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  • What's up with LDoms: Part 2 - Creating a first, simple guest

    - by Stefan Hinker
    Welcome back! In the first part, we discussed the basic concepts of LDoms and how to configure a simple control domain.  We saw how resources were put aside for guest systems and what infrastructure we need for them.  With that, we are now ready to create a first, very simple guest domain.  In this first example, we'll keep things very simple.  Later on, we'll have a detailed look at things like sizing, IO redundancy, other types of IO as well as security. For now,let's start with this very simple guest.  It'll have one core's worth of CPU, one crypto unit, 8GB of RAM, a single boot disk and one network port.  CPU and RAM are easy.  The network port we'll create by attaching a virtual network port to the vswitch we created in the primary domain.  This is very much like plugging a cable into a computer system on one end and a network switch on the other.  For the boot disk, we'll need two things: A physical piece of storage to hold the data - this is called the backend device in LDoms speak.  And then a mapping between that storage and the guest domain, giving it access to that virtual disk.  For this example, we'll use a ZFS volume for the backend.  We'll discuss what other options there are for this and how to chose the right one in a later article.  Here we go: root@sun # ldm create mars root@sun # ldm set-vcpu 8 mars root@sun # ldm set-mau 1 mars root@sun # ldm set-memory 8g mars root@sun # zfs create rpool/guests root@sun # zfs create -V 32g rpool/guests/mars.bootdisk root@sun # ldm add-vdsdev /dev/zvol/dsk/rpool/guests/mars.bootdisk \ mars.root@primary-vds root@sun # ldm add-vdisk root mars.root@primary-vds mars root@sun # ldm add-vnet net0 switch-primary mars That's all, mars is now ready to power on.  There are just three commands between us and the OK prompt of mars:  We have to "bind" the domain, start it and connect to its console.  Binding is the process where the hypervisor actually puts all the pieces that we've configured together.  If we made a mistake, binding is where we'll be told (starting in version 2.1, a lot of sanity checking has been put into the config commands themselves, but binding will catch everything else).  Once bound, we can start (and of course later stop) the domain, which will trigger the boot process of OBP.  By default, the domain will then try to boot right away.  If we don't want that, we can set "auto-boot?" to false.  Finally, we'll use telnet to connect to the console of our newly created guest.  The output of "ldm list" shows us what port has been assigned to mars.  By default, the console service only listens on the loopback interface, so using telnet is not a large security concern here. root@sun # ldm set-variable auto-boot\?=false mars root@sun # ldm bind mars root@sun # ldm start mars root@sun # ldm list NAME STATE FLAGS CONS VCPU MEMORY UTIL UPTIME primary active -n-cv- UART 8 7680M 0.5% 1d 4h 30m mars active -t---- 5000 8 8G 12% 1s root@sun # telnet localhost 5000 Trying 127.0.0.1... Connected to localhost. Escape character is '^]'. ~Connecting to console "mars" in group "mars" .... Press ~? for control options .. {0} ok banner SPARC T3-4, No Keyboard Copyright (c) 1998, 2011, Oracle and/or its affiliates. All rights reserved. OpenBoot 4.33.1, 8192 MB memory available, Serial # 87203131. Ethernet address 0:21:28:24:1b:50, Host ID: 85241b50. {0} ok We're done, mars is ready to install Solaris, preferably using AI, of course ;-)  But before we do that, let's have a little look at the OBP environment to see how our virtual devices show up here: {0} ok printenv auto-boot? auto-boot? = false {0} ok printenv boot-device boot-device = disk net {0} ok devalias root /virtual-devices@100/channel-devices@200/disk@0 net0 /virtual-devices@100/channel-devices@200/network@0 net /virtual-devices@100/channel-devices@200/network@0 disk /virtual-devices@100/channel-devices@200/disk@0 virtual-console /virtual-devices/console@1 name aliases We can see that setting the OBP variable "auto-boot?" to false with the ldm command worked.  Of course, we'd normally set this to "true" to allow Solaris to boot right away once the LDom guest is started.  The setting for "boot-device" is the default "disk net", which means OBP would try to boot off the devices pointed to by the aliases "disk" and "net" in that order, which usually means "disk" once Solaris is installed on the disk image.  The actual devices these aliases point to are shown with the command "devalias".  Here, we have one line for both "disk" and "net".  The device paths speak for themselves.  Note that each of these devices has a second alias: "net0" for the network device and "root" for the disk device.  These are the very same names we've given these devices in the control domain with the commands "ldm add-vnet" and "ldm add-vdisk".  Remember this, as it is very useful once you have several dozen disk devices... To wrap this up, in this part we've created a simple guest domain, complete with CPU, memory, boot disk and network connectivity.  This should be enough to get you going.  I will cover all the more advanced features and a little more theoretical background in several follow-on articles.  For some background reading, I'd recommend the following links: LDoms 2.2 Admin Guide: Setting up Guest Domains Virtual Console Server: vntsd manpage - This includes the control sequences and commands available to control the console session. OpenBoot 4.x command reference - All the things you can do at the ok prompt

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  • Inside Red Gate - Ricky Leeks

    - by Simon Cooper
    So, one of our profilers has a problem. Red Gate produces two .NET profilers - ANTS Performance Profiler (APP) and ANTS Memory Profiler (AMP). Both products help .NET developers solve problems they are virtually guaranteed to encounter at some point in their careers - slow code, and high memory usage, respectively. Everyone understands slow code - the symptoms are very obvious (an operation takes 2 hours when it should take 10 seconds), you know when you've solved it (the same operation now takes 15 seconds), and everyone understands how you can use a profiler like APP to help solve your particular problem. High memory usage is a much more subtle and misunderstood concept. How can .NET have memory leaks? The garbage collector, and how the CLR uses and frees memory, is one of the most misunderstood concepts in .NET. There's hundreds of blog posts out there covering various aspects of the GC and .NET memory, some of them helpful, some of them confusing, and some of them are just plain wrong. There's a lot of misconceptions out there. And, if you have got an application that uses far too much memory, it can be hard to wade through all the contradictory information available to even get an idea as to what's going on, let alone trying to solve it. That's where a memory profiler, like AMP, comes into play. Unfortunately, that's not the end of the issue. .NET memory management is a large, complicated, and misunderstood problem. Even armed with a profiler, you need to understand what .NET is doing with your objects, how it processes them, and how it frees them, to be able to use the profiler effectively to solve your particular problem. And that's what's wrong with AMP - even with all the thought, designs, UX sessions, and research we've put into AMP itself, some users simply don't have the knowledge required to be able to understand what AMP is telling them about how their application uses memory, and so they have problems understanding & solving their memory problem. Ricky Leeks This is where Ricky Leeks comes in. Created by one of the many...colourful...people in Red Gate, he headlines and promotes several tutorials, pages, and articles all with information on how .NET memory management actually works, with the goal to help educate developers on .NET memory management. And educating us all on how far you can push various vegetable-based puns. This, in turn, not only helps them understand and solve any memory issues they may be having, but helps them proactively code against such memory issues in their existing code. Ricky's latest outing is an interview on .NET Rocks, providing information on the Top 5 .NET Memory Management Gotchas, along with information on a free ebook on .NET Memory Management. Don't worry, there's loads more vegetable-based jokes where those came from...

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  • Single Instance of Child Forms in MDI Applications

    - by Akshay Deep Lamba
    In MDI application we can have multiple forms and can work with multiple forms i.e. MDI childs at a time but while developing applications we don't pay attention to the minute details of memory management. Take this as an example, when we develop application say preferably an MDI application, we have multiple child forms inside one parent form. On MDI parent form we would like to have menu strip and tab strip which in turn calls other forms which build the other parts of the application. This also makes our application looks pretty and eye-catching (not much actually). Now on a first go when a user clicks a menu item or a button on a tab strip an application initialize a new instance of a form and shows it to the user inside the MDI parent, if a user again clicks the same button the application creates another new instance for the form and presents it to the user, this will result in the un-necessary usage of the memory. Therefore, if you wish to have your application to prevent generating new instances of the forms then use the below method which will first check if the the form is visible among the list of all the child forms and then compare their types, if the form types matches with the form we are trying to initialize then the form will get activated or we can say it will be bring to front else it will be initialize and set visible to the user in the MDI parent window. The method we are using: private bool CheckForDuplicateForm(Form newForm) { bool bValue = false; foreach (Form frm in this.MdiChildren) { if (frm.GetType() == newForm.GetType()) { frm.Activate(); bValue = true; } } return bValue; } Usage: First we need to initialize the form using the NEW keyword ReportForm ReportForm = new ReportForm(); We can now check if there is another form present in the MDI parent. Here, we will use the above method to check the presence of the form and set the result in a bool variable as our function return bool value. bool frmPresent = CheckForDuplicateForm(Reportfrm); Once the above check is done then depending on the value received from the method we can set our form. if (frmPresent) return; else if (!frmPresent) { Reportfrm.MdiParent = this; Reportfrm.Show(); } In the end this is the code you will have at you menu item or tab strip click: ReportForm Reportfrm = new ReportForm(); bool frmPresent = CheckForDuplicateForm(Reportfrm); if (frmPresent) return; else if (!frmPresent) { Reportfrm.MdiParent = this; Reportfrm.Show(); }

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  • SBUG Session: The Enterprise Cache

    - by EltonStoneman
    [Source: http://geekswithblogs.net/EltonStoneman] I did a session on "The Enterprise Cache" at the UK SOA/BPM User Group yesterday which generated some useful discussion. The proposal was for a dedicated caching layer which all app servers and service providers can hook into, sharing resources and common data. The architecture might end up like this: I'll update this post with a link to the slide deck once it's available. The next session will have Udi Dahan walking through nServiceBus, register on EventBrite if you want to come along. Synopsis Looked at the benefits and drawbacks of app-centric isolated caches, compared to an enterprise-wide shared cache running on dedicated nodes; Suggested issues and risks around caching including staleness of data, resource usage, performance and testing; Walked through a generic service cache implemented as a WCF behaviour – suitable for IIS- or BizTalk-hosted services - which I'll be releasing on CodePlex shortly; Listed common options for cache providers and their offerings. Discussion Cache usage. Different value propositions for utilising the cache: improved performance, isolation from underlying systems (e.g. service output caching can have a TTL large enough to cover downtime), reduced resource impact – CPU, memory, SQL and cost (e.g. caching results of paid-for services). Dedicated cache nodes. Preferred over in-host caching provided latency is acceptable. Depending on cache provider, can offer easy scalability and global replication so cache clients always use local nodes. Restriction of AppFabric Caching to Windows Server 2008 not viewed as a concern. Security. Limited security model in most cache providers. Options for securing cache content suggested as custom implementations. Obfuscating keys and serialized values may mean additional security is not needed. Depending on security requirements and architecture, can ensure cache servers only accessible to cache clients via IPsec. Staleness. Generally thought to be an overrated problem. Thinking in line with eventual consistency, that serving up stale data may not be a significant issue. Good technical arguments support this, although I suspect business users will be harder to persuade. Providers. Positive feedback for AppFabric Caching – speed, configurability and richness of the distributed model making it a good enterprise choice. .NET port of memcached well thought of for performance but lack of replication makes it less suitable for these shared scenarios. Replicated fork – repcached – untried and less active than memcached. NCache also well thought of, but Express version too limited for enterprise scenarios, and commercial versions look costly compared to AppFabric.

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  • Installing IIS 8 on Windows 8

    - by The Official Microsoft IIS Site
    In case you haven’t heard Windows 8 is now available. As a web developer I think one of the best reasons to upgrade to Windows 8 is that you can start testing IIS 8 right from your PC. This way if you don’t have a budget for a new server you can start to familiarize yourself with some of the new features. IIS 8 has some great new features such as Dynamic IP Restrictions an Application Initialization . However one of the best new features of IIS 8 enables you to throttle the CPU utilization for any...(read more)

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  • The winning combination: Oracle VM Server for x86 + Oracle Sun Fire HW

    - by Karim Berrah
    You might be wondering why OVM Server for x86 (OVM/x86 here and below) should be seriously considered as a nice (business point of view) alternative to standard Hypervisors, if you are virtualizing Oracle Software, especially if you are planning to move to Oracle x86 Hardware (rackmount or blades). Well, let see some "not well known" facts that might interest you and help you in saving more money for your entire company (and not only the Virtulization team). Fact 1: OVM/x86 is considered as a hard partitionning technology (check page 2 of Oracle Server Partitionning Licencing Policies), so if you are buying new servers based on the latest INTEL Xeon E7 CPUs (10 cores per Socket) and have some licencing issues in deploying further Oracle SW, because you are using a hypervisor not recognized as a hard partitionning technology (like VMware), then you need to check here how to do it with OVM . This might help you to continue to deploy your Oracle DB instances on new x86 HW (12 cores, 40 cores, 64 cores servers) in a reasonable way, without having to pay licences for 12 CPU, 40 CPUs or 64 CPUs. You might also consider migrating your legacy Oracle DB DBs to a virtualized environment like OVM/x86 an recover some CPU licences, that can be reused somewhere else in production. Fact 2: OVM/x86 is free to use, without any extra licence for any specific feature (LiveMigration, High Availability, Embedded Management Console). If you want to use it on non Oracle HW, there is a support fee per  system and per year, that is much below VMware support (Oracle VM Premier Limited Support for systems up to 2 CPUs, and Oracle VM Premier Support for any bigger system, independently on the number of populated sockets). Fact 3: support is included with your Oracle x86 HW support (OPS for systems)  and you can re-install on you system Oracle Linux, Oracle Solaris or Oracle VM server for x86, without beeing charged, an keeping the same support level. Fact 4: it is less expensive to virtualize Oracle Linux or Oracle Solaris on OVM/x86 with Oracle HW that any other similar solution with VMware, because all the VMs are then supported and licenced when you buy Oracle HW with OPS. Fact 5: Oracle VM Templates bring you many Virtual Machines already installed, patched and optimized for various Oracle applications. And to be more specific, those templates are fully supported by Oracle, which is not really true when it comes to another hypervisor. By optimized VM Kernel, I mean PV drivers, OVM-ready kernels in the VM, single source clock for all the VMS, better memory management of the VM ... Fact 6: there is no extra costs for a management console. OVM comes with a free OVM Manager package for Linux.  More infos: Latest announcement of OVM/x86 update 2.2.2 A short flash demo of OVM server for x86 A short flash demo on OVM Templates and Virtual Assembly Builder Oracle Linux Support and Oracle VM Support Global Price List  ISVs: Benefits for Independant Sofwtare Vendors (ISVs) in using OVM/x86 Consultant Services: Advanced Customer Services for OVM/x86  Technical Features Best practices and Guideline for OVM with Oracle Blades Reduce TCO and get more Value from your x86 Infrastructure

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  • JRockit Virtual Edition Debug Key

    - by changjae.lee
    There are a few keys that can help the debugging of the JRVE env in console. you can type in each keys in JRVE console to see what's happening under the hood. key '0' : System information key '5' : Enable shutdown key '7' : Start JRockit Management Server (port 7091) key '8' : Statistics Counters key '9' : Full Thread Dump key '0' : Status of Debug-key Below is the sample out from each keys. Debug-key '1' pressed ============ JRockitVE System Information ============ JRockitVE version : 11.1.1.3.0-67-131044 Kernel version : 6.1.0.0-97-131024 JVM version : R27.6.6-28_o-125824-1.6.0_17-20091214-2104-linux-ia32 Hypervisor version : Xen 3.4.0 Boot state : 0x007effff Uptime : 0 days 02:04:31 CPU : uniprocessor @2327 Mhz CPU usage : 0% ctx/s: 285 preempt/s: 0 migrations/s: 0 Physical pages : 82379/261121 (321/1020 MB) Network info : 10.179.97.64 (10.179.97.64/255.255.254.0) GateWay : 10.179.96.1 MAC address : 00:16:3e:7e:dc:78 Boot options : vfsCwd : /application/user_projects/domains/wlsve_domain mainArgs : java -javaagent:/jrockitve/services/sshd/sshd.jar -cp /jrockitve/jrockit/lib/tools.jar:/jrockitve/lib/common.jar:/application/patch_wls1032/profiles/default/sys_manifest_classpath/weblogic_patch.jar:/application/wlserver_10.3/server/lib/weblogic.jar -Dweblogic.Name=WlsveAdmin -Dweblogic.Domain=wlsve_domain -Dweblogic.management.username=weblogic -Dweblogic.management.password=welcome1 -Dweblogic.management.GenerateDefaultConfig=true weblogic.Server consLog : /jrockitve/log/jrockitve.log mounts : ext2 / dev0; posixLocale : en_US posixTimezone : Asia/Seoul posixEncoding : ISO-8859-1 Local disk : Size: 1024M, Used: 728M, Free: 295M ======================================================== Debug-key '5' pressed Shutdown enabled. Debug-key '7' pressed [JRockit] Management server already started. Ignoring request. Debug-key '8' pressed Starting stat recording Debug-key '8' pressed ========= Statistics Counters for the last second ========= dev.eth0_rx.cnt : 22 packets dev.eth0_rx_bytes.cnt : 2704 bytes dev.net_interrupts.cnt : 22 interrupts evt.timer_ticks.cnt : 123 ticks hyper.priv_entries.cnt : 144 entries schedule.context_switches.cnt : 271 switches schedule.idle_cpu_time.cnt : 997318849 nanoseconds schedule.idle_cpu_time_0.cnt : 997318849 nanoseconds schedule.total_cpu_time.cnt : 1000031757 nanoseconds time.system_time.cnt : 1000 ns time.timer_updates.cnt : 123 updates time.wallclock_time.cnt : 1000 ns ======================================= Debug-key '9' pressed ===== FULL THREAD DUMP =============== Fri Jun 4 08:22:12 2010 BEA JRockit(R) R27.6.6-28_o-125824-1.6.0_17-20091214-2104-linux-ia32 "Main Thread" id=1 idx=0x4 tid=1 prio=5 alive, in native, waiting -- Waiting for notification on: weblogic/t3/srvr/T3Srvr@0x646ede8[fat lock] at jrockit/vm/Threads.waitForNotifySignal(JLjava/lang/Object;)Z(Native Method) at java/lang/Object.wait(J)V(Native Method) at java/lang/Object.wait(Object.java:485) at weblogic/t3/srvr/T3Srvr.waitForDeath(T3Srvr.java:919) ^-- Lock released while waiting: weblogic/t3/srvr/T3Srvr@0x646ede8[fat lock] at weblogic/t3/srvr/T3Srvr.run(T3Srvr.java:479) at weblogic/Server.main(Server.java:67) at jrockit/vm/RNI.c2java(IIIII)V(Native Method) -- end of trace "(Signal Handler)" id=2 idx=0x8 tid=2 prio=5 alive, in native, daemon Open lock chains ================ Chain 1: "ExecuteThread: '0' for queue: 'weblogic.socket.Muxer'" id=23 idx=0x50 tid=20 waiting for java/lang/String@0x630c588 held by: "ExecuteThread: '1' for queue: 'weblogic.socket.Muxer'" id=24 idx=0x54 tid=21 (active) ===== END OF THREAD DUMP =============== Debug-key '0' pressed Debug-keys enabled Happy Cloud Walking :)

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  • Using Node.js as an accelerator for WCF REST services

    - by Elton Stoneman
    Node.js is a server-side JavaScript platform "for easily building fast, scalable network applications". It's built on Google's V8 JavaScript engine and uses an (almost) entirely async event-driven processing model, running in a single thread. If you're new to Node and your reaction is "why would I want to run JavaScript on the server side?", this is the headline answer: in 150 lines of JavaScript you can build a Node.js app which works as an accelerator for WCF REST services*. It can double your messages-per-second throughput, halve your CPU workload and use one-fifth of the memory footprint, compared to the WCF services direct.   Well, it can if: 1) your WCF services are first-class HTTP citizens, honouring client cache ETag headers in request and response; 2) your services do a reasonable amount of work to build a response; 3) your data is read more often than it's written. In one of my projects I have a set of REST services in WCF which deal with data that only gets updated weekly, but which can be read hundreds of times an hour. The services issue ETags and will return a 304 if the client sends a request with the current ETag, which means in the most common scenario the client uses its local cached copy. But when the weekly update happens, then all the client caches are invalidated and they all need the same new data. Then the service will get hundreds of requests with old ETags, and they go through the full service stack to build the same response for each, taking up threads and processing time. Part of that processing means going off to a database on a separate cloud, which introduces more latency and downtime potential.   We can use ASP.NET output caching with WCF to solve the repeated processing problem, but the server will still be thread-bound on incoming requests, and to get the current ETags reliably needs a database call per request. The accelerator solves that by running as a proxy - all client calls come into the proxy, and the proxy routes calls to the underlying REST service. We could use Node as a straight passthrough proxy and expect some benefit, as the server would be less thread-bound, but we would still have one WCF and one database call per proxy call. But add some smart caching logic to the proxy, and share ETags between Node and WCF (so the proxy doesn't even need to call the servcie to get the current ETag), and the underlying service will only be invoked when data has changed, and then only once - all subsequent client requests will be served from the proxy cache.   I've built this as a sample up on GitHub: NodeWcfAccelerator on sixeyed.codegallery. Here's how the architecture looks:     The code is very simple. The Node proxy runs on port 8010 and all client requests target the proxy. If the client request has an ETag header then the proxy looks up the ETag in the tag cache to see if it is current - the sample uses memcached to share ETags between .NET and Node. If the ETag from the client matches the current server tag, the proxy sends a 304 response with an empty body to the client, telling it to use its own cached version of the data. If the ETag from the client is stale, the proxy looks for a local cached version of the response, checking for a file named after the current ETag. If that file exists, its contents are returned to the client as the body in a 200 response, which includes the current ETag in the header. If the proxy does not have a local cached file for the service response, it calls the service, and writes the WCF response to the local cache file, and to the body of a 200 response for the client. So the WCF service is only troubled if both client and proxy have stale (or no) caches.   The only (vaguely) clever bit in the sample is using the ETag cache, so the proxy can serve cached requests without any communication with the underlying service, which it does completely generically, so the proxy has no notion of what it is serving or what the services it proxies are doing. The relative path from the URL is used as the lookup key, so there's no shared key-generation logic between .NET and Node, and when WCF stores a tag it also stores the "read" URL against the ETag so it can be used for a reverse lookup, e.g:   Key Value /WcfSampleService/PersonService.svc/rest/fetch/3 "28cd4796-76b8-451b-adfd-75cb50a50fa6" "28cd4796-76b8-451b-adfd-75cb50a50fa6" /WcfSampleService/PersonService.svc/rest/fetch/3    In Node we read the cache using the incoming URL path as the key and we know that "28cd4796-76b8-451b-adfd-75cb50a50fa6" is the current ETag; we look for a local cached response in /caches/28cd4796-76b8-451b-adfd-75cb50a50fa6.body (and the corresponding .header file which contains the original service response headers, so the proxy response is exactly the same as the underlying service). When the data is updated, we need to invalidate the ETag cache – which is why we need the reverse lookup in the cache. In the WCF update service, we don't need to know the URL of the related read service - we fetch the entity from the database, do a reverse lookup on the tag cache using the old ETag to get the read URL, update the new ETag against the URL, store the new reverse lookup and delete the old one.   Running Apache Bench against the two endpoints gives the headline performance comparison. Making 1000 requests with concurrency of 100, and not sending any ETag headers in the requests, with the Node proxy I get 102 requests handled per second, average response time of 975 milliseconds with 90% of responses served within 850 milliseconds; going direct to WCF with the same parameters, I get 53 requests handled per second, mean response time of 1853 milliseconds, with 90% of response served within 3260 milliseconds. Informally monitoring server usage during the tests, Node maxed at 20% CPU and 20Mb memory; IIS maxed at 60% CPU and 100Mb memory.   Note that the sample WCF service does a database read and sleeps for 250 milliseconds to simulate a moderate processing load, so this is *not* a baseline Node-vs-WCF comparison, but for similar scenarios where the  service call is expensive but applicable to numerous clients for a long timespan, the performance boost from the accelerator is considerable.     * - actually, the accelerator will work nicely for any HTTP request, where the URL (path + querystring) uniquely identifies a resource. In the sample, there is an assumption that the ETag is a GUID wrapped in double-quotes (e.g. "28cd4796-76b8-451b-adfd-75cb50a50fa6") – which is the default for WCF services. I use that assumption to name the cache files uniquely, but it is a trivial change to adapt to other ETag formats.

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  • Google Earth freezes during zoom-in on Intel processors with integrated graphics

    - by zigma80
    When I zoom in at a certain zoom level, Google Earth makes my system freeze completely so that I have to power off or reboot I use Kubuntu 12.04 and my laptop has an Intel(R)Core(TM)i3-2310M CPU @2.10GHz with HD3000 graphics. I installed intel-gpu-tools and tried to fix it with sudo intel_reg_write 0x2120 0x1206800 as explained [here][1], but that didn't work. I wonder if there any other solution out there...

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  • Netbook Review: HP Mini 5102

    Its specs sound generic -- Intel Atom CPU, 10.1-inch screen, 1GB of RAM, the usual -- but HP's top-of-the-line netbook is anything but. Can it justify a $415 price in a world of $300 to $350 netbooks?

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  • Netbook Review: HP Mini 5102

    Its specs sound generic -- Intel Atom CPU, 10.1-inch screen, 1GB of RAM, the usual -- but HP's top-of-the-line netbook is anything but. Can it justify a $415 price in a world of $300 to $350 netbooks?

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  • How to Work with the Network from the Linux Terminal: 11 Commands You Need to Know

    - by Chris Hoffman
    Whether you want to download files, diagnose network problems, manage your network interfaces, or view network statistics, there’s a terminal command for that. This collection contains the tried and true tools and a few newer commands. You can do most of this from a graphical desktop, although even Linux users that rarely use the terminal often launch one to use ping and other network diagnostic tools. Make Your Own Windows 8 Start Button with Zero Memory Usage Reader Request: How To Repair Blurry Photos HTG Explains: What Can You Find in an Email Header?

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  • ASP.NET MVC 2: Strongly Typed Html Helpers

    In this article, Scott examines the usage of Strongly Typed Html Helpers included with ASP.NET MVC 2. He begins with a short description of the existing HTML Helper method in ASP.NET MVC 1 and discusses the new methods, providing screenshots and a detailed listing of these new methods.

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  • Flash Analytics: The Tracking of the Flash Content

    The usage of flash player games has increased with the passage of time. In fact these days the flash games are available at the social networking web sites as well. The number of people playing these... [Author: Abel Nickson - Computers and Internet - April 05, 2010]

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  • OAuth 2.0 for Google Drive and the Adsense API

    OAuth 2.0 for Google Drive and the Adsense API Google engineers Nicolas Garnier, Ali Afshar, and Sergio Gomes discuss the OAuth 2.0 playground and how to use it with the Google Drive And AdSense APIs. OAuth 2.0 and its inner workings are explained in detail, and usage of the OAuth 2.0 playground in context of Google Drive and the AdSense API is demonstrated thoroughly. The sessions wraps up with some discussion of questions from live viewers. From: GoogleDevelopers Views: 9 0 ratings Time: 57:02 More in Science & Technology

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  • Core Parking in Ubuntu?

    - by Xxx Xxx
    Core parking is a new feature that introduced in Windows 7 to get better Battery performance . Depending on the resource use of the operating system it may park one or multiple cores of a multi-core cpu to reduce the computer’s power consumption and thermal emissions. Once operations require more processing power, the parked cores are activated again to assist in the tasks So my question is that is there any way i can do it on Ubuntu 12.04 " Core Parking " ?

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  • Let the RAM improves performance

    - by user1717079
    I have a low profile machine but with a lot of fast RAM, 4 Gb, which is really an amount of memory that i probably will never use, not even an half, since i just use this machine for coding and browsing the web. The HDD is really slow and so the overall performance are bad when booting, caching or starting new program, I'm wondering if Ubuntu can provide some setting or utility to solve this situation and let my system rely more on the RAM usage.

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  • A Perspective on Database Performance Tuning

    Fundamentally, database performance tuning is done for two basic reasons, to reduce response time and to reduce resource usage, both of which can apply for any given situation. Julian Stuhler looks at database performance tuning, and why it remains one of the most important topics for any DBA, developer or systems administrator.

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  • Laser Cutter Plays Portal Theme Song While Cutting Aperture Science Logo [Video]

    - by Jason Fitzpatrick
    We’re at a total loss to think of anything more geeky than a laser cutter programmed to simultaneously laser cut the Aperture Science logo while playing “Stile Alive” from Portal. If you’re unfamiliar with the original tune, check out this video. [via Boing Boing] The HTG Guide to Hiding Your Data in a TrueCrypt Hidden Volume Make Your Own Windows 8 Start Button with Zero Memory Usage Reader Request: How To Repair Blurry Photos

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  • Measure load of ubuntu server

    - by user84471
    I have Ubuntu server and apache2 installed on it. I want to benchmark it using ab tool from another machine. I want to know how measure load of this program. In top is showing this: top - 06:02:19 up 3 min, 2 users, load average: 0.28, 0.26, 0.12 Tasks: 94 total, 2 running, 92 sleeping, 0 stopped, 0 zombie Cpu(s): 67.2%us, 5.5%sy, 0.0%ni, 26.3%id, 0.5%wa, 0.0%hi, 0.5%si, 0.0%st Mem: 499320k total, 342028k used, 157292k free, 42504k buffers Swap: 514044k total, 0k used, 514044k free, 71388k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1521 www-data 20 0 49180 22m 4144 S 23 4.6 0:00.68 apache2 1520 www-data 20 0 49180 22m 4152 S 22 4.6 0:00.66 apache2 1124 www-data 20 0 49180 22m 4152 S 22 4.6 0:00.70 apache2 1519 www-data 20 0 49180 22m 4152 S 20 4.6 0:00.70 apache2 1525 www-data 20 0 49180 22m 4144 S 16 4.6 0:00.47 apache2 1123 www-data 20 0 49168 22m 4152 S 9 4.6 0:00.78 apache2 1125 www-data 20 0 49168 22m 4152 S 9 4.6 0:00.77 apache2 1126 www-data 20 0 49168 22m 4152 S 9 4.6 0:00.73 apache2 1127 www-data 20 0 49168 22m 4152 S 9 4.6 0:00.74 apache2 1523 www-data 20 0 42896 14m 3388 R 5 3.1 0:00.14 apache2 1038 whoopsie 20 0 24476 3720 2856 S 0 0.7 0:00.01 whoopsie 1089 root 20 0 34060 6988 3640 S 0 1.4 0:00.05 apache2 1338 ubuntu 20 0 2832 1192 944 S 0 0.2 0:00.30 top 1417 ubuntu 20 0 9652 1456 824 S 0 0.3 0:00.02 sshd 1 root 20 0 3540 1876 1248 S 0 0.4 0:00.83 init 2 root 20 0 0 0 0 S 0 0.0 0:00.00 kthreadd 3 root 20 0 0 0 0 S 0 0.0 0:00.03 ksoftirqd/0 4 root 20 0 0 0 0 S 0 0.0 0:00.00 kworker/0:0 5 root 20 0 0 0 0 S 0 0.0 0:00.48 kworker/u:0 6 root RT 0 0 0 0 S 0 0.0 0:00.00 migration/0 7 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/0 8 root RT 0 0 0 0 S 0 0.0 0:00.00 migration/1 9 root 20 0 0 0 0 S 0 0.0 0:00.00 kworker/1:0 10 root 20 0 0 0 0 S 0 0.0 0:00.01 ksoftirqd/1 11 root 20 0 0 0 0 S 0 0.0 0:00.17 kworker/0:1 12 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/1 13 root 0 -20 0 0 0 S 0 0.0 0:00.00 cpuset 14 root 0 -20 0 0 0 S 0 0.0 0:00.00 khelper 15 root 20 0 0 0 0 S 0 0.0 0:00.00 kdevtmpfs 16 root 0 -20 0 0 0 S 0 0.0 0:00.00 netns 17 root 20 0 0 0 0 S 0 0.0 0:00.32 kworker/u:1 18 root 20 0 0 0 0 S 0 0.0 0:00.00 sync_supers 19 root 20 0 0 0 0 S 0 0.0 0:00.00 bdi-default 20 root 0 -20 0 0 0 S 0 0.0 0:00.00 kintegrityd 21 root 0 -20 0 0 0 S 0 0.0 0:00.00 kblockd 22 root 0 -20 0 0 0 S 0 0.0 0:00.00 ata_sff 23 root 20 0 0 0 0 S 0 0.0 0:00.00 khubd So its difficult to do it without any script or program. How can I do this?

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  • Using CTAS & Exchange Partition Replace IAS for Copying Partition on Exadata

    - by Bandari Huang
    Usage Scenario: Copy data&index from one partition to another partition in a partitioned table. Solution: Create a partition definition Copy data from one partition to another partiton by 'Insert as select (IAS)' Create a nonpartitioned table by 'Create table as select (CTAS)' Convert a nonpartitioned table into a partition of partitoned table by exchangng their data segments. Rebuild unusable index Exchange Partition Convertion Mutual convertion between a partition (or subpartition) and a nonpartitioned table Mutual convertion between a hash-partitioned table and a partition of a composite *-hash partitioned table Mutual convertiton a [range | list]-partitioned table into a partition of a composite *-[range | list] partitioned table. Exchange Partition Usage Scenario High-speed data loading of new, incremental data into an existing partitioned table in DW environment Exchanging old data partitions out of a partitioned table, the data is purged from the partitioned table without actually being deleted and can be archived separately Exchange Partition Syntax ALTER TABLE schema.table EXCHANGE [PARTITION|SUBPARTITION] [partition|subprtition] WITH TABLE schema.table [INCLUDE|EXCLUDING] INDEX [WITH|WITHOUT] VALIDATION UPDATE [INDEXES|GLOBAL INDEXES] INCLUDING | EXCLUDING INDEXES Specify INCLUDING INDEXES if you want local index partitions or subpartitions to be exchanged with the corresponding table index (for a nonpartitioned table) or local indexes (for a hash-partitioned table). Specify EXCLUDING INDEXES if you want all index partitions or subpartitions corresponding to the partition and all the regular indexes and index partitions on the exchanged table to be marked UNUSABLE. If you omit this clause, then the default is EXCLUDING INDEXES. WITH | WITHOUT VALIDATION Specify WITH VALIDATION if you want Oracle Database to return an error if any rows in the exchanged table do not map into partitions or subpartitions being exchanged. Specify WITHOUT VALIDATION if you do not want Oracle Database to check the proper mapping of rows in the exchanged table. If you omit this clause, then the default is WITH VALIDATION.  UPADATE INDEX|GLOBAL INDEX Unless you specify UPDATE INDEXES, the database marks UNUSABLE the global indexes or all global index partitions on the table whose partition is being exchanged. Global indexes or global index partitions on the table being exchanged remain invalidated. (You cannot use UPDATE INDEXES for index-organized tables. Use UPDATE GLOBAL INDEXES instead.) Exchanging Partitions&Subpartitions Notes Both tables involved in the exchange must have the same primary key, and no validated foreign keys can be referencing either of the tables unless the referenced table is empty.  When exchanging partitioned index-organized tables: – The source and target table or partition must have their primary key set on the same columns, in the same order. – If key compression is enabled, then it must be enabled for both the source and the target, and with the same prefix length. – Both the source and target must be index organized. – Both the source and target must have overflow segments, or neither can have overflow segments. Also, both the source and target must have mapping tables, or neither can have a mapping table. – Both the source and target must have identical storage attributes for any LOB columns. 

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  • A Perspective on Database Performance Tuning

    Fundamentally, database performance tuning is done for two basic reasons, to reduce response time and to reduce resource usage, both of which can apply for any given situation. Julian Stuhler looks at database performance tuning, and why it remains one of the most important topics for any DBA, developer or systems administrator.

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  • La Release Candidate de Flash 10.1 devrait annoncer l'arrivée imminente de la version définitive

    Mise à jour du 08/04/10 La RC de Flash 10.1 Annonce l'arrivée imminente de la version définitive Adobe vient de mettre en ligne la RC (Release Candidate) de Flash Player 10.1. Pour mémoire, la future version de Flash introduit l'accélération matériel (en d'autres termes l'utilisation de la carte graphique et non plus du CPU) dans la technologie. Autre nouveauté, le support du format viéo H.264, le seul qui pourra bénéficier de l'accélération matérielle. La liste des cartes supportées est disponibles ici (pdf). Autre b...

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