_seq_midi_event,snd_seq_midi joydev 17381 0 serio_raw 13462 0 iwlwifi 169932 1 iwldvm pcmcia 62299 0 snd_seq_device 14497 3 snd_seq,snd_rawmidi,snd_seq_midi snd_timer 29482 2 snd_pcm,snd_seq lpc_ich 21080 0 cfg80211 484040 3 iwlwifi,mac80211,iwldvm yenta_socket 41027 0 pcmcia_rsrc 18407 1 yenta_socket pcmcia_core 23592 3 pcmcia,pcmcia_rsrc,yenta_socket binfmt_misc 17468 1 snd 69238 17 snd_hwdep,snd_timer,snd_hda_codec_hdmi,snd_hda_codec_idt,snd_pcm,snd_seq,snd_rawmidi,snd_hda_codec,snd_hda_intel,snd_seq_device,snd_seq_midi soundcore 12680 1 snd parport_pc 32701 0 mac_hid 13205 0 ppdev 17671 0 lp 17759 0 parport 42348 3 lp,ppdev,parport_pc firewire_ohci 40409 0 psmouse 102222 0 sdhci_pci 23172 0 sdhci 43015 1 sdhci_pci firewire_core 68769 1 firewire_ohci crc_itu_t 12707 1 firewire_core ahci 25819 2 libahci 32168 1 ahci i915 783485 2 wmi 19177 1 dell_wmi i2c_algo_bit 13413 1 i915 drm_kms_helper 52758 1 i915 e1000e 254433 0 drm 302817 3 i915,drm_kms_helper ptp 18933 1 e1000e pps_core 19382 1 ptp video 19476 1 i915 I tried one answer to the similar question: loud fan on Ubuntu 14.04 and created a /etc/i8kmon.conf like the following: # Run as daemon, override with --daemon option set config(daemon) 1 # Automatic fan control, override with --auto option set config(auto) 1 # Status check timeout (seconds), override with --timeout option set config(timeout) 2 # Report status on stdout, override with --verbose option set config(verbose) 1 # Temperature thresholds: {fan_speeds low_ac high_ac low_batt high_batt} set config(0) {{0 0} -1 55 -1 55} set config(1) {{0 1} 50 60 55 65} set config(2) {{1 1} 55 80 60 85} set config(3) {{2 2} 70 128 75 128} With this setup the fan goes on even if the temperature is below 50 degree celsius (I don't see a pattern). However I get the impression that the CPU got's hotter in average than without this file. What changes from 13.10 to 14.04 may be responsible for this? If this is a bug, for which package I should report the bug?

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  • IIS7 web farm - local or shared content?

    - by rbeier
    We're setting up an IIS7 web farm with two servers. Should each server have its own local copy of the content, or should they pull content directly from a UNC share? What are the pros and cons of each approach? We currently have a single live server WEB1, with content stored locally on a separate partition. A job periodically syncs WEB1 to a standby server WEB2, using robocopy for content and msdeploy for config. If WEB1 goes down, Nagios notifies us, and we manually run a script to move the IP addresses to WEB2's network interface. Both servers are actually VMs running on separate VMWare ESX 4 hosts. The servers are domain-joined. We have around 50-60 live sites on WEB1 - mostly ASP.NET, with a few that are just static HTML. Most are low-traffic "microsites". A few have moderate traffic, but none are massive. We'd like to change this so both WEB1 and WEB2 are actively serving content. This is mainly for reliability - if WEB1 goes down, we don't want to have to manually intervene to fail things over. Spreading the load is also nice, but the load is not high enough right now for us to need this. We're planning to configure our firewall to balance traffic across the two servers. It will detect when a server goes down and will send all the traffic to the remaining live server. We're planning to use sticky sessions for now... eventually we may move to SQL Server session state and stateless load balancing. But we need a way for the servers to share content. We were originally planning to move all the content to a UNC share. Our storage provider says they can set up a highly available SMB share for us. So if we go the UNC route, the storage shouldn't be a single point of failure. But we're wondering about the downsides to this approach: We'll need to change the physical paths for each site and virtual directory. There are also some projects that have absolute paths in their web.config files - we'll have to update those as well. We'll need to create a domain user for the web servers to access the share, and grant that user appropriate permissions. I haven't looked into this yet - I'm not sure if the application pool identity needs to be changed to this user, or if there's another way to tell IIS to use this account when connecting to the share. Sites will no longer be able to access their content if there's ever an Active Directory problem. In general, it just seems a lot more complicated, with more moving parts that could break. Our storage provider would create a volume for us on their redundant SAN. If I understand correctly, this SAN volume would be mounted on a VM running in their redundant VMWare environment; this VM would then expose the SMB share to our web servers. On the other hand, a benefit of the shared content approach is that we'd only need to deploy code to one place, and there would never be a temporary inconsistency between multiple copies of the content. This thread is pretty interesting, though some of these people are working at a much larger scale. I've just been discussing content so far, but we also need to think about configuration. I don't know if we can just use DFS replication for the applicationHost.config and other files, or if it's best to use the shared configuration feature with the config on a UNC share. What do you think? Thanks for your help, Richard

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  • multiple puppet masters

    - by Oli
    I would like to set up an additional puppet master but have the CA server handled by only 1 puppet master. I have set this up as per the documentation here: http://docs.puppetlabs.com/guides/scaling_multiple_masters.html I have configured my second puppet master as follows: [main] ... ca = false ca_server = puppet-master1.test.net I am using passenger so I am a bit confused how the virtual-host.conf file should look for my second puppet-master2.test.net. Here is mine (updated as per Shane Maddens answer): LoadModule passenger_module /usr/lib/ruby/gems/1.8/gems/passenger-3.0.18/ext/apache2/mod_passenger.so PassengerRoot /usr/lib/ruby/gems/1.8/gems/passenger-3.0.18 PassengerRuby /usr/bin/ruby Listen 8140 <VirtualHost *:8140> ProxyPassMatch ^/([^/]+/certificate.*)$ https://puppet-master1.test.net:8140/$1 SSLEngine on SSLProtocol -ALL +SSLv3 +TLSv1 SSLCipherSuite ALL:!ADH:RC4+RSA:+HIGH:+MEDIUM:-LOW:-SSLv2:-EXP SSLCertificateFile /var/lib/puppet/ssl/certs/puppet-master2.test.net.pem SSLCertificateKeyFile /var/lib/puppet/ssl/private_keys/puppet-master2.test.net.pem #SSLCertificateChainFile /var/lib/puppet/ssl/ca/ca_crt.pem #SSLCACertificateFile /var/lib/puppet/ssl/ca/ca_crt.pem # If Apache complains about invalid signatures on the CRL, you can try disabling # CRL checking by commenting the next line, but this is not recommended. #SSLCARevocationFile /var/lib/puppet/ssl/ca/ca_crl.pem SSLVerifyClient optional SSLVerifyDepth 1 # The `ExportCertData` option is needed for agent certificate expiration warnings SSLOptions +StdEnvVars +ExportCertData # This header needs to be set if using a loadbalancer or proxy RequestHeader unset X-Forwarded-For RequestHeader set X-SSL-Subject %{SSL_CLIENT_S_DN}e RequestHeader set X-Client-DN %{SSL_CLIENT_S_DN}e RequestHeader set X-Client-Verify %{SSL_CLIENT_VERIFY}e DocumentRoot /etc/puppet/rack/public/ RackBaseURI / <Directory /etc/puppet/rack/> Options None AllowOverride None Order allow,deny allow from all </Directory> </VirtualHost> I have commented out the #SSLCertificateChainFile, #SSLCACertificateFile & #SSLCARevocationFile - this is not a CA server so not sure I need this. How would I get passenger to work with these? I would like to use ProxyPassMatch which I have configured as per the documentation. I don't want to specify a ca server in every puppet.conf file. I am getting this error when trying to get create a cert from a puppet client pointing to the second puppet master server (puppet-master2.test.net): [root@puppet-client2 ~]# puppet agent --test Error: Could not request certificate: Could not intern from s: nested asn1 error Exiting; failed to retrieve certificate and waitforcert is disabled On the puppet client I have this [main] server = puppet-master2.test.net What have I missed? -- update Here is a new virtual host file on my secondary puppet master. Is this correct? I have SSL turned off? LoadModule passenger_module /usr/lib/ruby/gems/1.8/gems/passenger-3.0.18/ext/apache2/mod_passenger.so PassengerRoot /usr/lib/ruby/gems/1.8/gems/passenger-3.0.18 PassengerRuby /usr/bin/ruby # you probably want to tune these settings PassengerHighPerformance on PassengerMaxPoolSize 12 PassengerPoolIdleTime 1500 # PassengerMaxRequests 1000 PassengerStatThrottleRate 120 RackAutoDetect Off RailsAutoDetect Off Listen 8140 <VirtualHost *:8140> SSLEngine off ProxyPassMatch ^/([^/]+/certificate.*)$ https://puppet-master1.test.net:8140/$1 # Obtain Authentication Information from Client Request Headers SetEnvIf X-Client-Verify "(.*)" SSL_CLIENT_VERIFY=$1 SetEnvIf X-SSL-Client-DN "(.*)" SSL_CLIENT_S_DN=$1 DocumentRoot /etc/puppet/rack/public/ RackBaseURI / <Directory /etc/puppet/rack/> Options None AllowOverride None Order allow,deny allow from all </Directory> </VirtualHost> Cheers, Oli

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  • Magento installation problem on Nginx in Windows

    - by Nithin
    I am trying to install magento locally using nginx as the web server instead of Apache. I copied the magento folder to the html directory. When i try to call the magento folder, I get the 404 not found error. I am able to access other php files setup in the html folder and have PHP installed. Here is my config file: #user nobody; worker_processes 1; #error_log logs/error.log; #error_log logs/error.log notice; #error_log logs/error.log info; #pid logs/nginx.pid; events { worker_connections 1024; } http { include mime.types; default_type application/octet-stream; #log_format main '$remote_addr - $remote_user [$time_local] "$request" ' # '$status $body_bytes_sent "$http_referer" ' # '"$http_user_agent" "$http_x_forwarded_for"'; #access_log logs/access.log main; sendfile on; #tcp_nopush on; #keepalive_timeout 0; keepalive_timeout 65; #gzip on; server { listen 8080; server_name localhost; #charset koi8-r; #access_log logs/host.access.log main; location / { root html; index index.html index.htm index.php; } #error_page 404 /404.html; # redirect server error pages to the static page /50x.html # error_page 500 502 503 504 /50x.html; location = /50x.html { root html; allow all; } # proxy the PHP scripts to Apache listening on 127.0.0.1:80 # #location ~ \.php$ { # proxy_pass http://127.0.0.1; #} # pass the PHP scripts to FastCGI server listening on 127.0.0.1:9000 # location ~ \.php$ { root html; fastcgi_pass 127.0.0.1:9000; fastcgi_index index.php; fastcgi_param SCRIPT_FILENAME c:/nginx/html/$fastcgi_script_name; include fastcgi_params; } # deny access to .htaccess files, if Apache's document root # concurs with nginx's one # #location ~ /\.ht { # deny all; #} } # another virtual host using mix of IP-, name-, and port-based configuration # #server { # listen 8000; # listen somename:8080; # server_name somename alias another.alias; # location / { # root html; # index index.html index.htm; # } #} # HTTPS server # #server { # listen 443; # server_name localhost; # ssl on; # ssl_certificate cert.pem; # ssl_certificate_key cert.key; # ssl_session_timeout 5m; # ssl_protocols SSLv2 SSLv3 TLSv1; # ssl_ciphers ALL:!ADH:!EXPORT56:RC4+RSA:+HIGH:+MEDIUM:+LOW:+SSLv2:+EXP; # ssl_prefer_server_ciphers on; # location / { # root html; # index index.html index.htm; # } #} } How do I fix this? This is what I found in the error.log file : 2011/09/06 12:22:35 [error] 5632#0: *1 "/cygdrive/c/nginx/html/magento/index.php/install/index.html" is not found (20: Not a directory), client: 127.0.0.1, server: localhost, request: "GET /magento/index.php/install/ HTTP/1.1", host: "localhost:8080"

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  • Wireless AAA for a small, bandwidth-limited hotel.

    - by Anthony Hiscox
    We (the tech I work with and myself) live in a remote northern town where Internet access is somewhat of a luxury, and bandwidth is quite limited. Here, overage charges ranging from few hundreds, to few thousands of dollars a month, is not uncommon. I myself incur regular monthly charges just through my regular Internet usage at home (I am allowed 10G for $60CAD!) As part of my work, I have found myself involved with several hotels that are feeling this. I know that I can come up with something to solve this problem, but I am relatively new to system administration and I don't want my dreams to overcome reality. So, I pass these ideas on to you, those with much more experience than I, in hopes you will share some of your thoughts and concerns. This system must be cost effective, yes the charges are high here, but the trust in technology is the lowest I've ever seen. Must be capable of helping client reduce their usage (squid) Allow a limited (throughput and total usage) amount of free Internet, as this is often franchise policy. Allow a user to track their bandwidth usage Allow (optional) higher speed and/or usage for an additional charge. This fee can be obtained at the front desk on checkout and should not require the use of PayPal or Credit Card. Unfortunately some franchises have ridiculous policies that require the use of a third party remote service to authenticate guests to your network. This means WPA is out, and it also means that I do not auth before Internet usage, that will be their job. However, I do require the ABILITY to perform authentication for Internet access if a hotel does not have this policy. I will still have to track bandwidth (under a guest account by default) and provide the same limiting, however the guest often will require a complete 'unlimited' access, in terms of existence, not throughput. Provide firewalling capabilities for hotels that have nothing, Office, and Guest network segregation (some of these guys are running their office on the guest network, with no encryption, and a simple TOS to get on!) Prevent guests from connecting to other guests, however provide a means to allow this to happen. IE. Each guest connects to a page and allows the other guest, this writes a iptables rule (with python-netfilter) and allows two rooms to play a game, for instance. My thoughts on how to implement this. One decent box (we'll call it a router now) with a lot of ram, and 3 NIC's: Internet Office Guests (AP's + In Room Ethernet) Router Firewall Rules Guest can talk to router only, through which they are routed to where they need to go, including Internet services. Office can be used to bridge Office to Internet if an existing solution is not in place, otherwise, it simply works for a network accessible web (webmin+python-webmin?) interface. Router Software: OpenVZ provides virtualization for a few services I don't really trust. Squid, FreeRADIUS and Apache. The only service directly accessible to guests is Apache. Apache has mod_wsgi and django, because I can write quickly using django and my needs are low. It also potentially has the FreeRADIUS mod, but there seems to be some caveats with this. Firewall rules are handled on the router with iptables. Webmin (or a custom django app maybe) provides abstracted control over any features that the staff may need to access. Python, if you haven't guessed it's the language I feel most comfortable in, and I use it for almost everything. And finally, has this been done, is it a overly massive project not worth taking on for one guy, and/or is there some tools I'm missing that could be making my life easier? For the record, I am fairly good with Python, but not very familiar with many other languages (I can struggle through PHP, it's a cosmetic issue there). I am also an avid linux user, and comfortable with config files and command line. Thank you for your time, I look forward to reading your responses. Edit: My apologies if this is not a Q&A in the sense that some were expecting, I'm just looking for ideas and to make sure I'm not trying to do something that's been done. I'm looking at pfSense now as a possible start for what I need.

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  • Why do we get a sudden spike in response times?

    - by Christian Hagelid
    We have an API that is implemented using ServiceStack which is hosted in IIS. While performing load testing of the API we discovered that the response times are good but that they deteriorate rapidly as soon as we hit about 3,500 concurrent users per server. We have two servers and when hitting them with 7,000 users the average response times sit below 500ms for all endpoints. The boxes are behind a load balancer so we get 3,500 concurrents per server. However as soon as we increase the number of total concurrent users we see a significant increase in response times. Increasing the concurrent users to 5,000 per server gives us an average response time per endpoint of around 7 seconds. The memory and CPU on the servers are quite low, both while the response times are good and when after they deteriorate. At peak with 10,000 concurrent users the CPU averages just below 50% and the RAM sits around 3-4 GB out of 16. This leaves us thinking that we are hitting some kind of limit somewhere. The below screenshot shows some key counters in perfmon during a load test with a total of 10,000 concurrent users. The highlighted counter is requests/second. To the right of the screenshot you can see the requests per second graph becoming really erratic. This is the main indicator for slow response times. As soon as we see this pattern we notice slow response times in the load test. How do we go about troubleshooting this performance issue? We are trying to identify if this is a coding issue or a configuration issue. Are there any settings in web.config or IIS that could explain this behaviour? The application pool is running .NET v4.0 and the IIS version is 7.5. The only change we have made from the default settings is to update the application pool Queue Length value from 1,000 to 5,000. We have also added the following config settings to the Aspnet.config file: <system.web> <applicationPool maxConcurrentRequestsPerCPU="5000" maxConcurrentThreadsPerCPU="0" requestQueueLimit="5000" /> </system.web> More details: The purpose of the API is to combine data from various external sources and return as JSON. It is currently using an InMemory cache implementation to cache individual external calls at the data layer. The first request to a resource will fetch all data required and any subsequent requests for the same resource will get results from the cache. We have a 'cache runner' that is implemented as a background process that updates the information in the cache at certain set intervals. We have added locking around the code that fetches data from the external resources. We have also implemented the services to fetch the data from the external sources in an asynchronous fashion so that the endpoint should only be as slow as the slowest external call (unless we have data in the cache of course). This is done using the System.Threading.Tasks.Task class. Could we be hitting a limitation in terms of number of threads available to the process?

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  • Setting up RADIUS + LDAP for WPA2 on Ubuntu

    - by Morten Siebuhr
    I'm setting up a wireless network for ~150 users. In short, I'm looking for a guide to set RADIUS server to authenticate WPA2 against a LDAP. On Ubuntu. I got a working LDAP, but as it is not in production use, it can very easily be adapted to whatever changes this project may require. I've been looking at FreeRADIUS, but any RADIUS server will do. We got a separate physical network just for WiFi, so not too many worries about security on that front. Our AP's are HP's low end enterprise stuff - they seem to support whatever you can think of. All Ubuntu Server, baby! And the bad news: I now somebody less knowledgeable than me will eventually take over administration, so the setup has to be as "trivial" as possible. So far, our setup is based only on software from the Ubuntu repositories, with exception of our LDAP administration web application and a few small special scripts. So no "fetch package X, untar, ./configure"-things if avoidable. UPDATE 2009-08-18: While I found several useful resources, there is one serious obstacle: Ignoring EAP-Type/tls because we do not have OpenSSL support. Ignoring EAP-Type/ttls because we do not have OpenSSL support. Ignoring EAP-Type/peap because we do not have OpenSSL support. Basically the Ubuntu version of FreeRADIUS does not support SSL (bug 183840), which makes all the secure EAP-types useless. Bummer. But some useful documentation for anybody interested: http://vuksan.com/linux/dot1x/802-1x-LDAP.html http://tldp.org/HOWTO/html_single/8021X-HOWTO/#confradius UPDATE 2009-08-19: I ended up compiling my own FreeRADIUS package yesterday evening - there's a really good recipe at http://www.linuxinsight.com/building-debian-freeradius-package-with-eap-tls-ttls-peap-support.html (See the comments to the post for updated instructions). I got a certificate from http://CACert.org (you should probably get a "real" cert if possible) Then I followed the instructions at http://vuksan.com/linux/dot1x/802-1x-LDAP.html. This links to http://tldp.org/HOWTO/html_single/8021X-HOWTO/, which is a very worthwhile read if you want to know how WiFi security works. UPDATE 2009-08-27: After following the above guide, I've managed to get FreeRADIUS to talk to LDAP: I've created a test user in LDAP, with the password mr2Yx36M - this gives an LDAP entry roughly of: uid: testuser sambaLMPassword: CF3D6F8A92967E0FE72C57EF50F76A05 sambaNTPassword: DA44187ECA97B7C14A22F29F52BEBD90 userPassword: {SSHA}Z0SwaKO5tuGxgxtceRDjiDGFy6bRL6ja When using radtest, I can connect fine: > radtest testuser "mr2Yx36N" sbhr.dk 0 radius-private-password Sending Access-Request of id 215 to 130.225.235.6 port 1812 User-Name = "msiebuhr" User-Password = "mr2Yx36N" NAS-IP-Address = 127.0.1.1 NAS-Port = 0 rad_recv: Access-Accept packet from host 130.225.235.6 port 1812, id=215, length=20 > But when I try through the AP, it doesn't fly - while it does confirm that it figures out the NT and LM passwords: ... rlm_ldap: sambaNTPassword -> NT-Password == 0x4441343431383745434139374237433134413232463239463532424542443930 rlm_ldap: sambaLMPassword -> LM-Password == 0x4346334436463841393239363745304645373243353745463530463736413035 [ldap] looking for reply items in directory... WARNING: No "known good" password was found in LDAP. Are you sure that the user is configured correctly? [ldap] user testuser authorized to use remote access rlm_ldap: ldap_release_conn: Release Id: 0 ++[ldap] returns ok ++[expiration] returns noop ++[logintime] returns noop [pap] Normalizing NT-Password from hex encoding [pap] Normalizing LM-Password from hex encoding ... It is clear that the NT and LM passwords differ from the above, yet the message [ldap] user testuser authorized to use remote access - and the user is later rejected...

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  • Ubuntu server random hangups.

    - by Ebbe
    Hello all. this is my first post to this forum which I found through the superb podcast "It Conversations" from StackOverFlow. I am quite in my role as server administrator for an exhibition center in London. Basically we have a central file and sql server to which roughly 40 stations connects to to upload/download data used/captured by a set of applications. Over the last weeks we have experienced a few random hangups to our applications, and as it always happen to multiple applications simultaneously I do not believe that the applications are the source of the problem. We also monitor the network using Dartware Intermapper which indicates that all switches and stations on the network has been reachable during the downtime. Thus, its all pointing to the server. I have been looking through all log files I can think of and the only thing so far that I have found suspicious is the following lines in the syslog which are from the time of one of the hangups: Feb 6 17:14:27 es named[5582]: client 127.0.0.1#33721: RFC 1918 response from Internet for 150.0.168.192.in-addr.arpa Feb 6 17:14:40 es named[5582]: client 127.0.0.1#32899: RFC 1918 response from Internet for 152.0.168.192.in-addr.arpa Feb 6 17:15:01 es /USR/SBIN/CRON[1956]: (es) CMD (/home/es/apps/es/bin/es_checksum.sh) Feb 6 17:16:06 es /USR/SBIN/CRON[2031]: (es) CMD (/home/es/apps/es/bin/es_checksum.sh) Feb 6 17:21:00 es named[5582]: *** POKED TIMER *** Feb 6 17:21:00 es last message repeated 2 times Feb 6 17:21:07 es named[5582]: client 127.0.0.1#44194: RFC 1918 response from Internet for 143.0.168.192.in-addr.arpa Feb 6 17:21:12 es named[5582]: client 127.0.0.1#59004: RFC 1918 response from Internet for 164.0.168.192.in-addr.arpa I find a few lines of interesting lines here: 1) "RFC 1918 response from Internet for 150.1.168.192.in-addr.arpa". I see this a lot in the syslog. And basically everytime I do a nslookup for any of the computers in the cluster I get a new similar line in the syslog. I understand from google that this has to do with reverse lookup problems. But I do not know how that could effect the systems. Lets say that one of these lines appear every time one of the userstations connects to the server, which may happen several times a second. Could this possible cause a hangup of the entire server? 2) POKED TIMER, I have googled this quite a lot, but not found an explaination that I can relate to. What does this mean? 3) The timestamps, it seems like the entire server has stopped responding for several minutes. Normally there are many printouts to the syslog per minute on this server. Furthermore the CRON job is set to run once every minute. Which according to the log, hasent happened here. OS: Ubuntu 8.04 Kernel: Linux 2.6.24-24-server x86_64 GNU/Linux. Hardware: Dell R710, RAID1, CPU: 2x XEON E5530. 16GB Memory. Average load is very low, and memory should not be a problem. Please let me know if you need any additional information. Best wishes, Ebbe

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  • broadcom 5722 NIC not installed on Ubuntu Server, although driver present

    - by Bastien
    Hello, I just installed Ubuntu Server 10.04 LTS, running kernel 2.6.32-24-server, on a brand new Dell T110 server, supposedly fully compatible with Ubuntu Server. I have two NICs: one ONBOARD, the other additional on PCI. both of them are Broadcom netXtreme 5572. on the first boot of the system, I could see both cards as eth0 and eth1 (with ifconfig) I configured eth0 as static IP (as planned), and did not configure eth1. after rebooting, one of the two NICs "disappeared": it does not appear in ifconfig at all. the one that disappeared is the ONBOARD one. I investigated a bit and found the following things: the card is SEEN, but not "installed", it appears as "UNCLAIMED" in lshw: *-network UNCLAIMED description: Ethernet controller product: NetXtreme BCM5722 Gigabit Ethernet PCI Express vendor: Broadcom Corporation physical id: 0 bus info: pci@0000:04:00.0 version: 00 width: 64 bits clock: 33MHz capabilities: pm vpd msi pciexpress cap_list configuration: latency=0 resources: memory:df9f0000-df9fffff *-network description: Ethernet interface product: NetXtreme BCM5722 Gigabit Ethernet PCI Express vendor: Broadcom Corporation physical id: 0 bus info: pci@0000:05:00.0 logical name: eth0 version: 00 serial: 00:10:18:60:23:64 size: 100MB/s capacity: 1GB/s width: 64 bits clock: 33MHz capabilities: pm vpd msi pciexpress bus_master cap_list ethernet physical tp 10bt 10bt-fd 100bt 100bt-fd 1000bt 1000bt-fd autonegotiation configuration: autonegotiation=on broadcast=yes driver=tg3 driverversion=3.102 duplex=full firmware=5722-v3.09 ip=10.129.167.25 latency=0 link=yes multicast=yes port=twisted pair speed=100MB/s resources: irq:35 memory:dfaf0000-dfafffff so I checked my dmesg and found a few strange lines, showing, there actually is a problem bringing up this card: [ 3.737506] tg3: Could not obtain valid ethernet address, aborting. [ 3.737527] tg3 0000:04:00.0: PCI INT A disabled [ 3.737535] tg3: probe of 0000:04:00.0 failed with error -22 [ 3.737553] alloc irq_desc for 17 on node -1 [ 3.737555] alloc kstat_irqs on node -1 [ 3.737560] tg3 0000:05:00.0: PCI INT A -> GSI 17 (level, low) -> IRQ 17 [ 3.737566] tg3 0000:05:00.0: setting latency timer to 64 [ 3.793529] eth0: Tigon3 [partno(BCM95722A2202G) rev a200] (PCI Express) MAC address 00:10:18:60:23:64 [ 3.793532] eth0: attached PHY is 5722/5756 (10/100/1000Base-T Ethernet) (WireSpeed[1]) [ 3.793534] eth0: RXcsums[1] LinkChgREG[0] MIirq[0] ASF[0] TSOcap[1] [ 3.793536] eth0: dma_rwctrl[76180000] dma_mask[64-bit] that actually shows that one NIC is recognized, the other is not. I researched a bit more, with lspci -v: 04:00.0 Ethernet controller: Broadcom Corporation NetXtreme BCM5722 Gigabit Ethernet PCI Express Subsystem: Broadcom Corporation NetXtreme BCM5722 Gigabit Ethernet PCI Express Flags: fast devsel, IRQ 16 Memory at df9f0000 (64-bit, non-prefetchable) [size=64K] Capabilities: [48] Power Management version 3 Capabilities: [50] Vital Product Data <?> Capabilities: [58] Vendor Specific Information <?> Capabilities: [e8] Message Signalled Interrupts: Mask- 64bit+ Queue=0/0 Enable- Capabilities: [d0] Express Endpoint, MSI 00 Capabilities: [100] Advanced Error Reporting <?> Capabilities: [13c] Virtual Channel <?> Capabilities: [160] Device Serial Number 00-00-00-fe-ff-00-00-00 Kernel modules: tg3 05:00.0 Ethernet controller: Broadcom Corporation NetXtreme BCM5722 Gigabit Ethernet PCI Express Subsystem: Broadcom Corporation NetXtreme BCM5722 Gigabit Ethernet PCI Express Flags: bus master, fast devsel, latency 0, IRQ 35 Memory at dfaf0000 (64-bit, non-prefetchable) [size=64K] Expansion ROM at <ignored> [disabled] Capabilities: [48] Power Management version 3 Capabilities: [50] Vital Product Data <?> Capabilities: [58] Vendor Specific Information <?> Capabilities: [e8] Message Signalled Interrupts: Mask- 64bit+ Queue=0/0 Enable+ Capabilities: [d0] Express Endpoint, MSI 00 Capabilities: [100] Advanced Error Reporting <?> Capabilities: [13c] Virtual Channel <?> Capabilities: [160] Device Serial Number 64-23-60-fe-ff-18-10-00 Capabilities: [16c] Power Budgeting <?> Kernel driver in use: tg3 Kernel modules: tg3 here I could see that the MAC address is 00-00-00-FE-FF-00-00-00, which, according to some forum posts on several websites, could be an issue. I've researched everything I could on the net, and found out several people having slightly comparable issues, but they usually involve different HW, and do not provide a proper explanation / solution... I would appreciate if anyone around here has some info to share ! thanks

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  • Postfix - Gmail - Mountain Lion // can't send mail

    - by miako
    I have read most of the tutorials found on google but still can't make it work. I run the command : date | mail -s "Test" [email protected] . The log is this : Oct 22 11:38:00 XXX.local postfix/master[288]: daemon started -- version 2.9.2, configuration /etc/postfix Oct 22 11:38:00 XXX.local postfix/pickup[289]: 9D85418A031: uid=501 from=<me> Oct 22 11:38:00 XXX.local postfix/cleanup[291]: 9D85418A031: message-id=<[email protected]> Oct 22 11:38:00 XXX.local postfix/qmgr[290]: 9D85418A031: from=<[email protected]>, size=327, nrcpt=1 (queue active) Oct 22 11:38:00 XXX.local postfix/smtp[293]: initializing the client-side TLS engine Oct 22 11:38:02 XXX.local postfix/smtp[293]: setting up TLS connection to smtp.gmail.com[173.194.70.109]:587 Oct 22 11:38:02 XXX.local postfix/smtp[293]: smtp.gmail.com[173.194.70.109]:587: TLS cipher list "ALL:!EXPORT:!LOW:+RC4:@STRENGTH:!eNULL" Oct 22 11:38:02 XXX.local postfix/smtp[293]: SSL_connect:before/connect initialization Oct 22 11:38:02 XXX.local postfix/smtp[293]: SSL_connect:SSLv2/v3 write client hello A Oct 22 11:38:03 XXX.local postfix/smtp[293]: SSL_connect:SSLv3 read server hello A Oct 22 11:38:03 XXX.local postfix/smtp[293]: smtp.gmail.com[173.194.70.109]:587: certificate verification depth=2 verify=0 subject=/C=US/O=GeoTrust Inc./CN=GeoTrust Global CA Oct 22 11:38:03 --- last message repeated 1 time --- Oct 22 11:38:03 XXX.local postfix/smtp[293]: smtp.gmail.com[173.194.70.109]:587: certificate verification depth=1 verify=1 subject=/C=US/O=Google Inc/CN=Google Internet Authority G2 Oct 22 11:38:03 XXX.local postfix/smtp[293]: smtp.gmail.com[173.194.70.109]:587: certificate verification depth=0 verify=1 subject=/C=US/ST=California/L=Mountain View/O=Google Inc/CN=smtp.gmail.com Oct 22 11:38:03 XXX.local postfix/smtp[293]: SSL_connect:SSLv3 read server certificate A Oct 22 11:38:03 XXX.local postfix/smtp[293]: SSL_connect:SSLv3 read server done A Oct 22 11:38:03 XXX.local postfix/smtp[293]: SSL_connect:SSLv3 write client key exchange A Oct 22 11:38:03 XXX.local postfix/smtp[293]: SSL_connect:SSLv3 write change cipher spec A Oct 22 11:38:03 XXX.local postfix/smtp[293]: SSL_connect:SSLv3 write finished A Oct 22 11:38:03 XXX.local postfix/smtp[293]: SSL_connect:SSLv3 flush data Oct 22 11:38:03 XXX.local postfix/smtp[293]: SSL_connect:SSLv3 read server session ticket A Oct 22 11:38:03 XXX.local postfix/smtp[293]: SSL_connect:SSLv3 read finished A Oct 22 11:38:03 XXX.local postfix/smtp[293]: smtp.gmail.com[173.194.70.109]:587: subject_CN=smtp.gmail.com, issuer_CN=Google Internet Authority G2, fingerprint E4:CA:10:85:C3:53:00:E6:A1:D2:AC:C4:35:E4:A2:10, pkey_fingerprint=D6:06:2E:15:AF:DF:E9:50:A5:B4:E2:E4:C5:2E:F9:BA Oct 22 11:38:03 XXX.local postfix/smtp[293]: Untrusted TLS connection established to smtp.gmail.com[173.194.70.109]:587: TLSv1 with cipher RC4-SHA (128/128 bits) Oct 22 11:38:03 XXX.local postfix/smtp[293]: 9D85418A031: to=<[email protected]>, relay=smtp.gmail.com[173.194.70.109]:587, delay=3.4, delays=0.26/0.13/2.8/0.26, dsn=5.5.1, status=bounced (host smtp.gmail.com[173.194.70.109] said: 530-5.5.1 Authentication Required. Learn more at 530 5.5.1 http://support.google.com/mail/bin/answer.py?answer=14257 s3sm54097220eeo.3 - gsmtp (in reply to MAIL FROM command)) Oct 22 11:38:04 XXX.local postfix/cleanup[291]: D4D2F18A03C: message-id=<[email protected]> Oct 22 11:38:04 XXX.local postfix/qmgr[290]: D4D2F18A03C: from=<>, size=2382, nrcpt=1 (queue active) Oct 22 11:38:04 XXX.local postfix/bounce[297]: 9D85418A031: sender non-delivery notification: D4D2F18A03C Oct 22 11:38:04 XXX.local postfix/qmgr[290]: 9D85418A031: removed Oct 22 11:38:04 XXX.local postfix/local[298]: D4D2F18A03C: to=<[email protected]>, relay=local, delay=0.11, delays=0/0.08/0/0.02, dsn=2.0.0, status=sent (delivered to mailbox) Oct 22 11:38:04 XXX.local postfix/qmgr[290]: D4D2F18A03C: removed Oct 22 11:39:00 XXX.local postfix/master[288]: master exit time has arrived I am really confused as i have never setup MTA again an i need it for local web development. I don't use XAMPP. I use the built in Servers. Can anyone guide me?

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  • creating a heirarchy of terminals or workspaces

    - by intuited
    <rant This question occurred to me ('occurred' meaning 'whispered seductively in my ear for the 100th time') while using GNU-screen, so I'll make that my example. However this is a much more general question about user interfaces and what I perceive as a flawmissing feature in every implementation I've yet seen. I'm wondering if there is some way to create a heirarchy/tree of terminals in a screen session. EG I'd like to have something like 1 bash 1.1 bash 1.2 bash 2 bash 3 bash 3.1 bash 3.1.1 bash 3.1.2 bash It would be good if the terminals could be labelled instead of having to be navigated to via some arrangement that I suspect doesn't exist. So then you could jump to one using eg ^A:goto happydays or ^A:goto dykstra.angry. So to generalize that: Firefox, Chrome, Internet Explorer, gnome-terminal, roxterm, konsole, yakuake, OpenOffice, Microsoft Office, Mr. Snuffaluppagus's Funtime Carousel™, and Your Mom's Jam Browser™ all offer the ability to create a flat set of tabs containing documents of an identical nature: web pages, terminals, documents, fun rideable animals, and jams. GNU-screen implements the same functionality without using tabs. Linux and OS/X window managers provide the ability to organize windows into an array of workspaces, which amounts to again, the same deal. Over the past few years, this has become a more or less ubiquitous concept which has been righteously welcomed into the far reaches of the computer interface funfest. Heavy users of these systems quickly encounter a problem with it: the set of entities is flat. In the case of workspaces, an option may be available to create a 2d array. However none of these applications furnish their users with the ability to create heirarchies, similar to filesystem directory structures, containing instances of their particular contained type. I for one am consistently bothered by this, and am wondering if the community can offer some wisdom as to why this has not happened in any of the foremost collections of computational functionality our culture has yet produced. Or if perhaps it has and I'm just an ignorant savage. I'd like to be able to not only group things into a tree structure, but also to create references (aka symbolic links, aka pointers) from one part of the structure to another, as well as apply properties (eg default directory, colorscheme, ...) recursively downward from a given node. I see no reason why we shouldn't be able to save these structures as known sessions, and apply tags to particular instances. So then you can sort through them by tag, find them by name, or just use the arrow keys (with an appropriate modifier) to move left or right and in or out of a given level. Another key combo would serve to create a branch in the place of the current terminal/webpage/lifelike statue/spreadsheet/spreadsheet sheet/presentation/jam and move that entity into the new branch, then create a fresh one as a sibling to it: a second leaf node within the same branch node. They would get along well. I find it a bit astonishing that this hasn't happened yet, and the only reason I can venture as a guess is that the creators of these fine systems do not consider such functionality to be useful to a significant portion of their userbase. I posit that the probability that that such an assumption would be correct is pretty low. On the other hand, given the relative ease with which such structures can be implemented using modern libraries/languages, it doesn't seem likely that difficulty of implementation would be a major roadblock. If it could be done in 1972 or whenever within the constraints of a filesystem driver, it should be relatively painless to implement in 2010 in a fullblown application. Given that all of these systems are capable of maintaining a set of equivalent entities, it seems unlikely that a major infrastructure overhaul would be necessary in order to enable a navigable heirarchy of them. </rant Mostly I'm just looking to start up a discussion and/or brainstorming on this topic. Any ideas, examples, criticism, or analysis are quite welcome. * Mr. Snuffaluppagus's Funtime Carousel is a registered trademark of Children's Television Workshop Inc. * Your Mom's Jam Browser is a registered trademark of Your Mom Inc.

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  • RAID and Partitions, guidance Needed

    - by beauregarde
    Alright I have a Biostar TA790GX3A2+ Mobo 2x Seagate 750Gb Hard drive (with 2 different speeds) an X4 9750 A GeForce 9800GT and 2GB RAM Hardware Specs link text I want to configure my computer with partitions in various RAID arrays. The Partitions I know i want (disk letters are mostly for reference here) C: XP Boot D: XP Swap E: XP Run F: Games G: Data The Partitions I think I want (repeat caveat) H: small FAT for Win Legacy and DOS I: Linux J: Linux Swap K-?M?: Other Linux /whatever partitions N & O: Attic for D1 and D2 What I'd like to do, is have C: written on Disk 1 (D1),.. D: on D2,.. E: and F: striped on D1 & D2,.. G: mirrored or D1 & D2,.. I: on D2 (so i can just switch disc boot priority to open in Ubuntu),.. J: on D1,.. and H: somewhere low on D1 I am inexperienced with VMs, so i am unsure as to whether those run out of XP, or whether i need to reserve a primary partition for them. However, I think they would be preferable for testing new OS's to scheduling a partition for the same purpose. I'm also not married to XP, but -64 IS pretty important to me. QUestion Time 1) Ignoring the irrationality of it all, is such a configuration possible? If not, can some pseudo-approximation be achieved? 2) My RAID is software, isnt it? 3) How much should I short a 750GB HD? And should i use that space for my attics, or for my attics and something else, or for something else (.iso's perhaps?)? 4) if XP is striped on D1 & D2, will that interfere egregiously with my Swap writes on D2? If so, would striping both XP and Swap relieve (or at least mitigate) that issue? Should XP and Swap just be written normally on 2 different HDs? 5) Should I keep DL's and Drivers on E: (XP Run), F: (Games), or elsewhere? 6) Is 4GB enough for C:? 7) Is 30GB enough (or too much) for E:? 8) How much to reserve for the Linux and sub-Linux partitions? Also, where on the platter do you think i should put them? 9) Am I a fool to use FAT16 instead of FAT32 for H: because I'd rather run 95 than 98SE? If not, do you think 2GB or 4GB? 10) I cant predict what my Max Commit Charge will be, so recommendations for Pagefile size? 5GB? 12GB? 11) VMs, where do I run them? do they exacerbate anything? Would it be better to just emulate Linux, 95, and DOS? EC) What havent I considered that I really should? Notes: computer is mostly for playing games and watching media, though I wouldnt rule out the use of particularly blah-intensive anything.

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  • Have I pushed the limits of my current VPS or is there room for optimization?

    - by JRameau
    I am currently on a mediatemple DV server (basic) 512mb dedicated ram, this is a CentOS based VPS with Plesk and Virtuozzo. My experience with it from day 1 has been bad and I only could sooth my server issues with several caching "Band-aids," but my sites are not as small as they were a year ago either so the issues have worsen. I have 3 Drupal installs running on separate (plesk) domains, 1 of those drupal installs is a multisite, that consists of 5-6 sites 2 of those sites are bringing in actual traffic. Those caching "Band-aids" I mentioned are APC, which seemed to help alot initially, and Drupal's Boost, which is considered a poorman's Varnish, it makes all my pages static for anonymous users. Last 30day combined estimate on Google Ananlytics: 90k visitors 260k pageviews. Issue: alot of downtime, I am continually checking if my sites are up, and lately I have been finding it down more than 3 times daily. Restarting Apache will bring it back up, for some time. I have google search every error message and looked up ways to optimize my DV server, and I am beyond stump what is my next move. Is this server bad, have I hit a impossibly low restriction such as the 12mb kernel memory barrier (kmemsize), is it on my end, do I need to optimize some more? *I have provided as much information as I can below, any help or suggestions given will be appreciated Common Error messages I see in the log: [error] (12)Cannot allocate memory: fork: Unable to fork new process [error] make_obcallback: could not import mod_python.apache.\n Traceback (most recent call last): File "/usr/lib/python2.4/site-packages/mod_python/apache.py", line 21, in ? import traceback File "/usr/lib/python2.4/traceback.py", line 3, in ? import linecache ImportError: No module named linecache [error] python_handler: no interpreter callback found. [warn-phpd] mmap cache can't open /var/www/vhosts/***/httpdocs/*** - Too many open files in system (pid ***) [alert] Child 8125 returned a Fatal error... Apache is exiting! [emerg] (43)Identifier removed: couldn't grab the accept mutex [emerg] (22)Invalid argument: couldn't release the accept mutex cat /proc/user_beancounters: Version: 2.5 uid resource held maxheld barrier limit failcnt 41548: kmemsize 4582652 5306699 12288832 13517715 21105036 lockedpages 0 0 600 600 0 privvmpages 38151 42676 229036 249036 0 shmpages 16274 16274 17237 17237 2 dummy 0 0 0 0 0 numproc 43 46 300 300 0 physpages 27260 29528 0 2147483647 0 vmguarpages 0 0 131072 2147483647 0 oomguarpages 27270 29538 131072 2147483647 0 numtcpsock 21 29 300 300 0 numflock 8 8 480 528 0 numpty 1 1 30 30 0 numsiginfo 0 1 1024 1024 0 tcpsndbuf 648440 675272 2867477 4096277 1711499 tcprcvbuf 301620 359716 2867477 4096277 0 othersockbuf 4472 4472 1433738 2662538 0 dgramrcvbuf 0 0 1433738 1433738 0 numothersock 12 12 300 300 0 dcachesize 0 0 2684271 2764800 0 numfile 3447 3496 6300 6300 3872 dummy 0 0 0 0 0 dummy 0 0 0 0 0 dummy 0 0 0 0 0 numiptent 14 14 200 200 0 TOP: (In January the load avg was really high 3-10, I was able to bring it down where it is currently is by giving APC more memory play around with) top - 16:46:07 up 2:13, 1 user, load average: 0.34, 0.20, 0.20 Tasks: 40 total, 2 running, 37 sleeping, 0 stopped, 1 zombie Cpu(s): 0.3% us, 0.1% sy, 0.0% ni, 99.7% id, 0.0% wa, 0.0% hi, 0.0% si Mem: 916144k total, 156668k used, 759476k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached MySQLTuner: (after optimizing every table and repairing any table with overage I got the fragmented count down to 86) [--] Data in MyISAM tables: 285M (Tables: 1105) [!!] Total fragmented tables: 86 [--] Up for: 2h 44m 38s (409K q [41.421 qps], 6K conn, TX: 1B, RX: 174M) [--] Reads / Writes: 79% / 21% [--] Total buffers: 58.0M global + 2.7M per thread (100 max threads) [!!] Query cache prunes per day: 675307 [!!] Temporary tables created on disk: 35% (7K on disk / 20K total)

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