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• Unlocking High Performance with Policy Administration Replacement

  - by helen.pitts(at)oracle.com

  Normal 0 false false false EN-US X-NONE X-NONE /* 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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-ansi-language:EN-CA; mso-fareast-language:EN-CA;} Normal 0 false false false EN-US X-NONE X-NONE /* 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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-ansi-language:EN-CA; mso-fareast-language:EN-CA;} It is clear the insurance industry is undergoing significant changes as it consolidates and prepares for growth. The increasing focus on customer centricity, enhanced and speedier product development capabilities, and compliance with regulatory changes has forced companies to rethink well-entrenched policy administration processes. In previous Oracle Insurance blogs I’ve highlighted industry research pointing to policy administration replacement as a top IT priority for carriers. It is predicted that by 2013, the global IT spend on policy administration alone is likely to be almost 22 percentage of the total insurance IT spend. To achieve growth, insurers are adopting new pricing models, enhancing distribution reach, and quickly launching new products and services—all of which depend on agile and effective policy administration processes and technologies. Next month speakers from Oracle Insurance and Capgemini Financial Services will discuss how insurers can competitively drive high performance through policy administration replacement during a free, one-hour webcast hosted by LOMA. Roger Soppe, Oracle senior director, Insurance Strategy, together with Capgemini’s Lars Ernsting, leader, Life & Pensions COE, and Scott Mampre, vice president, Insurance, will be the speakers. Specifically, they’ll be highlighting: How replacing a legacy policy administration system with a modern, flexible platform optimizes IT and operations costs, creates consistent processes and eliminates resource redundancies How selecting the right partner with the best blend of technology, operational, and consulting capabilities, is an important pre-requisite to unlock high performance from policy administration transformation to achieve product, operational, and cost leadership  The value of outsourcing closed block operations We look forward to your participation on Thursday, July 14, 11:00 a.m. ET. Please register now. Helen Pitts is senior product marketing manager for Oracle Insurance's life and annuities solutions.

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• GLSL Shader Texture Performance

  - by Austin

  I currently have a project that renders OpenGL video using a vertex and fragment shader. The shaders work fine as-is, but in trying to add in texturing, I am running into performance issues and can't figure out why. Before adding texturing, my program ran just fine and loaded my CPU between 0%-4%. When adding texturing (specifically textures AND color -- noted by comment below), my CPU is 100% loaded. The only code I have added is the relevant texturing code to the shader, and the "glBindTexture()" calls to the rendering code. Here are my shaders and relevant rending code. Vertex Shader: #version 150 uniform mat4 mvMatrix; uniform mat4 mvpMatrix; uniform mat3 normalMatrix; uniform vec4 lightPosition; uniform float diffuseValue; layout(location = 0) in vec3 vertex; layout(location = 1) in vec3 color; layout(location = 2) in vec3 normal; layout(location = 3) in vec2 texCoord; smooth out VertData { vec3 color; vec3 normal; vec3 toLight; float diffuseValue; vec2 texCoord; } VertOut; void main(void) { gl_Position = mvpMatrix * vec4(vertex, 1.0); VertOut.normal = normalize(normalMatrix * normal); VertOut.toLight = normalize(vec3(mvMatrix * lightPosition - gl_Position)); VertOut.color = color; VertOut.diffuseValue = diffuseValue; VertOut.texCoord = texCoord; } Fragment Shader: #version 150 smooth in VertData { vec3 color; vec3 normal; vec3 toLight; float diffuseValue; vec2 texCoord; } VertIn; uniform sampler2D tex; layout(location = 0) out vec3 colorOut; void main(void) { float diffuseComp = max( dot(normalize(VertIn.normal), normalize(VertIn.toLight)) ), 0.0); vec4 color = texture2D(tex, VertIn.texCoord); colorOut = color.rgb * diffuseComp * VertIn.diffuseValue + color.rgb * (1 - VertIn.diffuseValue); // FOLLOWING LINE CAUSES PERFORMANCE ISSUES colorOut *= VertIn.color; } Relevant Rendering Code: // 3 textures have been successfully pre-loaded, and can be used // texture[0] is a 1x1 white texture to effectively turn off texturing glUseProgram(program); // Draw squares glBindTexture(GL_TEXTURE_2D, texture[1]); // Set attributes, uniforms, etc glDrawArrays(GL_QUADS, 0, 6*4); // Draw triangles glBindTexture(GL_TEXTURE_2D, texture[0]); // Set attributes, uniforms, etc glDrawArrays(GL_TRIANGLES, 0, 3*4); // Draw reference planes glBindTexture(GL_TEXTURE_2D, texture[0]); // Set attributes, uniforms, etc glDrawArrays(GL_LINES, 0, 4*81*2); // Draw terrain glBindTexture(GL_TEXTURE_2D, texture[2]); // Set attributes, uniforms, etc glDrawArrays(GL_TRIANGLES, 0, 501*501*6); // Release glBindTexture(GL_TEXTURE_2D, 0); glUseProgram(0); Any help is greatly appreciated!

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• ClearTrace Performance on 170GB of Trace Files

  - by Bill Graziano

  I’ve always worked to make ClearTrace perform well.  That’s probably because I spend so much time watching it work.  I’m often going through two or three gigabytes of trace files but I rarely get the chance to run it on a really large set of files. One of my clients wanted to run a full trace for a week and then analyze the results.  At the end of that week we had 847 200MB trace files for a total of nearly 170GB. I regularly use 200MB trace files when I monitor production systems.  I usually get around 300,000 statements in a file that size if it’s mostly stored procedures.  So those 847 trace files contained roughly 250 million statements.  (That’s 730 bytes per statement if you’re keeping track.  Newer trace files have some compression in them but I’m not exactly sure what they’re doing.)  On a system running 1,000 statements per second I get a new file every five minutes or so. It took 27 hours to process these files on an older development box.  That works out to 1.77MB/second.  That means ClearTrace processed about 2,654 statements per second. You can query the data while you’re loading it but I’ve found it works better to use a second instance of ClearTrace to do this.  I’m not sure why yet but I think there’s still some dependency between the two processes. ClearTrace is almost always CPU bound.  It’s really just a huge, ugly collection of regular expressions.  It only writes a summary to its database at the end of each trace file so that usually isn’t a bottleneck.  At the end of this process, the executable was using roughly 435MB of RAM.  Certainly more than when it started but I think that’s acceptable. The database where all this is stored started out at 100MB.  After processing 170GB of trace files the database had grown to 203MB.  The space savings are due to the “datawarehouse-ish” design and only storing a summary of each trace file. You can download ClearTrace for SQL Server 2008 or test out the beta version for SQL Server 2012.  Happy Tuning!

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• Improving RDP performance

  - by blade

  Hi, How can I improve RDP performance? I'm on an 8mb line, and I have disabled all the fancy features like visual styles. One page said if I set a low speed, that too will increase performance. Is there any proof in this? Also, there was an ad here about an application/technology which can increase RDP performance by x20. Has anyone used this? Thanks

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• Poor WAMP performance when using SMB/UNC Paths

  - by Brad

  I've configured a WAMP (Windows Apache MySQL and PHP) stack when when configured to use local storage takes 3-4 seconds to load. When I use an SMB/UNC share it takes 12-15 seconds to load. Here are the two lines in my httpd.conf: #DocumentRoot "//10.99.108.11/test_htdocs" #<Directory "//10.99.108.11/test_htdocs"> #DocumentRoot "C:/www" #<Directory "C:/www"> Is there performance tuning I can do on windows server 2008 R2 to improve performance or is there another way to improve performance using smb

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• About can't export the performance problems.

  - by kyrathy

  At first,let me describe my environment My VirtualCenter is install on window 2008 ,and theDataBase that VC used is SQL 2008 I really want to ask is ..... When I use vsphere clinet to connect VC.....I got a problem. the performance chart only can show "realtime "...... whatever I only want to view the chart , or I want to export the performance log . when i manually want to export performance, and I select the time to 1 hour ,1 day ,1 month, or from a to b. it showed "No performance data to report for selected objects" only select realtime can export data normally. Before I install Vsphere 4 , I install the SQL 2008 , used the schema in the install CD(I follow the step to create SQL DB for vSphere) Could anybody help me how to solve this problem? And if need any information ,just tell me to provide. Thanks a lot.

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• SQL Server performance on VSphere 4.0

  - by Charles

  We are having a performance issue that we cannot explain with our VMWare environment and I am hoping someone here may be able to help. We have a web application that uses a databases backend. We have an SQL 2005 Cluster setup on Windows 2003 R2 between a physical node and a virtual node. Both physical servers are identical 2950's with 2x Xeaon x5460 Quad Core CPUs and 64GB of memory, 16GB allocated to the OS. We are utilizing an iSCSI San for all cluster disks. The problem is this, when utilizing the application under a repeated stress testing that adds CPUs to the cluster nodes, the Physical node scales from 1 pCPU to 8 pCPUs, meaning we see continued performance increases. When testing the node running Vsphere, we have the expected 12% performance hit for being virtual but we still scale from 1 vCPU to 4 vCPUs like the physical but beyond this performance drops off, by the time we get to 8 vCPUs we are seeing performance numbers worse than at 4 vCPUs. Again, both nodes are configured identically in terms of hardware, Guest OS, SQL Configurations etc and there is no traffic other than the testing on the system. There are no other VMs on the virtual server so there should be no competition for resources. We have contacted VMWare for help but they have not really been any suggesting things like setting SQL Processor Affinity which, while being helpful would have the same net effect on each box and should not change our results in the least. We have looked at all of VMWare's SQL Tuning guides with regards to VSphere with no benefit, please help!

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• Bad performance with Linux software RAID5 and LUKS encryption

  - by Philipp Wendler

  I have set up a Linux software RAID5 on three hard drives and want to encrypt it with cryptsetup/LUKS. My tests showed that the encryption leads to a massive performance decrease that I cannot explain. The RAID5 is able to write 187 MB/s [1] without encryption. With encryption on top of it, write speed is down to about 40 MB/s. The RAID has a chunk size of 512K and a write intent bitmap. I used -c aes-xts-plain -s 512 --align-payload=2048 as the parameters for cryptsetup luksFormat, so the payload should be aligned to 2048 blocks of 512 bytes (i.e., 1MB). cryptsetup luksDump shows a payload offset of 4096. So I think the alignment is correct and fits to the RAID chunk size. The CPU is not the bottleneck, as it has hardware support for AES (aesni_intel). If I write on another drive (an SSD with LVM) that is also encrypted, I do have a write speed of 150 MB/s. top shows that the CPU usage is indeed very low, only the RAID5 xor takes 14%. I also tried putting a filesystem (ext4) directly on the unencrypted RAID so see if the layering is problem. The filesystem decreases the performance a little bit as expected, but by far not that much (write speed varying, but 100 MB/s). Summary: Disks + RAID5: good Disks + RAID5 + ext4: good Disks + RAID5 + encryption: bad SSD + encryption + LVM + ext4: good The read performance is not affected by the encryption, it is 207 MB/s without and 205 MB/s with encryption (also showing that CPU power is not the problem). What can I do to improve the write performance of the encrypted RAID? [1] All speed measurements were done with several runs of dd if=/dev/zero of=DEV bs=100M count=100 (i.e., writing 10G in blocks of 100M). Edit: If this helps: I'm using Ubuntu 11.04 64bit with Linux 2.6.38. Edit2: The performance stays approximately the same if I pass a block size of 4KB, 1MB or 10MB to dd.

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• SQL Server – SafePeak “Logon Trigger” Feature for Managing Data Access

  - by pinaldave

  Lately I received an interesting question about the abilities of SafePeak for SQL Server acceleration software: Q: “I would like to use SafePeak to make my CRM application faster. It is an application we bought from some vendor, after a while it became slow and we can’t reprogram it. SafePeak automated caching sounds like an easy and good solution for us. But, in my application there are many servers and different other applications services that address its main database, and some even change data, and I feel that there is a chance that some servers that during the connection process we may miss some. Is there a way to ensure that SafePeak will be aware of all connections to the SQL Server, so its cache will remain intact?” Interesting question, as I remember that SafePeak (http://www.safepeak.com/Product/SafePeak-Overview) likes that all traffic to the database will go thru it. I decided to check out the features of SafePeak latest version (2.1) and seek for an answer there. A: Indeed I found SafePeak has a feature they call “Logon Trigger” and is designed for that purpose. It is located in the user interface, under: Settings -> SQL instances management  ->  [your instance]  ->  [Logon Trigger] tab. From here you activate / deactivate it and control a white-list of enabled server IPs and Login names that SafePeak will ignore them. Click to Enlarge After activation of the “logon trigger” Safepeak server is notified by the SQL Server itself on each new opened connection. Safepeak monitors those connections and decides if there is something to do with them or not. On a typical installation SafePeak likes all application and users connections to go via SafePeak – this way it knows about data and schema updates immediately (real time). With activation of the safepeak “logon trigger”  a special CLR trigger is deployed on the SQL server and notifies Safepeak on any connection that has not arrived via SafePeak. In such cases Safepeak can act to clear and lock the cache or to ignore it. This feature enables to make sure SafePeak will be aware of all connections so SafePeak cache will maintain exactly correct all times. So even if a user, like a DBA will connect to the SQL Server not via SafePeak, SafePeak will know about it and take actions. The notification does not impact the work of that connection, the user or application still continue to do whatever they planned to do. Note: I found that activation of logon trigger in SafePeak requires that SafePeak SQL login will have the next permissions: 1) CONTROL SERVER; 2) VIEW SERVER STATE; 3) And the SQL Server instance is CLR enabled; Seeing SafePeak in action, I can say SafePeak brings fantastic resource for those who seek to get performance for SQL Server critical apps. SafePeak promises to accelerate SQL Server applications in just several hours of installation, automatic learning and some optimization configuration (no code changes!!!). If better application and database performance means better business to you – I suggest you to download and try SafePeak. The solution of SafePeak is indeed unique, and the questions I receive are very interesting. Have any more questions on SafePeak? Please leave your question as a comment and I will try to get an answer for you. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• Why is mesh baking causing huge performance spikes?

  - by jellyfication

  A couple of seconds into the gameplay on my Android device, I see huge performance spikes caused by "Mesh.Bake Scaled Mesh PhysX CollisionData" In my game, a whole level is a parent object containing multiple ridigbodies with mesh colliders. Every FixedUpdate(), my parent object rotates around the player. Rotating the world causes mesh scaling. Here is the code that handles world rotation. private void Update() { input.update(); Vector3 currentInput = input.GetDirection(); worldParent.rotation = initialRotation; worldParent.DetachChildren(); worldParent.position = transform.position; world.parent = worldParent; worldParent.Rotate(Vector3.right, currentInput.x * 50f); worldParent.Rotate(Vector3.forward, currentInput.z * 50f); } How can I get rid of mesh scaling ? Mesh.Bake physx seems to take effect after some time, is it possible to disable this function ? The profiler looks like this: Bottom-left panel shows data before spikes, the right after

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• Oracle President Mark Hurd Highlights How Data-driven HR Decisions Help Maximize Business Performance

  - by Scott Ewart

  HR Intelligence Can Help Companies Win the Race for Talent Today during a keynote at Taleo World 2012, Oracle President Mark Hurd outlined the ways that executives can use HR intelligence to help them make better business decisions, shape the future of their organizations and improve the bottom line. He highlighted that talent management is one of the top three focus areas for CEOs, and explained how HR intelligence can help drive decisions to meet business objectives. Hurd urged HR leaders to use data to make fact-based decisions about hiring, talent management and succession to drive strategic growth. To win the race for talent, Hurd explained that organizations need powerful technology that provides fact-based valuable insight that is needed to proactively manage talent, drive strategic initiatives that promote innovation, and enhance business performance. To view the full story and press release, click here.

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• Performance considerations for common SQL queries

  - by Jim Giercyk

  Originally posted on: http://geekswithblogs.net/NibblesAndBits/archive/2013/10/16/performance-considerations-for-common-sql-queries.aspxSQL offers many different methods to produce the same results.  There is a never-ending debate between SQL developers as to the “best way” or the “most efficient way” to render a result set.  Sometimes these disputes even come to blows….well, I am a lover, not a fighter, so I decided to collect some data that will prove which way is the best and most efficient.  For the queries below, I downloaded the test database from SQLSkills:  http://www.sqlskills.com/sql-server-resources/sql-server-demos/.  There isn’t a lot of data, but enough to prove my point: dbo.member has 10,000 records, and dbo.payment has 15,554.  Our result set contains 6,706 records. The following queries produce an identical result set; the result set contains aggregate payment information for each member who has made more than 1 payment from the dbo.payment table and the first and last name of the member from the dbo.member table.   /*************/ /* Sub Query  */ /*************/ SELECT  a.[Member Number] ,         m.lastname ,         m.firstname ,         a.[Number Of Payments] ,         a.[Average Payment] ,         a.[Total Paid] FROM    ( SELECT    member_no 'Member Number' ,                     AVG(payment_amt) 'Average Payment' ,                     SUM(payment_amt) 'Total Paid' ,                     COUNT(Payment_No) 'Number Of Payments'           FROM      dbo.payment           GROUP BY  member_no           HAVING    COUNT(Payment_No) > 1         ) a         JOIN dbo.member m ON a.[Member Number] = m.member_no         /***************/ /* Cross Apply  */ /***************/ SELECT  ca.[Member Number] ,         m.lastname ,         m.firstname ,         ca.[Number Of Payments] ,         ca.[Average Payment] ,         ca.[Total Paid] FROM    dbo.member m         CROSS APPLY ( SELECT    member_no 'Member Number' ,                                 AVG(payment_amt) 'Average Payment' ,                                 SUM(payment_amt) 'Total Paid' ,                                 COUNT(Payment_No) 'Number Of Payments'                       FROM      dbo.payment                       WHERE     member_no = m.member_no                       GROUP BY  member_no                       HAVING    COUNT(Payment_No) > 1                     ) ca /********/                    /* CTEs  */ /********/ ; WITH    Payments           AS ( SELECT   member_no 'Member Number' ,                         AVG(payment_amt) 'Average Payment' ,                         SUM(payment_amt) 'Total Paid' ,                         COUNT(Payment_No) 'Number Of Payments'                FROM     dbo.payment                GROUP BY member_no                HAVING   COUNT(Payment_No) > 1              ),         MemberInfo           AS ( SELECT   p.[Member Number] ,                         m.lastname ,                         m.firstname ,                         p.[Number Of Payments] ,                         p.[Average Payment] ,                         p.[Total Paid]                FROM     dbo.member m                         JOIN Payments p ON m.member_no = p.[Member Number]              )     SELECT  *     FROM    MemberInfo /************************/ /* SELECT with Grouping   */ /************************/ SELECT  p.member_no 'Member Number' ,         m.lastname ,         m.firstname ,         COUNT(Payment_No) 'Number Of Payments' ,         AVG(payment_amt) 'Average Payment' ,         SUM(payment_amt) 'Total Paid' FROM    dbo.payment p         JOIN dbo.member m ON m.member_no = p.member_no GROUP BY p.member_no ,         m.lastname ,         m.firstname HAVING  COUNT(Payment_No) > 1   We can see what is going on in SQL’s brain by looking at the execution plan.  The Execution Plan will demonstrate which steps and in what order SQL executes those steps, and what percentage of batch time each query takes.  SO….if I execute all 4 of these queries in a single batch, I will get an idea of the relative time SQL takes to execute them, and how it renders the Execution Plan.  We can settle this once and for all.  Here is what SQL did with these queries:   Not only did the queries take the same amount of time to execute, SQL generated the same Execution Plan for each of them.  Everybody is right…..I guess we can all finally go to lunch together!  But wait a second, I may not be a fighter, but I AM an instigator.     Let’s see how a table variable stacks up.  Here is the code I executed: /********************/ /*  Table Variable  */ /********************/ DECLARE @AggregateTable TABLE     (       member_no INT ,       AveragePayment MONEY ,       TotalPaid MONEY ,       NumberOfPayments MONEY     ) INSERT  @AggregateTable         SELECT  member_no 'Member Number' ,                 AVG(payment_amt) 'Average Payment' ,                 SUM(payment_amt) 'Total Paid' ,                 COUNT(Payment_No) 'Number Of Payments'         FROM    dbo.payment         GROUP BY member_no         HAVING  COUNT(Payment_No) > 1   SELECT  at.member_no 'Member Number' ,         m.lastname ,         m.firstname ,         at.NumberOfPayments 'Number Of Payments' ,         at.AveragePayment 'Average Payment' ,         at.TotalPaid 'Total Paid' FROM    @AggregateTable at         JOIN dbo.member m ON m.member_no = at.member_no In the interest of keeping things in groupings of 4, I removed the last query from the previous batch and added the table variable query.  Here’s what I got:     Since we first insert into the table variable, then we read from it, the Execution Plan renders 2 steps.  BUT, the combination of the 2 steps is only 22% of the batch.  It is actually faster than the other methods even though it is treated as 2 separate queries in the Execution Plan.  The argument I often hear against Table Variables is that SQL only estimates 1 row for the table size in the Execution Plan.  While this is true, the estimate does not come in to play until you read from the table variable.  In this case, the table variable had 6,706 rows, but it still outperformed the other queries.  People argue that table variables should only be used for hash or lookup tables.  The fact is, you have control of what you put IN to the variable, so as long as you keep it within reason, these results suggest that a table variable is a viable alternative to sub-queries. If anyone does volume testing on this theory, I would be interested in the results.  My suspicion is that there is a breaking point where efficiency goes down the tubes immediately, and it would be interesting to see where the threshold is. Coding SQL is a matter of style.  If you’ve been around since they introduced DB2, you were probably taught a little differently than a recent computer science graduate.  If you have a company standard, I strongly recommend you follow it.    If you do not have a standard, generally speaking, there is no right or wrong answer when talking about the efficiency of these types of queries, and certainly no hard-and-fast rule.  Volume and infrastructure will dictate a lot when it comes to performance, so your results may vary in your environment.  Download the database and try it!

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• Crystal Reports: 5 Tests for Top Performance

  Your masterpiece report is now complete. It doesn't just meet your customer’s expectations, it blows them out of the water. All they want is a beautifully-summarized report that can be displayed in a myriad of ways. Then disaster strikes! You try to run the report for a month against the live database and not the two days worth of test data you used for development, then your report’s runtime goes from twenty seconds to two hours. Every Crystal Reports developer has experienced this situation and it can be one of the most frustrating aspects of report design. Thankfully there are a variety of things that can be done to combat bad performance, any one of which can reap huge benefits...

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• Is there any performance comparison between Perl web frameworks?

  - by DVK

  I have seen mentions (which sounded like unsubstantiated opinions, and dated ones at that) that Embperl is the fastest Perl web framework. I was wondering if there's a consensus on the relative speed of the major stable Perl web frameworks, or ideally, some sort of fact-based performance comparisons between implementations of the same sample webapps, or individual functionalities (e.g. session handling or form data processing), etc...?

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• Strategies for very fast delivery of webpages.

  - by Cherian

  I run a website Cucumbertown with an initial pay load of nearly 9KB zipped. All my js is delayed loaded with requirejs and modernizer is the only exception. Now all my webpages are Nginx cached and only 10-15% hits go to the backend proxy. And the cache is invalidated by logged in users as proxy_cache_bypass. So for an anonymous user its nearly always a cache hit. I have some basic OS tuning with default via ip dev eth0 initcwnd 15 net.ipv4.tcp_slow_start_after_idle 0 Despite an all cache & large initcwnd my pages still take 2.5 – 3 seconds. I have a yslow score of And page speed at Are there strategies that can help deliver webpages even faster than this? Deliver pages at 1+ second time for 10KB payload? Notes: My servers run of a fairly good data center from Linode at Fremont.

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• Performance: recursion vs. iteration in Javascript

  - by mastazi

  I have read recently some articles (e.g. http://dailyjs.com/2012/09/14/functional-programming/) about the functional aspects of Javascript and the relationship between Scheme and Javascript (the latter was influenced by the first, which is a functional language, while the O-O aspects are inherited from Self which is a prototyping-based language). However my question is more specific: I was wondering if there are metrics about the performance of recursion vs. iteration in Javascript. I know that in some languages (where by design iteration performs better) the difference is minimal because the interpreter / compiler converts recursion into iteration, however I guess that probably this is not the case of Javascript since it is, at least partially, a functional language.

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• .NET 4: &ldquo;Slim&rdquo;-style performance boost!

  - by Vitus

  RTM version of .NET 4 and Visual Studio 2010 is available, and now we can do some test with it. Parallel Extensions is one of the most valuable part of .NET 4.0. It’s a set of good tools for easily consuming multicore hardware power. And it also contains some “upgraded” sync primitives – Slim-version. For example, it include updated variant of widely known ManualResetEvent. For people, who don’t know about it: you can sync concurrency execution of some pieces of code with this sync primitive. Instance of ManualResetEvent can be in 2 states: signaled and non-signaled. Transition between it possible by Set() and Reset() methods call. Some shortly explanation: Thread 1 Thread 2 Time mre.Reset(); mre.WaitOne(); //code execution 0 //wating //code execution 1 //wating //code execution 2 //wating //code execution 3 //wating mre.Set(); 4 //code execution //… 5 Upgraded version of this primitive is ManualResetEventSlim. The idea in decreasing performance cost in case, when only 1 thread use it. Main concept in the “hybrid sync schema”, which can be done as following:   internal sealed class SimpleHybridLock : IDisposable { private Int32 m_waiters = 0; private AutoResetEvent m_waiterLock = new AutoResetEvent(false);   public void Enter() { if (Interlocked.Increment(ref m_waiters) == 1) return; m_waiterLock.WaitOne(); }   public void Leave() { if (Interlocked.Decrement(ref m_waiters) == 0) return; m_waiterLock.Set(); }   public void Dispose() { m_waiterLock.Dispose(); } } It’s a sample from Jeffry Richter’s book “CLR via C#”, 3rd edition. Primitive SimpleHybridLock have two public methods: Enter() and Leave(). You can put your concurrency-critical code between calls of these methods, and it would executed in only one thread at the moment. Code is really simple: first thread, called Enter(), increase counter. Second thread also increase counter, and suspend while m_waiterLock is not signaled. So, if we don’t have concurrent access to our lock, “heavy” methods WaitOne() and Set() will not called. It’s can give some performance bonus. ManualResetEvent use the similar idea. Of course, it have more “smart” technics inside, like a checking of recursive calls, and so on. I want to know a real difference between classic ManualResetEvent realization, and new –Slim. I wrote a simple “benchmark”: class Program { static void Main(string[] args) { ManualResetEventSlim mres = new ManualResetEventSlim(false); ManualResetEventSlim mres2 = new ManualResetEventSlim(false);   ManualResetEvent mre = new ManualResetEvent(false);   long total = 0; int COUNT = 50;   for (int i = 0; i < COUNT; i++) { mres2.Reset(); Stopwatch sw = Stopwatch.StartNew();   ThreadPool.QueueUserWorkItem((obj) => { //Method(mres, true); Method2(mre, true); mres2.Set(); }); //Method(mres, false); Method2(mre, false);   mres2.Wait(); sw.Stop();   Console.WriteLine("Pass {0}: {1} ms", i, sw.ElapsedMilliseconds); total += sw.ElapsedMilliseconds; }   Console.WriteLine(); Console.WriteLine("==============================="); Console.WriteLine("Done in average=" + total / (double)COUNT); Console.ReadLine(); }   private static void Method(ManualResetEventSlim mre, bool value) { for (int i = 0; i < 9000000; i++) { if (value) { mre.Set(); } else { mre.Reset(); } } }   private static void Method2(ManualResetEvent mre, bool value) { for (int i = 0; i < 9000000; i++) { if (value) { mre.Set(); } else { mre.Reset(); } } } } I use 2 concurrent thread (the main thread and one from thread pool) for setting and resetting ManualResetEvents, and try to run test COUNT times, and calculate average execution time. Here is the results (I get it on my dual core notebook with T7250 CPU and Windows 7 x64): ManualResetEvent ManualResetEventSlim Difference is obvious and serious – in 10 times! So, I think preferable way is using ManualResetEventSlim, because not always on calling Set() and Reset() will be called “heavy” methods for working with Windows kernel-mode objects. It’s a small and nice improvement! ;)

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• Does adding width and height to inline images increase the page load performance?

  - by metal-gear-solid

  Does adding width and height to inline images increase the page load performance? <img id="moon" height="200" width="450" src="http://www.domain.com/moon.png" alt="moon image" /> Compare to this <img id="moon" src="http://www.domain.com/moon.png" alt="moon image" />

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• A hónap könyve: "Achieving Extreme Performance with Oracle Exadata"

  - by Lajos Sárecz

  Luis Moreno Campos ocpdba oracle weblog blogjában találtam a fenti fotót és a hírt, hogy megjelent az elso Oracle Exadata-ról szóló könyv! Már a tartalomjegyzék alapján nagyon ígéretes a könyv. Azt gondolom kötelezo olvasmány mindazoknak, akik használják, használni fogják az Oracle Exadata Database Machine-t, vagy egyszeruen csak érdeklodnek azon Oracle technológiák iránt, melyek annyira kimagasló képességuvé teszik ezt a korszakváltó adatbázis szervert. A könyv az alábbi forrásból érheto el: Achieving Extreme Performance with Oracle Exadata (Osborne ORACLE Press Series) Rick Greenwald Apropó, épp félóra múlva lesz egy érdekes webcast arról, hogyan lehet biztonsággal vegyes terhelést futtatni egy Exadata szerveren. Még lehet regisztrálni!

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• Supercharging the Performance of Your Front-Office Applications @ OOW'12

  - by Sanjeev Sharma

  [Re-posted from here.] You can increase customer satisfaction, brand equity, and ultimately top-line revenue by deploying  Oracle ATG Web Commerce, Oracle WebCenter Sites, Oracle Endeca applications, Oracle’s  Siebel applications, and other front-office applications on Oracle Exalogic, Oracle’s combination  of hardware and software for applications and middleware. Join me (Sanjeev Sharma) and my colleague, Kelly Goetsch, at the following conference session at Oracle Open World to find out how Customer Experience can be transformed with Oracle Exalogic: Session:  CON9421 - Supercharging the Performance of Your Front-Office Applications with Oracle ExalogicDate: Wednesday, 3 Oct, 2012Time: 10:15 am - 11:15 am (PST)Venue: Moscone South (309)

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• Is it possible to simulate load balancers, and how much performance gain they provide?

  - by Lakhlani Prashant

  I have a website which runs on IIS (Asp.net application, some of them are in dotnetnuke also) and we are expecting higher numbers of traffic on some of the sites, so we are planning to add a load-balancer, but before going to do that, we just want to know is it worth to do that? So, I want to know if is it possible to simulate load balancer, and how much performance gain they provide?

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• is it possible to symulate load balancers, and how much performance gain they provide?

  - by Lakhlani Prashant

  I have a website which runs on IIS (Asp.net application, some of them are in dotnetnuke also) and we are expecting higher numbers of traffic on some of the sites, so we are planning to add a load-balancer, but before going to do that, we just want to konw is it worth to do that? so, I want to know if is it possible to simulate load balancer, and how much performance gain they provide?

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• No cache and Google AdSense performance

  - by Luca

  I'm developing a page where I need to avoid JavaScript caching by browser. I've added this header: <?php header('Cache-Control: no-cache, no-store, must-revalidate'); header('Pragma: no-cache'); header('Expires: 0'); ?> After this, browsers didn't cache more JavaScript sorting out the issue, but in the same time I noticed a drop in Google AdSense RPM. Then I removed the added code and now Google AdSense RPM is reaching again a good value. So, how could I avoid JavaScript caching without meddle with AdSense performance?

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• What's the performance penalty of using isKindOfClass in Objective C?

  - by durcicko

  I'm considering introducing: if ([myInstance isKindOfClass:[SomeClass class]]) { do something...} into a piece of code that gets called pretty often. Will I introduce a significant performance penalty? In Objective C, is there a quicker way of assessing whether a given object instance is of certain class type? For example, is the following quicker? (I realize the test is somewhat different) if (myInstance.class == [SomeClass class]) { do something else...}

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• SQLAuthority News Guest Post Performance Counters Gathering using Powershell

  Laerte Junior Laerte Junior has previously helped me personally to resolve the issue with Powershell installation on my computer. He did awesome job to help. He has send this another wonderful article regarding performance counter for readers of this blog. I really liked it and I expect all of you who are Powershell geeks, you [...]...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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