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  • Root cause for high CPU usage; which measurement to trust more: Windows Task Manager or Process Explorer?

    - by p.campbell
    Consider this Windows 8.1 machine (in-place upgrade from Windows 8) with differing reports on its CPU usage. The machine is idle, and has been for 3 days. There are no CPU intensive tasks running currently nor over the 3 day idle period. Windows Task Manager is reporting CPU usage constantly at an incredibly high value (and increasing over time!) at around 75%. Process Explorer from SysInternals reports that the CPU usage is much different at around 42% How does Process Explorer report 42.14% usage, but its columns report Idle at 57%, with the sum of the other processes not even approaching 10%? Which of these two values should I trust more, and why should it be trusted over the other measurement? How can I actually determine which process is causing Task Manager to report its values? These Proc Exp metrics were taken with Administrator privileges, and with option 'Show Details for All Processes' Click for larger view:

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  • New Whitepaper - Exalogic Virtualization Architecture

    - by Javier Puerta
    One of the key enhancements in the current generation of Oracle Exalogic systems—and the focus of this whitepaper—is Oracle’s incorporation of virtualized InfiniBand I/O interconnects using Single Root I/O Virtualization (SR-IOV) technology to permit the system to share the internal InfiniBand network and storage fabric between as many as 63 virtual machines per physical server node with near-native performance simultaneously allowing both high performance and high workload consolidation. Download it here: An Oracle White Paper - November 2012- Oracle Exalogic Elastic Cloud: Advanced I/O Virtualization Architecture for Consolidating High-Performance Workloads

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  • ?Oracle Database 12c????ASM Scrubbing Disk Groups

    - by Liu Maclean(???)
    ?12.1?Oracle ASM??????????????????? ??Scrubbing Disk Groups, Disk Scrubbing???????????,?????Normal ??High Redundancy?disk group?????? Scrubbing ?????????????????Disk Scrubbing???disk group rebalancing???????I/O?????Disk Scrubbing??????I/O????? ?????????Scrubbing????,?????,????????????,?????ALTER DISKGROUP?????????: SQL> ALTER DISKGROUP data SCRUB POWER LOW; SQL> ALTER DISKGROUP data SCRUB FILE '+DATA/ORCL/ASKMACLEAN/example.266.806582193' REPAIR POWER HIGH FORCE; SQL> ALTER DISKGROUP data SCRUB DISK DATA_0005 REPAIR POWER HIGH FORCE; ?????SCRUB ?: ??REPAIR??????????,?????REPAIR,?SCRUB???????????????? ??POWER?????AUTO LOW HIGH ??MAX? ?POWER???,???AUTO????? ??WAIT ???????scrubbing ?????????WAIT???,?scrubbing??????scrubbing queue ??,??????? ?FORCE?????,?????I/O????????????????scrubbing ,????????

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  • Formatting data from management database

    - by bVector
    I've got some data that goes like this: Config_Name Question Answer Cisco WAN Sensitivity: High Cisco WAN Authorized Users: Brent, Charles Cisco WAN Last Audited: n/a Cisco WAN Next Audit: 3/30/2012 Cisco WAN Audit Signature: Cisco WAN Username: MYCOMPANY Cisco WAN Password: Cisco WAN Encrypted-A ENCRYPTED DATA Cisco WAN Encrypted-B Cisco WAN Encrypted-C vCenter server Sensitivity: High vCenter server Authorized Users: Brent, Charles vCenter server Last Audited: vCenter server Next Audit: 3/30/2012 vCenter server Audit Signature: ENCRYPTED DATA vCenter server Username: administrator vCenter server Password: vCenter server Encrypted-A ENCRYPTED DATA vCenter server Encrypted-B vCenter server Encrypted-C AKSC-NE01 IPMI Sensitivity: High AKSC-NE01 IPMI Authorized Users: Brent, Charles AKSC-NE01 IPMI Last Audited: AKSC-NE01 IPMI Next Audit: 3/30/2012 AKSC-NE01 IPMI Audit Signature: ENCRYPTED DATA AKSC-NE01 IPMI Username: MYCOMPANY AKSC-NE01 IPMI Password: AKSC-NE01 IPMI Encrypted-A ENCRYPTED DATA AKSC-NE01 IPMI Encrypted-B AKSC-NE01 IPMI Encrypted-C and I need it to be in this format: Config_Name Sensitivity: Authorized Users: Last Audited: Next Audit: Audit Signature: Username: Password: Encrypted-A Encrypted-B Encrypted-C AKSC-NE01 IPMI High Brent, Charles 3/30/2012 ENCRYPTED DATA MYCOMPANY ENCRYPTED DATA Cisco ASA5505 WAN High Brent, Charles n/a 3/30/2012 ENCRYPTED DATA MYCOMPANY ENCRYPTED DATA vCenter server High Brent, Charles 3/30/2012 ENCRYPTED DATA administrator ENCRYPTED DATA the tabs get messed up on here but hopefully you get my drift. does anyone know an easy way to do this? I haven't found one with excel just yet.

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  • Dual Xeon Server voltages are low

    - by Mindflux
    I've got a whitebox server running CentOS 5.7. It's a Dual Xeon 5620, 24GB of RAM. The mainboard is a SuperMicro X8DT6-F and the chassis is a SC825TQ-R720LPB. Dual 720W Power supplies. We had a big power outage a couple weeks back that took down everything, I don't have any pre-power outage figures for this server, and the only reason I noticed these is because when I was bringing up the servers I was checking them out with more scrutiny than usual. http://i.imgur.com/rSjiw.png (Image of voltage readings) As you can see, CPU1 DIMM is low, +3.3V is high, 3.3VSB is high, +5v is high, +12v is REAL LOW (out of normal 5% (plus/minus))... and VBAT is off the charts. With my whitebox VAR we've tried the following: Swap out PSU with another server I have with the same PSUs. Try different power cord Update BMC/IPMI firmware in case readings were wrong (They aren't) Update BIOS Try different PDU Try a different outlet and/or circuit Replaced Voltage Regulator Unit At this point, the only thing we haven't done, seemingly is replace the mainboard.. which is what the next step will be unless something else shines some light on the situation. I should mention the system is rock solid otherwise which is a surprise given the 12v voltage is that far off.

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  • What is Best storage servers infrastructure ? DAS/NAS/SAN or installing GlusterFS/LUSTER/HDFS/RBDB

    - by TORr0t
    I am trying to design an infrastucture for the project I am working on. It would be somehow a file-sharing/downloading project (like rapidshare) and I would need high storage sizes and good scability, and I would add new storage nodes after my project grows up. I have come up with 3 solutions for my project which are using Luster, GlusterFS, HDFS, RDBD. For start, i would have 2 servers, one server is for glusterfs client + webserver + db server+ a streaming server, and the other server is gluster storage node. (After sometime, i would be adding more node servers, and client servers (dont know how many new client new servers to add, will see later) So, i am thinking to work with glusterfs. But i really wonder that if i have to use high performance servers with high sotrage sizes or avarage/slow servers with high storage sizes? Or nas/das/san solutions are better for glusterfs storage nodes? I might buy a nas and install glusterfs onto it. I would be happy to listen to your recommendations for the server properties (for each clients and nodes) . I really dont know if I really need high amount of ram and good cpus to for the nodes. I am sure i need it for client servers. The files would be streamed as well, so the Automatic file replication is important, thus, my system should work like a cloud, when needed, according to high traffic, the storage nodes should copy the most demanded file to be streamed and would help me to get rid of scability problems and my visitors would able to stream/download those files. Also, i am open to your experiences/thoughts about any good solution. Luster, hdfs, rbdb are the other options and i would be happy to listen to your thoughts here. I would be very very happy to hear back from anyone commented of any words I have used here. Thanks

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  • Constant crashes in windows 7 64bit when playing games

    - by yx
    I've tried everything I can possibly think of in trying to fix this problem and I'm totally out of ideas, so any help would be appreciated: The problem: whenever I fire up a game, it works for a short while with no problems and then it would crash. Either its a hard crash, forcing me to reboot, or windows would report that the display driver has stopped working and recovered. Here is a list of things I've already tried: Drivers - tried the latest drivers (catalyst 9.12) as well as the stock drivers that came with the video card. Also have the latest BIOS/chipset Memtest - Ran Memtest86+ overnight, had no problems, the windows diagnostic tool also does not find any problems. Overheating - Video card/cpu temperatures are well below peak (42 and 31 Celsius receptively) PSU Voltage - CPUID shows that the voltage levels are all above what they should be. The PSU itself is only roughly 16 months old and is a good model. HDD - No errors when checked GPU - Brand new (replaced previous card since I thought it was the problem, apparently not) Overclocking - Everything is at stock levels, memory voltage is set to manufacturer's standard Specs: Motherboard: ASUS P5Q Pro CPU: Core 2 Duo E8400 3.0 ghz OS: Windows 7 home premium 64 bit Memory: Mushkin Enhanced 4GB DDR2 GPU: Sapphire HD 5850 1GB PSU: SeaSonic M12 600W ATX12V DirectX: DX11 Event Viewer after a crash always has these logged: A fatal hardware error has occurred. Reported by component: Processor Core Error Source: Machine Check Exception Error Type: Bus/Interconnect Error Processor ID: 1 The details view of this entry contains further information. A fatal hardware error has occurred. Reported by component: Processor Core Error Source: Machine Check Exception Error Type: Bus/Interconnect Error Processor ID: 0 The details view of this entry contains further information. A previous card that I had (4850x2) also had these errors, so I changed video cards, but the same thing is happening.

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  • Simple electric DC question. Currency consumption

    - by Bobb
    Suppose you have DC power supply and a consumer connected to it (i.e. computer PSU and a hard drive). Suppose PSU which was supplied with the consumer has output 5V 1A. So I assume that the consumer should not consume more than 1A. Suppose the original PSU is broken now and I want to replace it with the one I have which is 5V 10A. My guess is that current is something which depends on the consumer. So if the consumer consumes normally 1A then it will not consume more than that even if it is connected to 10A PSU. In other word - am I right assuming that the consumer will not burn out being connected to a power supply with higher current output? P.S. my understanding is that voltage is something independent from the consumer. If you give it higher voltage it will burn (voltage is from PSU to the consumer). However current must be in opposite - consumer sucks as much current as it need not as much as PSU can provide (of course given that max PSU current is greater than the consumer needs)

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  • Simple electric DC question. Current consumption

    - by Bobb
    Suppose you have DC power supply and a consumer connected to it (i.e. computer PSU and a hard drive). Suppose PSU which was supplied with the consumer has output 5V 1A. So I assume that the consumer should not consume more than 1A. Suppose the original PSU is broken now and I want to replace it with the one I have which is 5V 10A. My guess is that current is something which depends on the consumer. So if the consumer consumes normally 1A then it will not consume more than that even if it is connected to 10A PSU. In other word - am I right assuming that the consumer will not burn out being connected to a power supply with higher current output? P.S. my understanding is that voltage is something independent from the consumer. If you give it higher voltage it will burn (voltage is from PSU to the consumer). However current must be in opposite - consumer sucks as much current as it need not as much as PSU can provide (of course given that max PSU current is greater than the consumer needs)

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  • Constant crashes in windows 7 64bit when playing games

    - by yx.
    I've tried everything I can possibly think of in trying to fix this problem and I'm totally out of ideas, so any help would be appreciated: The problem: whenever I fire up a game, it works for a short while with no problems and then it would crash. Either its a hard crash, forcing me to reboot, or windows would report that the display driver has stopped working and recovered. Here is a list of things I've already tried: Drivers - tried the latest drivers (catalyst 9.12) as well as the stock drivers that came with the video card. Also have the latest BIOS/chipset Memtest - Ran Memtest86+ overnight, had no problems, the windows diagnostic tool also does not find any problems. Overheating - Video card/cpu temperatures are well below peak (42 and 31 Celsius receptively) PSU Voltage - CPUID shows that the voltage levels are all above what they should be. The PSU itself is only roughly 16 months old and is a good model. HDD - No errors when checked GPU - Brand new (replaced previous card since I thought it was the problem, apparently not) Overclocking - Everything is at stock levels, memory voltage is set to manufacturer's standard Specs: Motherboard: ASUS P5Q Pro CPU: Core 2 Duo E8400 3.0 ghz OS: Windows 7 home premium 64 bit Memory: Mushkin Enhanced 4GB DDR2 GPU: Sapphire HD 5850 1GB PSU: SeaSonic M12 600W ATX12V DirectX: DX11 Event Viewer after a crash always has these logged: A fatal hardware error has occurred. Reported by component: Processor Core Error Source: Machine Check Exception Error Type: Bus/Interconnect Error Processor ID: 1 The details view of this entry contains further information. A fatal hardware error has occurred. Reported by component: Processor Core Error Source: Machine Check Exception Error Type: Bus/Interconnect Error Processor ID: 0 The details view of this entry contains further information. A previous card that I had (4850x2) also had these errors, so I changed video cards, but the same thing is happening.

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  • Very high CPU and low RAM usage - is it possible to place some of swap some of the CPU usage to the RAM (with CloudLinux LVE Manager installed)?

    - by Chriswede
    I had to install CloudLinux so that I could somewhat controle the CPU ussage and more importantly the Concurrent-Connections the Websites use. But as you can see the Server load is way to high and thats why some sites take up to 10 sec. to load! Server load 22.46 (8 CPUs) (!) Memory Used 36.32% (2,959,188 of 8,146,632) (ok) Swap Used 0.01% (132 of 2,104,504) (ok) Server: 8 x Intel(R) Xeon(R) CPU E31230 @ 3.20GHz Memory: 8143680k/9437184k available (2621k kernel code, 234872k reserved, 1403k data, 244k init) Linux Yesterday: Total of 214,514 Page-views (Awstat) Now my question: Can I shift some of the CPU usage to the RAM? Or what else could I do to make the sites run faster (websites are dynamic - so SQL heavy) Thanks top - 06:10:14 up 29 days, 20:37, 1 user, load average: 11.16, 13.19, 12.81 Tasks: 526 total, 1 running, 524 sleeping, 0 stopped, 1 zombie Cpu(s): 42.9%us, 21.4%sy, 0.0%ni, 33.7%id, 1.9%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 8146632k total, 7427632k used, 719000k free, 131020k buffers Swap: 2104504k total, 132k used, 2104372k free, 4506644k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 318421 mysql 15 0 1315m 754m 4964 S 474.9 9.5 95300:17 mysqld 6928 root 10 -5 0 0 0 S 2.0 0.0 90:42.85 kondemand/3 476047 headus 17 0 172m 19m 10m S 1.7 0.2 0:00.05 php 476055 headus 18 0 172m 18m 9.9m S 1.7 0.2 0:00.05 php 476056 headus 15 0 172m 19m 10m S 1.7 0.2 0:00.05 php 476061 headus 18 0 172m 19m 10m S 1.7 0.2 0:00.05 php 6930 root 10 -5 0 0 0 S 1.3 0.0 161:48.12 kondemand/5 6931 root 10 -5 0 0 0 S 1.3 0.0 193:11.74 kondemand/6 476049 headus 17 0 172m 19m 10m S 1.3 0.2 0:00.04 php 476050 headus 15 0 172m 18m 9.9m S 1.3 0.2 0:00.04 php 476057 headus 17 0 172m 18m 9.9m S 1.3 0.2 0:00.04 php 6926 root 10 -5 0 0 0 S 1.0 0.0 90:13.88 kondemand/1 6932 root 10 -5 0 0 0 S 1.0 0.0 247:47.50 kondemand/7 476064 worldof 18 0 172m 19m 10m S 1.0 0.2 0:00.03 php 6927 root 10 -5 0 0 0 S 0.7 0.0 93:52.80 kondemand/2 6929 root 10 -5 0 0 0 S 0.3 0.0 161:54.38 kondemand/4 8459 root 15 0 103m 5576 1268 S 0.3 0.1 54:45.39 lvest

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  • Real-time Java graph / chart library?

    - by Joonas Pulakka
    There was an earlier thread on Java graph or chart library, where JFreeChart was found to be quite good, but, as stated in its FAQ, it's not meant for real-time rendering. Can anyone recommend a comparable library that supports real-time rendering? Just some basic xy-rendering - for instance, getting a voltage signal from data acquisition system and plotting it as it comes (time on x-axis, voltage on y-axis).

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  • adding a div with data()

    - by Dizzy Bryan High
    Hi people am generating a list of flash swfs, the information comes from an ajax call which returns a json object which i loop through to create the rows of data using my makeAppRow function. makeAppRow = function(myData){ var myStr = '<div class="fileEntry">' myStr = myStr +'<div class="appDate">'+dateFormat(myData.date_swf, "dS mmmm, yyyy, h:MM TT")+'</div>' myStr = myStr +'<div class="appName">'+myData.name_swf+'</div>' myStr = myStr +'<div class="appOptions" data>' myStr = myStr +'<div class="gotoAppBtn" data-options="'+myData+'">Open App</div>' myStr = myStr +'</div>' myStr = myStr +'</div>' $('#appData').append(myStr); } I need the json data to be attached to the gotoAppBtn so that when its clicked i can read in the data from the attached json object and use it in my click function, as you can see ive been trying to embed the data using the html5 data but i cant get it to work. <div class="gotoAppBtn" data-options="'+myData+'">Open App</div> i have a function so that when the button is clicked it loads in an swf. $('.gotoAppBtn').live('click', function(){ //alert('button clicked') var myData = $(this).data("options") alert('../userfiles/'+myData.id_ugp+'/'+myData.id_swf+'/'+myData.launchfile_swf+'') console.log(myData); var flashvars = {}; var params = {}; params.menu = "false"; params.quality = "best"; params.scale = "noscale"; var attributes = {}; attributes.id = "flashAppDisplay"; attributes.name = "flashAppDisplay"; swfobject.embedSWF( '../userfiles/'+myData.id_ugp+'/'+myData.id_swf+'/'+myData.launchfile_swf+'', 'flashAppDisplay', myData.width_swf, myData.height_swf, myData.version_swf ,"../FAVideo/expressInstall.swf", flashvars, params, attributes) }); but the data does not seem to be there, any pointers on where i am going wrong, or a better way to achive this???

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  • Difficulty analyzing text from a file

    - by Nikko
    I'm running into a rather amusing error with my output on this lab and I was wondering if any of you might be able to hint at where my problem lies. The goal is find the high, low, average, sum of the record, and output original record. I started with a rather basic program to solve for one record and when I achieved this I expanded the program to work with the entire text file. Initially the program would correctly output: 346 130 982 90 656 117 595 High# Low# Sum# Average# When I expanded it to work for the entire record my output stopped working how I had wanted it to. 0 0 0 0 0 0 0 High: 0 Low: 0 Sum: 0 Average: 0 0 0 0 0 0 0 0 High: 0 Low: 0 Sum: 0 Average: 0 etc... I cant quite figure out why my ifstream just completely stopped bothering to input the values from file. I'll go take a walk and take another crack at it. If that doesn't work I'll be back here to check for any responses =) Thank you! #include <iostream> #include <fstream> #include <iomanip> #include <string> using namespace std; int main() { int num; int high = 0; int low = 1000; double average = 0; double sum = 0; int numcount = 0; int lines = 1; char endoline; ifstream inData; ofstream outData; inData.open("c:\\Users\\Nikko\\Desktop\\record5ain.txt"); outData.open("c:\\Users\\Nikko\\Desktop\\record5aout.txt"); if(!inData) //Reminds me to change path names when working on different computers. { cout << "Could not open file, program will exit" << endl; exit(1); } while(inData.get(endoline)) { if(endoline == '\n') lines++; } for(int A = 0; A < lines; A++) { for(int B = 0; B < 7; B++) { while(inData >> num) inData >> num; numcount++; sum += num; if(num < low) low = num; if(num > high) high = num; average = sum / numcount; outData << num << '\t'; } outData << "High: " << high << " " << "Low: " << low << " " << "Sum: " << sum << " " << "Average: " << average << endl; } inData.close(); outData.close(); return(0); }

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  • Cloud Computing = Elasticity * Availability

    - by Herve Roggero
    What is cloud computing? Is hosting the same thing as cloud computing? Are you running a cloud if you already use virtual machines? What is the difference between Infrastructure as a Service (IaaS) and a cloud provider? And the list goes on… these questions keep coming up and all try to fundamentally explain what “cloud” means relative to other concepts. At the risk of over simplification, answering these questions becomes simpler once you understand the primary foundations of cloud computing: Elasticity and Availability.   Elasticity The basic value proposition of cloud computing is to pay as you go, and to pay for what you use. This implies that an application can expand and contract on demand, across all its tiers (presentation layer, services, database, security…).  This also implies that application components can grow independently from each other. So if you need more storage for your database, you should be able to grow that tier without affecting, reconfiguring or changing the other tiers. Basically, cloud applications behave like a sponge; when you add water to a sponge, it grows in size; in the application world, the more customers you add, the more it grows. Pure IaaS providers will provide certain benefits, specifically in terms of operating costs, but an IaaS provider will not help you in making your applications elastic; neither will Virtual Machines. The smallest elasticity unit of an IaaS provider and a Virtual Machine environment is a server (physical or virtual). While adding servers in a datacenter helps in achieving scale, it is hardly enough. The application has yet to use this hardware.  If the process of adding computing resources is not transparent to the application, the application is not elastic.   As you can see from the above description, designing for the cloud is not about more servers; it is about designing an application for elasticity regardless of the underlying server farm.   Availability The fact of the matter is that making applications highly available is hard. It requires highly specialized tools and trained staff. On top of it, it's expensive. Many companies are required to run multiple data centers due to high availability requirements. In some organizations, some data centers are simply on standby, waiting to be used in a case of a failover. Other organizations are able to achieve a certain level of success with active/active data centers, in which all available data centers serve incoming user requests. While achieving high availability for services is relatively simple, establishing a highly available database farm is far more complex. In fact it is so complex that many companies establish yearly tests to validate failover procedures.   To a certain degree certain IaaS provides can assist with complex disaster recovery planning and setting up data centers that can achieve successful failover. However the burden is still on the corporation to manage and maintain such an environment, including regular hardware and software upgrades. Cloud computing on the other hand removes most of the disaster recovery requirements by hiding many of the underlying complexities.   Cloud Providers A cloud provider is an infrastructure provider offering additional tools to achieve application elasticity and availability that are not usually available on-premise. For example Microsoft Azure provides a simple configuration screen that makes it possible to run 1 or 100 web sites by clicking a button or two on a screen (simplifying provisioning), and soon SQL Azure will offer Data Federation to allow database sharding (which allows you to scale the database tier seamlessly and automatically). Other cloud providers offer certain features that are not available on-premise as well, such as the Amazon SC3 (Simple Storage Service) which gives you virtually unlimited storage capabilities for simple data stores, which is somewhat equivalent to the Microsoft Azure Table offering (offering a server-independent data storage model). Unlike IaaS providers, cloud providers give you the necessary tools to adopt elasticity as part of your application architecture.    Some cloud providers offer built-in high availability that get you out of the business of configuring clustered solutions, or running multiple data centers. Some cloud providers will give you more control (which puts some of that burden back on the customers' shoulder) and others will tend to make high availability totally transparent. For example, SQL Azure provides high availability automatically which would be very difficult to achieve (and very costly) on premise.   Keep in mind that each cloud provider has its strengths and weaknesses; some are better at achieving transparent scalability and server independence than others.    Not for Everyone Note however that it is up to you to leverage the elasticity capabilities of a cloud provider, as discussed previously; if you build a website that does not need to scale, for which elasticity is not important, then you can use a traditional host provider unless you also need high availability. Leveraging the technologies of cloud providers can be difficult and can become a journey for companies that build their solutions in a scale up fashion. Cloud computing promises to address cost containment and scalability of applications with built-in high availability. If your application does not need to scale or you do not need high availability, then cloud computing may not be for you. In fact, you may pay a premium to run your applications with cloud providers due to the underlying technologies built specifically for scalability and availability requirements. And as such, the cloud is not for everyone.   Consistent Customer Experience, Predictable Cost With all its complexities, buzz and foggy definition, cloud computing boils down to a simple objective: consistent customer experience at a predictable cost.  The objective of a cloud solution is to provide the same user experience to your last customer than the first, while keeping your operating costs directly proportional to the number of customers you have. Making your applications elastic and highly available across all its tiers, with as much automation as possible, achieves the first objective of a consistent customer experience. And the ability to expand and contract the infrastructure footprint of your application dynamically achieves the cost containment objectives.     Herve Roggero is a SQL Azure MVP and co-author of Pro SQL Azure (APress).  He is the co-founder of Blue Syntax Consulting (www.bluesyntax.net), a company focusing on cloud computing technologies helping customers understand and adopt cloud computing technologies. For more information contact herve at hroggero @ bluesyntax.net .

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  • Expectations + Rewards = Innovation

    - by D'Arcy Lussier
    “Innovation” is a heavy word. We regard those that embrace it as “Innovators”. We describe organizations as being “Innovative”. We hold those associated with the word in high regard, even though its dictionary definition is very simple: Introducing something new. What our culture has done is wrapped Innovation in white robes and a gold crown. Innovation is rarely just introducing something new. Innovations and innovators are typically associated with other terms: groundbreaking, genius, industry-changing, creative, leading. Being a true innovator and creating innovations are a big deal, and something companies try to strive for…or at least say they strive for. There’s huge value in being recognized as an innovator in an industry, since the idea is that innovation equates to increased profitability. IBM ran an ad a few years back that showed what their view of innovation is: “The point of innovation is to make actual money.” If the money aspect makes you feel uneasy, consider it another way: the point of innovation is to <insert payoff here>. Companies that innovate will be more successful. Non-profits that innovate can better serve their target clients. Governments that innovate can better provide services to their citizens. True innovation is not easy to come by though. As with anything in business, how well an organization will innovate is reliant on the employees it retains, the expectations placed on those employees, and the rewards available to them. In a previous blog post I talked about one formula: Right Employees + Happy Employees = Productive Employees I want to introduce a new one, that builds upon the previous one: Expectations + Rewards = Innovation  The level of innovation your organization will realize is directly associated with the expectations you place on your staff and the rewards you make available to them. Expectations We may feel uncomfortable with the idea of placing expectations on our staff, mainly because expectation has somewhat of a negative or cold connotation to it: “I expect you to act this way or else!” The problem is in the or-else part…we focus on the negative aspects of failing to meet expectations instead of looking at the positive side. “I expect you to act this way because it will produce <insert benefit here>”. Expectations should not be set to punish but instead be set to ensure quality. At a recent conference I spoke with some Microsoft employees who told me that you have five years from starting with the company to reach a “Senior” level. If you don’t, then you’re let go. The expectation Microsoft placed on their staff is that they should be working towards improving themselves, taking more responsibility, and thus ensure that there is a constant level of quality in the workforce. Rewards Let me be clear: a paycheck is not a reward. A paycheck is simply the employer’s responsibility in the employee/employer relationship. A paycheck will never be the key motivator to drive innovation. Offering employees something over and above their required compensation can spur them to greater performance and achievement. Working in the food service industry, this tactic was used again and again: whoever has the highest sales over lunch will receive a free lunch/gift certificate/entry into a draw/etc. There was something to strive for, to try beyond the baseline of what our serving jobs were. It was through this that innovative sales techniques would be tried and honed, with key servers being top sellers time and time again. At a code camp I spoke at, I was amazed to see that all the employees from one company receive $100 Visa gift cards as a thank you for taking time to speak. Again, offering something over and above that can give that extra push for employees. Rewards work. But what about the fairness angle? In the restaurant example I gave, there were servers that would never win the competition. They just weren’t good enough at selling and never seemed to get better. So should those that did work at performing better and produce more sales for the restaurant not get rewarded because those who weren’t working at performing better might get upset? Of course not! Organizations succeed because of their top performers and those that strive to join their ranks. The Expectation/Reward Graph While the Expectations + Rewards = Innovation formula may seem like a simple mathematics formula, there’s much more going under the hood. In fact there are three different outcomes that could occur based on what you put in as values for Expectations and Rewards. Consider the graph below and the descriptions that follow: Disgruntled – High Expectation, Low Reward I worked at a company where the mantra was “Company First, Because We Pay You”. Even today I still hear stories of how this sentiment continues to be perpetuated: They provide you a paycheck and a means to live, therefore you should always put them as your top priority. Of course, this is a huge imbalance in the expectation/reward equation. Why would anyone willingly meet high expectations of availability, workload, deadlines, etc. when there is no reward other than a paycheck to show for it? Remember: paychecks are not rewards! Instead, you see employees be disgruntled which not only affects the level of production but also the level of quality within an organization. It also means that you see higher turnover. Complacent – Low Expectation, Low Reward Complacency is a systemic problem that typically exists throughout all levels of an organization. With no real expectations or rewards, nobody needs to excel. In fact, those that do try to innovate, improve, or introduce new things into the organization might be shunned or pushed out by the rest of the staff who are just doing things the same way they’ve always done it. The bigger issue for the organization with low/low values is that at best they’ll never grow beyond their current size (and may shrink actually), and at worst will cease to exist. Entitled – Low Expectation, High Reward It’s one thing to say you have the best people and reward them as such, but its another thing to actually have the best people and reward them as such. Organizations with Entitled employees are the former: their organization provides them with all types of comforts, benefits, and perks. But there’s no requirement before the rewards are dolled out, and there’s no short-list of who receives the rewards. Everyone in the company is treated the same and is given equal share of the spoils. Entitlement is actually almost identical with Complacency with one notable difference: just try to introduce higher expectations into an entitled organization! Entitled employees have been spoiled for so long that they can’t fathom having rewards taken from them, or having to achieve specific levels of performance before attaining them. Those running the organization also buy in to the Entitled sentiment, feeling that they must persist the same level of comforts to appease their staff…even though the quality of the employee pool may be suspect. Innovative – High Expectation, High Reward Finally we have the Innovative organization which places high expectations but also provides high rewards. This organization gets it: if you truly want the best employees you need to apply equal doses of pressure and praise. Realize that I’m not suggesting crazy overtime or un-realistic working conditions. I do not agree with the “Glengary-Glenross” method of encouragement. But as anyone who follows sports can tell you, the teams that win are the ones where the coaches push their players to be their best; to achieve new levels of performance that they didn’t know they could receive. And the result for the players is more money, fame, and opportunity. It’s in this environment that organizations can focus on innovation – true innovation that builds the business and allows everyone involved to truly benefit. In Closing Organizations love to use the word “Innovation” and its derivatives, but very few actually do innovate. For many, the term has just become another marketing buzzword to lump in with all the other business terms that get overused. But for those organizations that truly get the value of innovation, they will be the ones surging forward while other companies simply fade into the background. And they will be the organizations that expect more from their employees, and give them their just rewards.

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  • Auto DOP and Concurrency

    - by jean-pierre.dijcks
    After spending some time in the cloud, I figured it is time to come down to earth and start discussing some of the new Auto DOP features some more. As Database Machines (the v2 machine runs Oracle Database 11.2) are effectively selling like hotcakes, it makes some sense to talk about the new parallel features in more detail. For basic understanding make sure you have read the initial post. The focus there is on Auto DOP and queuing, which is to some extend the focus here. But now I want to discuss the concurrency a little and explain some of the relevant parameters and their impact, specifically in a situation with concurrency on the system. The goal of Auto DOP The idea behind calculating the Automatic Degree of Parallelism is to find the highest possible DOP (ideal DOP) that still scales. In other words, if we were to increase the DOP even more  above a certain DOP we would see a tailing off of the performance curve and the resource cost / performance would become less optimal. Therefore the ideal DOP is the best resource/performance point for that statement. The goal of Queuing On a normal production system we should see statements running concurrently. On a Database Machine we typically see high concurrency rates, so we need to find a way to deal with both high DOP’s and high concurrency. Queuing is intended to make sure we Don’t throttle down a DOP because other statements are running on the system Stay within the physical limits of a system’s processing power Instead of making statements go at a lower DOP we queue them to make sure they will get all the resources they want to run efficiently without trashing the system. The theory – and hopefully – practice is that by giving a statement the optimal DOP the sum of all statements runs faster with queuing than without queuing. Increasing the Number of Potential Parallel Statements To determine how many statements we will consider running in parallel a single parameter should be looked at. That parameter is called PARALLEL_MIN_TIME_THRESHOLD. The default value is set to 10 seconds. So far there is nothing new here…, but do realize that anything serial (e.g. that stays under the threshold) goes straight into processing as is not considered in the rest of this post. Now, if you have a system where you have two groups of queries, serial short running and potentially parallel long running ones, you may want to worry only about the long running ones with this parallel statement threshold. As an example, lets assume the short running stuff runs on average between 1 and 15 seconds in serial (and the business is quite happy with that). The long running stuff is in the realm of 1 – 5 minutes. It might be a good choice to set the threshold to somewhere north of 30 seconds. That way the short running queries all run serial as they do today (if it ain’t broken, don’t fix it) and allows the long running ones to be evaluated for (higher degrees of) parallelism. This makes sense because the longer running ones are (at least in theory) more interesting to unleash a parallel processing model on and the benefits of running these in parallel are much more significant (again, that is mostly the case). Setting a Maximum DOP for a Statement Now that you know how to control how many of your statements are considered to run in parallel, lets talk about the specific degree of any given statement that will be evaluated. As the initial post describes this is controlled by PARALLEL_DEGREE_LIMIT. This parameter controls the degree on the entire cluster and by default it is CPU (meaning it equals Default DOP). For the sake of an example, let’s say our Default DOP is 32. Looking at our 5 minute queries from the previous paragraph, the limit to 32 means that none of the statements that are evaluated for Auto DOP ever runs at more than DOP of 32. Concurrently Running a High DOP A basic assumption about running high DOP statements at high concurrency is that you at some point in time (and this is true on any parallel processing platform!) will run into a resource limitation. And yes, you can then buy more hardware (e.g. expand the Database Machine in Oracle’s case), but that is not the point of this post… The goal is to find a balance between the highest possible DOP for each statement and the number of statements running concurrently, but with an emphasis on running each statement at that highest efficiency DOP. The PARALLEL_SERVER_TARGET parameter is the all important concurrency slider here. Setting this parameter to a higher number means more statements get to run at their maximum parallel degree before queuing kicks in.  PARALLEL_SERVER_TARGET is set per instance (so needs to be set to the same value on all 8 nodes in a full rack Database Machine). Just as a side note, this parameter is set in processes, not in DOP, which equates to 4* Default DOP (2 processes for a DOP, default value is 2 * Default DOP, hence a default of 4 * Default DOP). Let’s say we have PARALLEL_SERVER_TARGET set to 128. With our limit set to 32 (the default) we are able to run 4 statements concurrently at the highest DOP possible on this system before we start queuing. If these 4 statements are running, any next statement will be queued. To run a system at high concurrency the PARALLEL_SERVER_TARGET should be raised from its default to be much closer (start with 60% or so) to PARALLEL_MAX_SERVERS. By using both PARALLEL_SERVER_TARGET and PARALLEL_DEGREE_LIMIT you can control easily how many statements run concurrently at good DOPs without excessive queuing. Because each workload is a little different, it makes sense to plan ahead and look at these parameters and set these based on your requirements.

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  • a question on common lisp

    - by kostas
    Hello people, I'm getting crazy with a small problem here, I keep getting an error and I cant seem to figure out why, the code is supposed to change the range of a list, so if we give it a list with values (1 2 3 4) and we want to change the range in 11 to fourteen the result would be (11 12 13 14) the problem is that the last function called scale-list will give back an error saying: Debugger entered--Lisp error: (wrong-type-argument number-or-marker-p nil) anybody has a clue why? I use aquamacs as an editor thanks in advance ;;finds minimum in a list (defun minimum(list) (car (sort list #'<))) ;;finds maximum in a list (defun maximum(list) (car (sort list #'>))) ;;calculates the range of a list (defun range(list) (- (maximum list) (minimum list))) ;;this codes scales a value from a list (defun scale-value(list low high n) (+ (/ (* (- (nth (- n 1) list) (minimum list)) (- high low)) (range list)) low)) ;and this code is supposed to scale the whole list (defun scale-list(list low high n) (unless (= n 0) (cons (scale-value list low high n) (scale-list list low high (- n 1))))) (scale-list '(0.1 0.3 0.5 0.9) 20 30 4)

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  • Data management in unexpected places

    - by Ashok_Ora
    Normal 0 false false false EN-US X-NONE X-NONE Data management in unexpected places When you think of network switches, routers, firewall appliances, etc., it may not be obvious that at the heart of these kinds of solutions is an engine that can manage huge amounts of data at very high throughput with low latencies and high availability. Consider a network router that is processing tens (or hundreds) of thousands of network packets per second. So what really happens inside a router? Packets are streaming in at the rate of tens of thousands per second. Each packet has multiple attributes, for example, a destination, associated SLAs etc. For each packet, the router has to determine the address of the next “hop” to the destination; it has to determine how to prioritize this packet. If it’s a high priority packet, then it has to be sent on its way before lower priority packets. As a consequence of prioritizing high priority packets, lower priority data packets may need to be temporarily stored (held back), but addressed fairly. If there are security or privacy requirements associated with the data packet, those have to be enforced. You probably need to keep track of statistics related to the packets processed (someone’s sure to ask). You have to do all this (and more) while preserving high availability i.e. if one of the processors in the router goes down, you have to have a way to continue processing without interruption (the customer won’t be happy with a “choppy” VoIP conversation, right?). And all this has to be achieved without ANY intervention from a human operator – the router is most likely to be in a remote location – it must JUST CONTINUE TO WORK CORRECTLY, even when bad things happen. How is this implemented? As soon as a packet arrives, it is interpreted by the receiving software. The software decodes the packet headers in order to determine the destination, kind of packet (e.g. voice vs. data), SLAs associated with the “owner” of the packet etc. It looks up the internal database of “rules” of how to process this packet and handles the packet accordingly. The software might choose to hold on to the packet safely for some period of time, if it’s a low priority packet. Ah – this sounds very much like a database problem. For each packet, you have to minimally · Look up the most efficient next “hop” towards the destination. The “most efficient” next hop can change, depending on latency, availability etc. · Look up the SLA and determine the priority of this packet (e.g. voice calls get priority over data ftp) · Look up security information associated with this data packet. It may be necessary to retrieve the context for this network packet since a network packet is a small “slice” of a session. The context for the “header” packet needs to be stored in the router, in order to make this work. · If the priority of the packet is low, then “store” the packet temporarily in the router until it is time to forward the packet to the next hop. · Update various statistics about the packet. In most cases, you have to do all this in the context of a single transaction. For example, you want to look up the forwarding address and perform the “send” in a single transaction so that the forwarding address doesn’t change while you’re sending the packet. So, how do you do all this? Berkeley DB is a proven, reliable, high performance, highly available embeddable database, designed for exactly these kinds of usage scenarios. Berkeley DB is a robust, reliable, proven solution that is currently being used in these scenarios. First and foremost, Berkeley DB (or BDB for short) is very very fast. It can process tens or hundreds of thousands of transactions per second. It can be used as a pure in-memory database, or as a disk-persistent database. BDB provides high availability – if one board in the router fails, the system can automatically failover to another board – no manual intervention required. BDB is self-administering – there’s no need for manual intervention in order to maintain a BDB application. No need to send a technician to a remote site in the middle of nowhere on a freezing winter day to perform maintenance operations. BDB is used in over 200 million deployments worldwide for the past two decades for mission-critical applications such as the one described here. You have a choice of spending valuable resources to implement similar functionality, or, you could simply embed BDB in your application and off you go! I know what I’d do – choose BDB, so I can focus on my business problem. What will you do? /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}

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  • Problem with a recursive function to find sqrt of a number

    - by Eternal Learner
    Below is a simple program which computes sqrt of a number using Bisection. While executing this with a call like sqrtr(4,1,4) in goes into an endless recursion . I am unable to figure out why this is happening. Below is the function : double sqrtr(double N , double Low ,double High ) { double value = 0.00; double mid = (Low + High + 1)/2; if(Low == High) { value = High; } else if (N < mid * mid ) { value = sqrtr(N,Low,mid-1) ; } else if(N >= mid * mid) { value = sqrtr(N,mid,High) ; } return value; }

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