Search Results

Search found 5572 results on 223 pages for 'cpu'.

Page 126/223 | < Previous Page | 122 123 124 125 126 127 128 129 130 131 132 133  | Next Page >

  • Amazon Web Services (AWS) Plug-in for Oracle Enterprise Manager

    - by Anand Akela
    v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false 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-bidi-font-family:"Times New Roman";} Contributed by Sunil Kunisetty and Daniel Chan Introduction and ArchitectureAs more and more enterprises deploy some of their non-critical workload on Amazon Web Services (AWS), it’s becoming critical to monitor those public AWS resources along side with their on-premise resources. Oracle recently announced Oracle Enterprise Manager Plug-in for Amazon Web Services (AWS) allows you to achieve that goal. The on-premise Oracle Enterprise Manager (EM12c) acts as a single tool to get a comprehensive view of your public AWS resources as well as your private cloud resources.  By deploying the plug-in within your Cloud Control environment, you gain the following management features: Monitor EBS, EC2 and RDS instances on Amazon Web Services Gather performance metrics and configuration details for AWS instances Raise alerts and violations based on thresholds set on monitoring Generate reports based on the gathered data Users of this Plug-in can leverage the rich Enterprise Manager features such as system promotion, incident generation based on thresholds, integration with 3rd party ticketing applications etc. AWS Monitoring via this Plug-in is enabled via Amazon CloudWatch API and the users of this Plug-in are responsible for supplying credentials for accessing AWS and the CloudWatch API. This Plug-in can only be deployed on an EM12C R2 platform and agent version should be at minimum 12c R2.Here is a pictorial view of the overall architecture: Amazon Elastic Block Store (EBS) Amazon Elastic Compute Cloud (EC2) Amazon Relational Database Service (RDS) Here are a few key features: Rich and exhaustive list of metrics. Metrics can be gathered from an Agent running outside AWS. Critical configuration information. Custom Home Pages with charts and AWS configuration information. Generate incidents based on thresholds set on monitoring data. Discovery and Monitoring AWS instances can be added to EM12C either via the EM12c User Interface (UI) or the EM12c Command Line Interface ( EMCLI)  by providing the AWS credentials (Secret Key and Access Key Id) as well as resource specific properties as target properties. Here is a quick mapping of target types and properties for each AWS resources AWS Resource Type Target Type Resource specific properties EBS Resource Amazon EBS Service CloudWatch base URI, EC2 Base URI, Period, Volume Id, Proxy Server and Port EC2 Resource Amazon EC2 Service CloudWatch base URI, EC2 Base URI, Period, Instance  Id, Proxy Server and Port RDS Resource Amazon RDS Service CloudWatch base URI, RDS Base URI, Period, Instance  Id, Proxy Server and Port Proxy server and port are optional and are only needed if the agent is within the firewall. Here is an emcli example to add an EC2 target. Please read the Installation and Readme guide for more details and step-by-step instructions to deploy  the plugin and adding the AWS the instances. ./emcli add_target \       -name="<target name>" \       -type="AmazonEC2Service" \       -host="<host>" \       -properties="ProxyHost=<proxy server>;ProxyPort=<proxy port>;EC2_BaseURI=http://ec2.<region>.amazonaws.com;BaseURI=http://monitoring.<region>.amazonaws.com;InstanceId=<EC2 instance Id>;Period=<data point periond>"  \     -subseparator=properties="=" ./emcli set_monitoring_credential \                 -set_name="AWSKeyCredentialSet"  \                 -target_name="<target name>"  \                 -target_type="AmazonEC2Service" \                 -cred_type="AWSKeyCredential"  \                 -attributes="AccessKeyId:<access key id>;SecretKey:<secret key>" Emcli utility is found under the ORACLE_HOME of EM12C install. Once the instance is discovered, the target will show up under the ‘All Targets’ list under “Amazon EC2 Service’. Once the instances are added, one can navigate to the custom homepages for these resource types. The custom home pages not only include critical metrics, but also vital configuration parameters and incidents raised for these instances.  By mapping the configuration parameters as instance properties, we can slice-and-dice and group various AWS instance by leveraging the EM12C Config search feature. The following configuration properties and metrics are collected for these Resource types. Resource Type Configuration Properties Metrics EBS Resource Volume Id, Volume Type, Device Name, Size, Availability Zone Response: Status Utilization: QueueLength, IdleTime Volume Statistics: ReadBrandwith, WriteBandwidth, ReadThroughput, WriteThroughput Operation Statistics: ReadSize, WriteSize, ReadLatency, WriteLatency EC2 Resource Instance ID, Owner Id, Root Device type, Instance Type. Availability Zone Response: Status CPU Utilization: CPU Utilization Disk I/O:  DiskReadBytes, DiskWriteBytes, DiskReadOps, DiskWriteOps, DiskReadRate, DiskWriteRate, DiskIOThroughput, DiskReadOpsRate, DiskWriteOpsRate, DiskOperationThroughput Network I/O : NetworkIn, NetworkOut, NetworkInRate, NetworkOutRate, NetworkThroughput RDS Resource Instance ID, Database Engine Name, Database Engine Version, Database Instance Class, Allocated Storage Size, Availability Zone Response: Status Disk I/O:  ReadIOPS, WriteIOPS, ReadLatency, WriteLatency, ReadThroughput, WriteThroughput DB Utilization:  BinLogDiskUsage, CPUUtilization, DatabaseConnections, FreeableMemory, ReplicaLag, SwapUsage Custom Home Pages As mentioned above, we have custom home pages for these target types that include basic configuration information,  last 24 hours availability, top metrics and the incidents generated. Here are few snapshots. EBS Instance Home Page: EC2 Instance Home Page: RDS Instance Home Page: Further Reading: 1)      AWS Plugin download 2)      Installation and  Read Me. 3)      Screenwatch on SlideShare 4)      Extensibility Programmer's Guide 5)      Amazon Web Services

    Read the article

  • Azure, don't give me multiple VMs, give me one elastic VM

    - by FransBouma
    Yesterday, Microsoft revealed new major features for Windows Azure (see ScottGu's post). It all looks shiny and great, but after reading most of the material describing the new features, I still find the overall idea behind all of it flawed: why should I care on how much VMs my web app runs? Isn't that a problem to solve for the Windows Azure engineers / software? And what if I need the file system, why can't I simply get a virtual filesystem ? To illustrate my point, let's use a real example: a product website with a customer system/database and next to it a support site with accompanying database. Both are written in .NET, using ASP.NET and use a SQL Server database each. The product website offers files to download by customers, very simple. You have a couple of options to host these websites: Buy a server, place it in a rack at an ISP and run the sites on that server Use 'shared hosting' with an ISP, which means your sites' appdomains are running on the same machine, as well as the files stored, and the databases are hosted in the same server as the other shared databases. Hire a VM, install your OS of choice at an ISP, and host the sites on that VM, basically the same as the first option, except you don't have a physical server At some cloud-vendor, either host the sites 'shared' or in a VM. See above. With all of those options, scalability is a problem, even the cloud-based ones, though not due to the same reasons: The physical server solution has the obvious problem that if you need more power, you need to buy a bigger server or more servers which requires you to add replication and other overhead Shared hosting solutions are almost always capped on memory usage / traffic and database size: if your sites get too big, you have to move out of the shared hosting environment and start over with one of the other solutions The VM solution, be it a VM at an ISP or 'in the cloud' at e.g. Windows Azure or Amazon, in theory allows scaling out by simply instantiating more VMs, however that too introduces the same overhead problems as with the physical servers: suddenly more than 1 instance runs your sites. If a cloud vendor offers its services in the form of VMs, you won't gain much over having a VM at some ISP: the main problems you have to work around are still there: when you spin up more than one VM, your application must be completely stateless at any moment, including the DB sub system, because what's in memory in instance 1 might not be in memory in instance 2. This might sounds trivial but it's not. A lot of the websites out there started rather small: they were perfectly runnable on a single machine with normal memory and CPU power. After all, you don't need a big machine to run a website with even thousands of users a day. Moving these sites to a multi-VM environment will cause a problem: all the in-memory state they use, all the multi-page transitions they use while keeping state across the transition, they can't do that anymore like they did that on a single machine: state is something of the past, you have to store every byte of state in either a DB or in a viewstate or in a cookie somewhere so with the next request, all state information is available through the request, as nothing is kept in-memory. Our example uses a bunch of files in a file system. Using multiple VMs will require that these files move to a cloud storage system which is mounted in each VM so we don't have to store the files on each VM. This might require different file paths, but this change should be minor. What's perhaps less minor is the maintenance procedure in place on the new type of cloud storage used: instead of ftp-ing into a VM, you might have to update the files using different ways / tools. All in all this makes moving an existing website which was written for an environment that's based around a VM (namely .NET with its CLR) overly cumbersome and problematic: it forces you to refactor your website system to be able to be used 'in the cloud', which is caused by the limited way how e.g. Windows Azure offers its cloud services: in blocks of VMs. Offer a scalable, flexible VM which extends with my needs Instead, cloud vendors should offer simply one VM to me. On that VM I run the websites, store my DB and my files. As it's a virtual machine, how this machine is actually ran on physical hardware (e.g. partitioned), I don't care, as that's the problem for the cloud vendor to solve. If I need more resources, e.g. I have more traffic to my server, way more visitors per day, the VM stretches, like I bought a bigger box. This frees me from the problem which comes with multiple VMs: I don't have any refactoring to do at all: I can simply build my website as if it runs on my local hardware server, upload it to the VM offered by the cloud vendor, install it on the VM and I'm done. "But that might require changes to windows!" Yes, but Microsoft is Windows. Windows Azure is their service, they can make whatever change to what they offer to make it look like it's windows. Yet, they're stuck, like Amazon, in thinking in VMs, which forces developers to 'think ahead' and gamble whether they would need to migrate to a cloud with multiple VMs in the future or not. Which comes down to: gamble whether they should invest time in code / architecture which they might never need. (YAGNI anyone?) So the VM we're talking about, is that a low-level VM which runs a guest OS, or is that VM a different kind of VM? The flexible VM: .NET's CLR ? My example websites are ASP.NET based, which means they run inside a .NET appdomain, on the .NET CLR, which is a VM. The only physical OS resource the sites need is the file system, however this too is accessed through .NET. In short: all the websites see is what .NET allows the websites to see, the world as the websites know it is what .NET shows them and lets them access. How the .NET appdomain is run physically, that's the concern of .NET, not mine. This begs the question why Windows Azure doesn't offer virtual appdomains? Or better: .NET environments which look like one machine but could be physically multiple machines. In such an environment, no change has to be made to the websites to migrate them from a local machine or own server to the cloud to get proper scaling: the .NET VM will simply scale with the need: more memory needed, more CPU power needed, it stretches. What it offers to the application running inside the appdomain is simply increasing, but not fragmented: all resources are available to the application: this means that the problem of how to scale is back to where it should be: with the cloud vendor. "Yeah, great, but what about the databases?" The .NET application communicates with the database server through a .NET ADO.NET provider. Where the database is located is not a problem of the appdomain: the ADO.NET provider has to solve that. I.o.w.: we can host the databases in an environment which offers itself as a single resource and is accessible through one connection string without replication overhead on the outside, and use that environment inside the .NET VM as if it was a single DB. But what about memory replication and other problems? This environment isn't simple, at least not for the cloud vendor. But it is simple for the customer who wants to run his sites in that cloud: no work needed. No refactoring needed of existing code. Upload it, run it. Perhaps I'm dreaming and what I described above isn't possible. Yet, I think if cloud vendors don't move into that direction, what they're offering isn't interesting: it doesn't solve a problem at all, it simply offers a way to instantiate more VMs with the guest OS of choice at the cost of me needing to refactor my website code so it can run in the straight jacket form factor dictated by the cloud vendor. Let's not kid ourselves here: most of us developers will never build a website which needs a truck load of VMs to run it: almost all websites created by developers can run on just a few VMs at most. Yet, the most expensive change is right at the start: moving from one to two VMs. As soon as you have refactored your website code to run across multiple VMs, adding another one is just as easy as clicking a mouse button. But that first step, that's the problem here and as it's right there at the beginning of scaling the website, it's particularly strange that cloud vendors refuse to solve that problem and leave it to the developers to solve that. Which makes migrating 'to the cloud' particularly expensive.

    Read the article

  • Parallel LINQ - PLINQ

    - by nmarun
    Turns out now with .net 4.0 we can run a query like a multi-threaded application. Say you want to query a collection of objects and return only those that meet certain conditions. Until now, we basically had one ‘control’ that iterated over all the objects in the collection, checked the condition on each object and returned if it passed. We obviously agree that if we can ‘break’ this task into smaller ones, assign each task to a different ‘control’ and ask all the controls to do their job - in-parallel, the time taken the finish the entire task will be much lower. Welcome to PLINQ. Let’s take some examples. I have the following method that uses our good ol’ LINQ. 1: private static void Linq(int lowerLimit, int upperLimit) 2: { 3: // populate an array with int values from lowerLimit to the upperLimit 4: var source = Enumerable.Range(lowerLimit, upperLimit); 5:  6: // Start a timer 7: Stopwatch stopwatch = new Stopwatch(); 8: stopwatch.Start(); 9:  10: // set the expectation => build the expression tree 11: var evenNumbers =   from num in source 12: where IsDivisibleBy(num, 2) 13: select num; 14: 15: // iterate over and print the returned items 16: foreach (var number in evenNumbers) 17: { 18: Console.WriteLine(string.Format("** {0}", number)); 19: } 20:  21: stopwatch.Stop(); 22:  23: // check the metrics 24: Console.WriteLine(String.Format("Elapsed {0}ms", stopwatch.ElapsedMilliseconds)); 25: } I’ve added comments for the major steps, but the only thing I want to talk about here is the IsDivisibleBy() method. I know I could have just included the logic directly in the where clause. I called a method to add ‘delay’ to the execution of the query - to simulate a loooooooooong operation (will be easier to compare the results). 1: private static bool IsDivisibleBy(int number, int divisor) 2: { 3: // iterate over some database query 4: // to add time to the execution of this method; 5: // the TableB has around 10 records 6: for (int i = 0; i < 10; i++) 7: { 8: DataClasses1DataContext dataContext = new DataClasses1DataContext(); 9: var query = from b in dataContext.TableBs select b; 10: 11: foreach (var row in query) 12: { 13: // Do NOTHING (wish my job was like this) 14: } 15: } 16:  17: return number % divisor == 0; 18: } Now, let’s look at how to modify this to PLINQ. 1: private static void Plinq(int lowerLimit, int upperLimit) 2: { 3: // populate an array with int values from lowerLimit to the upperLimit 4: var source = Enumerable.Range(lowerLimit, upperLimit); 5:  6: // Start a timer 7: Stopwatch stopwatch = new Stopwatch(); 8: stopwatch.Start(); 9:  10: // set the expectation => build the expression tree 11: var evenNumbers = from num in source.AsParallel() 12: where IsDivisibleBy(num, 2) 13: select num; 14:  15: // iterate over and print the returned items 16: foreach (var number in evenNumbers) 17: { 18: Console.WriteLine(string.Format("** {0}", number)); 19: } 20:  21: stopwatch.Stop(); 22:  23: // check the metrics 24: Console.WriteLine(String.Format("Elapsed {0}ms", stopwatch.ElapsedMilliseconds)); 25: } That’s it, this is now in PLINQ format. Oh and if you haven’t found the difference, look line 11 a little more closely. You’ll see an extension method ‘AsParallel()’ added to the ‘source’ variable. Couldn’t be more simpler right? So this is going to improve the performance for us. Let’s test it. So in my Main method of the Console application that I’m working on, I make a call to both. 1: static void Main(string[] args) 2: { 3: // set lower and upper limits 4: int lowerLimit = 1; 5: int upperLimit = 20; 6: // call the methods 7: Console.WriteLine("Calling Linq() method"); 8: Linq(lowerLimit, upperLimit); 9: 10: Console.WriteLine(); 11: Console.WriteLine("Calling Plinq() method"); 12: Plinq(lowerLimit, upperLimit); 13:  14: Console.ReadLine(); // just so I get enough time to read the output 15: } YMMV, but here are the results that I got:    It’s quite obvious from the above results that the Plinq() method is taking considerably less time than the Linq() version. I’m sure you’ve already noticed that the output of the Plinq() method is not in order. That’s because, each of the ‘control’s we sent to fetch the results, reported with values as and when they obtained them. This is something about parallel LINQ that one needs to remember – the collection cannot be guaranteed to be undisturbed. This could be counted as a negative about PLINQ (emphasize ‘could’). Nevertheless, if we want the collection to be sorted, we can use a SortedSet (.net 4.0) or build our own custom ‘sorter’. Either way we go, there’s a good chance we’ll end up with a better performance using PLINQ. And there’s another negative of PLINQ (depending on how you see it). This is regarding the CPU cycles. See the usage for Linq() method (used ResourceMonitor): I have dual CPU’s and see the height of the peak in the bottom two blocks and now compare to what happens when I run the Plinq() method. The difference is obvious. Higher usage, but for a shorter duration (width of the peak). Both these points make sense in both cases. Linq() runs for a longer time, but uses less resources whereas Plinq() runs for a shorter time and consumes more resources. Even after knowing all these, I’m still inclined towards PLINQ. PLINQ rocks! (no hard feelings LINQ)

    Read the article

  • How to solve exception_priv _instruction exception while running destop project? [on hold]

    - by Haritha
    While running desktop project im getting exception_priv _instruction how to solve this??? while running this page is coming # # A fatal error has been detected by the Java Runtime Environment: # # EXCEPTION_PRIV_INSTRUCTION (0xc0000096) at pc=0x02f5a92b, pid=3012, tid=3104 # # JRE version: 7.0-b147 # Java VM: Java HotSpot(TM) Client VM (21.0-b17 mixed mode, sharing windows-x86 ) # Problematic frame: # C 0x02f5a92b # # Failed to write core dump. Minidumps are not enabled by default on client versions of Windows # # If you would like to submit a bug report, please visit: # http://bugreport.sun.com/bugreport/crash.jsp # The crash happened outside the Java Virtual Machine in native code. # See problematic frame for where to report the bug. # --------------- T H R E A D --------------- Current thread (0x02f5a800): JavaThread "LWJGL Application" [_thread_in_native, id=3104, stack(0x076f0000,0x07740000)] siginfo: ExceptionCode=0xc0000096 Registers: EAX=0x000df4f0, EBX=0x32afc180, ECX=0x000df4f0, EDX=0x00000020 ESP=0x0773f768, EBP=0x0773f790, ESI=0x32afc180, EDI=0x02f5a800 EIP=0x02f5a92b, EFLAGS=0x00010206 Top of Stack: (sp=0x0773f768) 0x0773f768: 02bd429c 02bd429c 0773f770 32afc180 0x0773f778: 0773f7b8 32b022c8 00000000 32afc180 0x0773f788: 00000000 0773f7a0 0773f7dc 00943187 0x0773f798: 229ec1c0 00948839 69081736 00000000 0x0773f7a8: 089b0048 00000000 00000014 00001406 0x0773f7b8: 00000002 0773f7bc 32afbeb0 0773f7f8 0x0773f7c8: 32b022c8 00000000 32afbf00 0773f7a0 0x0773f7d8: 0773f7f0 0773f81c 00943187 69081736 Instructions: (pc=0x02f5a92b) 0x02f5a90b: 00 43 00 00 00 00 f0 bc 02 e8 00 e9 22 40 f7 73 0x02f5a91b: 07 85 a5 94 00 90 f7 73 07 50 cc a0 6d d8 49 c0 0x02f5a92b: 6d 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 0x02f5a93b: 00 00 00 00 00 00 00 00 00 08 80 3d 37 00 00 00 Register to memory mapping: EAX=0x000df4f0 is an unknown value EBX=0x32afc180 is an oop {method} - klass: {other class} ECX=0x000df4f0 is an unknown value EDX=0x00000020 is an unknown value ESP=0x0773f768 is pointing into the stack for thread: 0x02f5a800 EBP=0x0773f790 is pointing into the stack for thread: 0x02f5a800 ESI=0x32afc180 is an oop {method} - klass: {other class} EDI=0x02f5a800 is a thread Stack: [0x076f0000,0x07740000], sp=0x0773f768, free space=317k Native frames: (J=compiled Java code, j=interpreted, Vv=VM code, C=native code) C 0x02f5a92b j org.lwjgl.opengl.GL11.glVertexPointer(IILjava/nio/FloatBuffer;)V+48 j com.badlogic.gdx.backends.lwjgl.LwjglGL10.glVertexPointer(IIILjava/nio/Buffer;)V+53 j com.badlogic.gdx.graphics.glutils.VertexArray.bind()V+149 j com.badlogic.gdx.graphics.Mesh.bind()V+25 j com.badlogic.gdx.graphics.Mesh.render(IIIZ)V+32 j com.badlogic.gdx.graphics.Mesh.render(III)V+8 j com.badlogic.gdx.graphics.g2d.SpriteBatch.flush()V+197 j com.badlogic.gdx.graphics.g2d.SpriteBatch.switchTexture(Lcom/badlogic/gdx/graphics/Texture;)V+1 j com.badlogic.gdx.graphics.g2d.SpriteBatch.draw(Lcom/badlogic/gdx/graphics/Texture;FFFF)V+33 j sevenseas.game.WorldRenderer.drawBob()V+54 j sevenseas.game.WorldRenderer.render()V+12 j sevenseas.game.GameClass.render(F)V+38 j com.badlogic.gdx.Game.render()V+19 j com.badlogic.gdx.backends.lwjgl.LwjglApplication.mainLoop()V+642 j com.badlogic.gdx.backends.lwjgl.LwjglApplication$1.run()V+27 v ~StubRoutines::call_stub V [jvm.dll+0x122c7e] V [jvm.dll+0x1c9c0e] V [jvm.dll+0x122e73] V [jvm.dll+0x122ed7] V [jvm.dll+0xccd1f] V [jvm.dll+0x14433f] V [jvm.dll+0x171549] C [msvcr100.dll+0x5c6de] endthreadex+0x3a C [msvcr100.dll+0x5c788] endthreadex+0xe4 C [kernel32.dll+0xb713] GetModuleFileNameA+0x1b4 Java frames: (J=compiled Java code, j=interpreted, Vv=VM code) j org.lwjgl.opengl.GL11.nglVertexPointer(IIIJJ)V+0 j org.lwjgl.opengl.GL11.glVertexPointer(IILjava/nio/FloatBuffer;)V+48 j com.badlogic.gdx.backends.lwjgl.LwjglGL10.glVertexPointer(IIILjava/nio/Buffer;)V+53 j com.badlogic.gdx.graphics.glutils.VertexArray.bind()V+149 j com.badlogic.gdx.graphics.Mesh.bind()V+25 j com.badlogic.gdx.graphics.Mesh.render(IIIZ)V+32 j com.badlogic.gdx.graphics.Mesh.render(III)V+8 j com.badlogic.gdx.graphics.g2d.SpriteBatch.flush()V+197 j com.badlogic.gdx.graphics.g2d.SpriteBatch.switchTexture(Lcom/badlogic/gdx/graphics/Texture;)V+1 j com.badlogic.gdx.graphics.g2d.SpriteBatch.draw(Lcom/badlogic/gdx/graphics/Texture;FFFF)V+33 j sevenseas.game.WorldRenderer.drawBob()V+54 j sevenseas.game.WorldRenderer.render()V+12 j sevenseas.game.GameClass.render(F)V+38 j com.badlogic.gdx.Game.render()V+19 j com.badlogic.gdx.backends.lwjgl.LwjglApplication.mainLoop()V+642 j com.badlogic.gdx.backends.lwjgl.LwjglApplication$1.run()V+27 v ~StubRoutines::call_stub --------------- P R O C E S S --------------- Java Threads: ( => current thread ) 0x003d6c00 JavaThread "DestroyJavaVM" [_thread_blocked, id=3240, stack(0x008c0000,0x00910000)] =>0x02f5a800 JavaThread "LWJGL Application" [_thread_in_native, id=3104, stack(0x076f0000,0x07740000)] 0x02bcf000 JavaThread "Service Thread" daemon [_thread_blocked, id=2612, stack(0x02e00000,0x02e50000)] 0x02bc1000 JavaThread "C1 CompilerThread0" daemon [_thread_blocked, id=2776, stack(0x02db0000,0x02e00000)] 0x02bbf400 JavaThread "Attach Listener" daemon [_thread_blocked, id=2448, stack(0x02d60000,0x02db0000)] 0x02bbe000 JavaThread "Signal Dispatcher" daemon [_thread_blocked, id=1764, stack(0x02d10000,0x02d60000)] 0x02bb8000 JavaThread "Finalizer" daemon [_thread_blocked, id=3864, stack(0x02cc0000,0x02d10000)] 0x02bb3400 JavaThread "Reference Handler" daemon [_thread_blocked, id=2424, stack(0x02c70000,0x02cc0000)] Other Threads: 0x02bb1800 VMThread [stack: 0x02c20000,0x02c70000] [id=3076] 0x02bd1000 WatcherThread [stack: 0x02e50000,0x02ea0000] [id=3276] VM state:not at safepoint (normal execution) VM Mutex/Monitor currently owned by a thread: None Heap def new generation total 4928K, used 2571K [0x229c0000, 0x22f10000, 0x27f10000) eden space 4416K, 46% used [0x229c0000, 0x22bc2e38, 0x22e10000) from space 512K, 100% used [0x22e90000, 0x22f10000, 0x22f10000) to space 512K, 0% used [0x22e10000, 0x22e10000, 0x22e90000) tenured generation total 10944K, used 634K [0x27f10000, 0x289c0000, 0x329c0000) the space 10944K, 5% used [0x27f10000, 0x27faea60, 0x27faec00, 0x289c0000) compacting perm gen total 12288K, used 1655K [0x329c0000, 0x335c0000, 0x369c0000) the space 12288K, 13% used [0x329c0000, 0x32b5dc58, 0x32b5de00, 0x335c0000) ro space 10240K, 42% used [0x369c0000, 0x36dfc660, 0x36dfc800, 0x373c0000) rw space 12288K, 53% used [0x373c0000, 0x37a38180, 0x37a38200, 0x37fc0000) Code Cache [0x00940000, 0x009d8000, 0x02940000) total_blobs=305 nmethods=80 adapters=158 free_code_cache=32183Kb largest_free_block=32955904 Dynamic libraries: 0x00400000 - 0x0042f000 C:\Program Files\Java\jre7\bin\javaw.exe 0x7c900000 - 0x7c9af000 C:\WINDOWS\system32\ntdll.dll 0x7c800000 - 0x7c8f6000 C:\WINDOWS\system32\kernel32.dll 0x77dd0000 - 0x77e6b000 C:\WINDOWS\system32\ADVAPI32.dll 0x77e70000 - 0x77f02000 C:\WINDOWS\system32\RPCRT4.dll 0x77fe0000 - 0x77ff1000 C:\WINDOWS\system32\Secur32.dll 0x7e410000 - 0x7e4a1000 C:\WINDOWS\system32\USER32.dll 0x77f10000 - 0x77f59000 C:\WINDOWS\system32\GDI32.dll 0x773d0000 - 0x774d3000 C:\WINDOWS\WinSxS\x86_Microsoft.Windows.Common-Controls_6595b64144ccf1df_6.0.2600.5512_x-ww_35d4ce83\COMCTL32.dll 0x77c10000 - 0x77c68000 C:\WINDOWS\system32\msvcrt.dll 0x77f60000 - 0x77fd6000 C:\WINDOWS\system32\SHLWAPI.dll 0x76390000 - 0x763ad000 C:\WINDOWS\system32\IMM32.DLL 0x629c0000 - 0x629c9000 C:\WINDOWS\system32\LPK.DLL 0x74d90000 - 0x74dfb000 C:\WINDOWS\system32\USP10.dll 0x78aa0000 - 0x78b5e000 C:\Program Files\Java\jre7\bin\msvcr100.dll 0x6d940000 - 0x6dc61000 C:\Program Files\Java\jre7\bin\client\jvm.dll 0x71ad0000 - 0x71ad9000 C:\WINDOWS\system32\WSOCK32.dll 0x71ab0000 - 0x71ac7000 C:\WINDOWS\system32\WS2_32.dll 0x71aa0000 - 0x71aa8000 C:\WINDOWS\system32\WS2HELP.dll 0x76b40000 - 0x76b6d000 C:\WINDOWS\system32\WINMM.dll 0x76bf0000 - 0x76bfb000 C:\WINDOWS\system32\PSAPI.DLL 0x6d8d0000 - 0x6d8dc000 C:\Program Files\Java\jre7\bin\verify.dll 0x6d370000 - 0x6d390000 C:\Program Files\Java\jre7\bin\java.dll 0x6d920000 - 0x6d933000 C:\Program Files\Java\jre7\bin\zip.dll 0x6cec0000 - 0x6cf42000 C:\Documents and Settings\7stl0225\Local Settings\Temp\libgdx7stl0225\37fe1abc\gdx.dll 0x10000000 - 0x1004c000 C:\Documents and Settings\7stl0225\Local Settings\Temp\libgdx7stl0225\52d76f2b\lwjgl.dll 0x5ed00000 - 0x5edcc000 C:\WINDOWS\system32\OPENGL32.dll 0x68b20000 - 0x68b40000 C:\WINDOWS\system32\GLU32.dll 0x73760000 - 0x737ab000 C:\WINDOWS\system32\DDRAW.dll 0x73bc0000 - 0x73bc6000 C:\WINDOWS\system32\DCIMAN32.dll 0x77c00000 - 0x77c08000 C:\WINDOWS\system32\VERSION.dll 0x070b0000 - 0x07115000 C:\DOCUME~1\7stl0225\LOCALS~1\Temp\libgdx7stl0225\52d76f2b\OpenAL32.dll 0x7c9c0000 - 0x7d1d7000 C:\WINDOWS\system32\SHELL32.dll 0x774e0000 - 0x7761d000 C:\WINDOWS\system32\ole32.dll 0x5ad70000 - 0x5ada8000 C:\WINDOWS\system32\uxtheme.dll 0x76fd0000 - 0x7704f000 C:\WINDOWS\system32\CLBCATQ.DLL 0x77050000 - 0x77115000 C:\WINDOWS\system32\COMRes.dll 0x77120000 - 0x771ab000 C:\WINDOWS\system32\OLEAUT32.dll 0x73f10000 - 0x73f6c000 C:\WINDOWS\system32\dsound.dll 0x76c30000 - 0x76c5e000 C:\WINDOWS\system32\WINTRUST.dll 0x77a80000 - 0x77b15000 C:\WINDOWS\system32\CRYPT32.dll 0x77b20000 - 0x77b32000 C:\WINDOWS\system32\MSASN1.dll 0x76c90000 - 0x76cb8000 C:\WINDOWS\system32\IMAGEHLP.dll 0x72d20000 - 0x72d29000 C:\WINDOWS\system32\wdmaud.drv 0x72d10000 - 0x72d18000 C:\WINDOWS\system32\msacm32.drv 0x77be0000 - 0x77bf5000 C:\WINDOWS\system32\MSACM32.dll 0x77bd0000 - 0x77bd7000 C:\WINDOWS\system32\midimap.dll 0x73ee0000 - 0x73ee4000 C:\WINDOWS\system32\KsUser.dll 0x755c0000 - 0x755ee000 C:\WINDOWS\system32\msctfime.ime 0x69000000 - 0x691a9000 C:\WINDOWS\system32\sisgl.dll 0x73b30000 - 0x73b45000 C:\WINDOWS\system32\mscms.dll 0x73000000 - 0x73026000 C:\WINDOWS\system32\WINSPOOL.DRV 0x66e90000 - 0x66ed1000 C:\WINDOWS\system32\icm32.dll 0x07760000 - 0x0778d000 C:\Program Files\WordWeb\WHook.dll 0x74c80000 - 0x74cac000 C:\WINDOWS\system32\OLEACC.dll 0x76080000 - 0x760e5000 C:\WINDOWS\system32\MSVCP60.dll VM Arguments: jvm_args: -Dfile.encoding=Cp1252 java_command: sevenseas.game.MainDesktop Launcher Type: SUN_STANDARD Environment Variables: PATH=C:/Program Files/Java/jre7/bin/client;C:/Program Files/Java/jre7/bin;C:/Program Files/Java/jre7/lib/i386;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\Program Files\Java\jdk1.7.0\bin;C:\eclipse; USERNAME=7stl0225 OS=Windows_NT PROCESSOR_IDENTIFIER=x86 Family 15 Model 4 Stepping 1, GenuineIntel --------------- S Y S T E M --------------- OS: Windows XP Build 2600 Service Pack 3 CPU:total 1 (1 cores per cpu, 1 threads per core) family 15 model 4 stepping 1, cmov, cx8, fxsr, mmx, sse, sse2, sse3 Memory: 4k page, physical 2031088k(939252k free), swap 3969920k(3011396k free) vm_info: Java HotSpot(TM) Client VM (21.0-b17) for windows-x86 JRE (1.7.0-b147), built on Jun 27 2011 02:25:52 by "java_re" with unknown MS VC++:1600 time: Sat Oct 26 12:35:14 2013 elapsed time: 0 seconds

    Read the article

  • Improved Performance on PeopleSoft Combined Benchmark using SPARC T4-4

    - by Brian
    Oracle's SPARC T4-4 server running Oracle's PeopleSoft HCM 9.1 combined online and batch benchmark achieved a world record 18,000 concurrent users experiencing subsecond response time while executing a PeopleSoft Payroll batch job of 500,000 employees in 32.4 minutes. This result was obtained with a SPARC T4-4 server running Oracle Database 11g Release 2, a SPARC T4-4 server running PeopleSoft HCM 9.1 application server and a SPARC T4-2 server running Oracle WebLogic Server in the web tier. The SPARC T4-4 server running the application tier used Oracle Solaris Zones which provide a flexible, scalable and manageable virtualization environment. The average CPU utilization on the SPARC T4-2 server in the web tier was 17%, on the SPARC T4-4 server in the application tier it was 59%, and on the SPARC T4-4 server in the database tier was 47% (online and batch) leaving significant headroom for additional processing across the three tiers. The SPARC T4-4 server used for the database tier hosted Oracle Database 11g Release 2 using Oracle Automatic Storage Management (ASM) for database files management with I/O performance equivalent to raw devices. Performance Landscape Results are presented for the PeopleSoft HRMS Self-Service and Payroll combined benchmark. The new result with 128 streams shows significant improvement in the payroll batch processing time with little impact on the self-service component response time. PeopleSoft HRMS Self-Service and Payroll Benchmark Systems Users Ave Response Search (sec) Ave Response Save (sec) Batch Time (min) Streams SPARC T4-2 (web) SPARC T4-4 (app) SPARC T4-4 (db) 18,000 0.988 0.539 32.4 128 SPARC T4-2 (web) SPARC T4-4 (app) SPARC T4-4 (db) 18,000 0.944 0.503 43.3 64 The following results are for the PeopleSoft HRMS Self-Service benchmark that was previous run. The results are not directly comparable with the combined results because they do not include the payroll component. PeopleSoft HRMS Self-Service 9.1 Benchmark Systems Users Ave Response Search (sec) Ave Response Save (sec) Batch Time (min) Streams SPARC T4-2 (web) SPARC T4-4 (app) 2x SPARC T4-2 (db) 18,000 1.048 0.742 N/A N/A The following results are for the PeopleSoft Payroll benchmark that was previous run. The results are not directly comparable with the combined results because they do not include the self-service component. PeopleSoft Payroll (N.A.) 9.1 - 500K Employees (7 Million SQL PayCalc, Unicode) Systems Users Ave Response Search (sec) Ave Response Save (sec) Batch Time (min) Streams SPARC T4-4 (db) N/A N/A N/A 30.84 96 Configuration Summary Application Configuration: 1 x SPARC T4-4 server with 4 x SPARC T4 processors, 3.0 GHz 512 GB memory Oracle Solaris 11 11/11 PeopleTools 8.52 PeopleSoft HCM 9.1 Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031 Java Platform, Standard Edition Development Kit 6 Update 32 Database Configuration: 1 x SPARC T4-4 server with 4 x SPARC T4 processors, 3.0 GHz 256 GB memory Oracle Solaris 11 11/11 Oracle Database 11g Release 2 PeopleTools 8.52 Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031 Micro Focus Server Express (COBOL v 5.1.00) Web Tier Configuration: 1 x SPARC T4-2 server with 2 x SPARC T4 processors, 2.85 GHz 256 GB memory Oracle Solaris 11 11/11 PeopleTools 8.52 Oracle WebLogic Server 10.3.4 Java Platform, Standard Edition Development Kit 6 Update 32 Storage Configuration: 1 x Sun Server X2-4 as a COMSTAR head for data 4 x Intel Xeon X7550, 2.0 GHz 128 GB memory 1 x Sun Storage F5100 Flash Array (80 flash modules) 1 x Sun Storage F5100 Flash Array (40 flash modules) 1 x Sun Fire X4275 as a COMSTAR head for redo logs 12 x 2 TB SAS disks with Niwot Raid controller Benchmark Description This benchmark combines PeopleSoft HCM 9.1 HR Self Service online and PeopleSoft Payroll batch workloads to run on a unified database deployed on Oracle Database 11g Release 2. The PeopleSoft HRSS benchmark kit is a Oracle standard benchmark kit run by all platform vendors to measure the performance. It's an OLTP benchmark where DB SQLs are moderately complex. The results are certified by Oracle and a white paper is published. PeopleSoft HR SS defines a business transaction as a series of HTML pages that guide a user through a particular scenario. Users are defined as corporate Employees, Managers and HR administrators. The benchmark consist of 14 scenarios which emulate users performing typical HCM transactions such as viewing paycheck, promoting and hiring employees, updating employee profile and other typical HCM application transactions. All these transactions are well-defined in the PeopleSoft HR Self-Service 9.1 benchmark kit. This benchmark metric is the weighted average response search/save time for all the transactions. The PeopleSoft 9.1 Payroll (North America) benchmark demonstrates system performance for a range of processing volumes in a specific configuration. This workload represents large batch runs typical of a ERP environment during a mass update. The benchmark measures five application business process run times for a database representing large organization. They are Paysheet Creation, Payroll Calculation, Payroll Confirmation, Print Advice forms, and Create Direct Deposit File. The benchmark metric is the cumulative elapsed time taken to complete the Paysheet Creation, Payroll Calculation and Payroll Confirmation business application processes. The benchmark metrics are taken for each respective benchmark while running simultaneously on the same database back-end. Specifically, the payroll batch processes are started when the online workload reaches steady state (the maximum number of online users) and overlap with online transactions for the duration of the steady state. Key Points and Best Practices Two PeopleSoft Domain sets with 200 application servers each on a SPARC T4-4 server were hosted in 2 separate Oracle Solaris Zones to demonstrate consolidation of multiple application servers, ease of administration and performance tuning. Each Oracle Solaris Zone was bound to a separate processor set, each containing 15 cores (total 120 threads). The default set (1 core from first and third processor socket, total 16 threads) was used for network and disk interrupt handling. This was done to improve performance by reducing memory access latency by using the physical memory closest to the processors and offload I/O interrupt handling to default set threads, freeing up cpu resources for Application Servers threads and balancing application workload across 240 threads. A total of 128 PeopleSoft streams server processes where used on the database node to complete payroll batch job of 500,000 employees in 32.4 minutes. See Also Oracle PeopleSoft Benchmark White Papers oracle.com SPARC T4-2 Server oracle.com OTN SPARC T4-4 Server oracle.com OTN PeopleSoft Enterprise Human Capital Managementoracle.com OTN PeopleSoft Enterprise Human Capital Management (Payroll) oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 8 November 2012.

    Read the article

  • Dell Studio 1737 Overheating

    - by Sean
    I am using a Dell Studio 1737 laptop. I have been running Linux and have ran Windows recently for a very long time. I upgraded to the 10.10 distribution and since that distro, it seems that for some reason all Linuxes want to push my laptop to extremes. I have recently upgraded to Ubuntu 12.04 since I heart that it contains kernel fixes for overheating issues. 12.04 will actually eventually cool the system, but that is after the fans run to the point it sounds like a jet aircraft taking off and the laptop makes my hands sweat. In trying to combat the heat problems I have done the following: I installed the propriatery driver for my ATI Mobility HD 3600. I have tried both the one in the Additional Drivers and also tried ATI's latest greatest version. If I don't install this my laptop will overheat and shut off in minutes. Both seem to perform similarly, but the heat problem remains. I have tried limiting the CPU by installing the CPUFreq Indicator. This does help keep the machine from shutting off, but the heat is still uncomfortable to be around the machine. I usually run in power saver mode or run the cpu at 1.6 GHZ just to error on safety. I ran sensors-detect and here are the results: sean@sean-Studio-1737:~$ sudo sensors-detect # sensors-detect revision 5984 (2011-07-10 21:22:53 +0200) # System: Dell Inc. Studio 1737 (laptop) # Board: Dell Inc. 0F237N This program will help you determine which kernel modules you need to load to use lm_sensors most effectively. It is generally safe and recommended to accept the default answers to all questions, unless you know what you're doing. Some south bridges, CPUs or memory controllers contain embedded sensors. Do you want to scan for them? This is totally safe. (YES/no): y Module cpuid loaded successfully. Silicon Integrated Systems SIS5595... No VIA VT82C686 Integrated Sensors... No VIA VT8231 Integrated Sensors... No AMD K8 thermal sensors... No AMD Family 10h thermal sensors... No AMD Family 11h thermal sensors... No AMD Family 12h and 14h thermal sensors... No AMD Family 15h thermal sensors... No AMD Family 15h power sensors... No Intel digital thermal sensor... Success! (driver `coretemp') Intel AMB FB-DIMM thermal sensor... No VIA C7 thermal sensor... No VIA Nano thermal sensor... No Some Super I/O chips contain embedded sensors. We have to write to standard I/O ports to probe them. This is usually safe. Do you want to scan for Super I/O sensors? (YES/no): y Probing for Super-I/O at 0x2e/0x2f Trying family `National Semiconductor/ITE'... No Trying family `SMSC'... No Trying family `VIA/Winbond/Nuvoton/Fintek'... No Trying family `ITE'... No Probing for Super-I/O at 0x4e/0x4f Trying family `National Semiconductor/ITE'... Yes Found `ITE IT8512E/F/G Super IO' (but not activated) Some hardware monitoring chips are accessible through the ISA I/O ports. We have to write to arbitrary I/O ports to probe them. This is usually safe though. Yes, you do have ISA I/O ports even if you do not have any ISA slots! Do you want to scan the ISA I/O ports? (YES/no): y Probing for `National Semiconductor LM78' at 0x290... No Probing for `National Semiconductor LM79' at 0x290... No Probing for `Winbond W83781D' at 0x290... No Probing for `Winbond W83782D' at 0x290... No Lastly, we can probe the I2C/SMBus adapters for connected hardware monitoring devices. This is the most risky part, and while it works reasonably well on most systems, it has been reported to cause trouble on some systems. Do you want to probe the I2C/SMBus adapters now? (YES/no): y Using driver `i2c-i801' for device 0000:00:1f.3: Intel ICH9 Module i2c-i801 loaded successfully. Module i2c-dev loaded successfully. Now follows a summary of the probes I have just done. Just press ENTER to continue: Driver `coretemp': * Chip `Intel digital thermal sensor' (confidence: 9) To load everything that is needed, add this to /etc/modules: #----cut here---- # Chip drivers coretemp #----cut here---- If you have some drivers built into your kernel, the list above will contain too many modules. Skip the appropriate ones! Do you want to add these lines automatically to /etc/modules? (yes/NO)y Successful! Monitoring programs won't work until the needed modules are loaded. You may want to run 'service module-init-tools start' to load them. Unloading i2c-dev... OK Unloading i2c-i801... OK Unloading cpuid... OK sean@sean-Studio-1737:~$ sudo service module-init-tools start module-init-tools stop/waiting I also tried installing i8k but that didn't work since it didn't seem to be able to communicate with the hardware (probably for different kind of device). Also I ran acpi -V and here are the results: Battery 0: Full, 100% Battery 0: design capacity 613 mAh, last full capacity 260 mAh = 42% Adapter 0: on-line Thermal 0: ok, 49.0 degrees C Thermal 0: trip point 0 switches to mode critical at temperature 100.0 degrees C Thermal 1: ok, 48.0 degrees C Thermal 1: trip point 0 switches to mode critical at temperature 100.0 degrees C Thermal 2: ok, 51.0 degrees C Thermal 2: trip point 0 switches to mode critical at temperature 100.0 degrees C Cooling 0: LCD 0 of 15 Cooling 1: Processor 0 of 10 Cooling 2: Processor 0 of 10 I have hit a wall and don't know what to do now. Any advice is appreciated.

    Read the article

  • Das T5-4 TPC-H Ergebnis naeher betrachtet

    - by Stefan Hinker
    Inzwischen haben vermutlich viele das neue TPC-H Ergebnis der SPARC T5-4 gesehen, das am 7. Juni bei der TPC eingereicht wurde.  Die wesentlichen Punkte dieses Benchmarks wurden wie gewohnt bereits von unserer Benchmark-Truppe auf  "BestPerf" zusammengefasst.  Es gibt aber noch einiges mehr, das eine naehere Betrachtung lohnt. Skalierbarkeit Das TPC raet von einem Vergleich von TPC-H Ergebnissen in unterschiedlichen Groessenklassen ab.  Aber auch innerhalb der 3000GB-Klasse ist es interessant: SPARC T4-4 mit 4 CPUs (32 Cores mit 3.0 GHz) liefert 205,792 QphH. SPARC T5-4 mit 4 CPUs (64 Cores mit 3.6 GHz) liefert 409,721 QphH. Das heisst, es fehlen lediglich 1863 QphH oder 0.45% zu 100% Skalierbarkeit, wenn man davon ausgeht, dass die doppelte Anzahl Kerne das doppelte Ergebnis liefern sollte.  Etwas anspruchsvoller, koennte man natuerlich auch einen Faktor von 2.4 erwarten, wenn man die hoehere Taktrate mit beruecksichtigt.  Das wuerde die Latte auf 493901 QphH legen.  Dann waere die SPARC T5-4 bei 83%.  Damit stellt sich die Frage: Was hat hier nicht skaliert?  Vermutlich der Plattenspeicher!  Auch hier lohnt sich eine naehere Betrachtung: Plattenspeicher Im Bericht auf BestPerf und auch im Full Disclosure Report der TPC stehen einige interessante Details zum Plattenspeicher und der Konfiguration.   In der Konfiguration der SPARC T4-4 wurden 12 2540-M2 Arrays verwendet, die jeweils ca. 1.5 GB/s Durchsatz liefert, insgesamt also eta 18 GB/s.  Dabei waren die Arrays offensichtlich mit jeweils 2 Kabeln pro Array direkt an die 24 8GBit FC-Ports des Servers angeschlossen.  Mit den 2x 8GBit Ports pro Array koennte man so ein theoretisches Maximum von 2GB/s erreichen.  Tatsaechlich wurden 1.5GB/s geliefert, was so ziemlich dem realistischen Maximum entsprechen duerfte. Fuer den Lauf mit der SPARC T5-4 wurden doppelt so viele Platten verwendet.  Dafuer wurden die 2540-M2 Arrays mit je einem zusaetzlichen Plattentray erweitert.  Mit dieser Konfiguration wurde dann (laut BestPerf) ein Maximaldurchsatz von 33 GB/s erreicht - nicht ganz das doppelte des SPARC T4-4 Laufs.  Um tatsaechlich den doppelten Durchsatz (36 GB/s) zu liefern, haette jedes der 12 Arrays 3 GB/s ueber seine 4 8GBit Ports liefern muessen.  Im FDR stehen nur 12 dual-port FC HBAs, was die Verwendung der Brocade FC Switches erklaert: Es wurden alle 4 8GBit ports jedes Arrays an die Switches angeschlossen, die die Datenstroeme dann in die 24 16GBit HBA ports des Servers buendelten.  Das theoretische Maximum jedes Storage-Arrays waere nun 4 GB/s.  Wenn man jedoch den Protokoll- und "Realitaets"-Overhead mit einrechnet, sind die tatsaechlich gelieferten 2.75 GB/s gar nicht schlecht.  Mit diesen Zahlen im Hinterkopf ist die Verdopplung des SPARC T4-4 Ergebnisses eine gute Leistung - und gleichzeitig eine gute Erklaerung, warum nicht bis zum 2.4-fachen skaliert wurde. Nebenbei bemerkt: Weder die SPARC T4-4 noch die SPARC T5-4 hatten in der gemessenen Konfiguration irgendwelche Flash-Devices. Mitbewerb Seit die T4 Systeme auf dem Markt sind, bemuehen sich unsere Mitbewerber redlich darum, ueberall den Eindruck zu hinterlassen, die Leistung des SPARC CPU-Kerns waere weiterhin mangelhaft.  Auch scheinen sie ueberzeugt zu sein, dass (ueber)grosse Caches und hohe Taktraten die einzigen Schluessel zu echter Server Performance seien.  Wenn ich mir nun jedoch die oeffentlichen TPC-H Ergebnisse ansehe, sehe ich dies: TPC-H @3000GB, Non-Clustered Systems System QphH SPARC T5-4 3.6 GHz SPARC T5 4/64 – 2048 GB 409,721.8 SPARC T4-4 3.0 GHz SPARC T4 4/32 – 1024 GB 205,792.0 IBM Power 780 4.1 GHz POWER7 8/32 – 1024 GB 192,001.1 HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 8/64 – 512 GB 162,601.7 Kurz zusammengefasst: Mit 32 Kernen (mit 3 GHz und 4MB L3 Cache), liefert die SPARC T4-4 mehr QphH@3000GB ab als IBM mit ihrer 32 Kern Power7 (bei 4.1 GHz und 32MB L3 Cache) und auch mehr als HP mit einem 64 Kern Intel Xeon System (2.27 GHz und 24MB L3 Cache).  Ich frage mich, wo genau SPARC hier mangelhaft ist? Nun koennte man natuerlich argumentieren, dass beide Ergebnisse nicht gerade neu sind.  Nun, in Ermangelung neuerer Ergebnisse kann man ja mal ein wenig spekulieren: IBMs aktueller Performance Report listet die o.g. IBM Power 780 mit einem rPerf Wert von 425.5.  Ein passendes Nachfolgesystem mit Power7+ CPUs waere die Power 780+ mit 64 Kernen, verfuegbar mit 3.72 GHz.  Sie wird mit einem rPerf Wert von  690.1 angegeben, also 1.62x mehr.  Wenn man also annimmt, dass Plattenspeicher nicht der limitierende Faktor ist (IBM hat mit 177 SSDs getestet, sie duerfen das gerne auf 400 erhoehen) und IBMs eigene Leistungsabschaetzung zugrunde legt, darf man ein theoretisches Ergebnis von 311398 QphH@3000GB erwarten.  Das waere dann allerdings immer noch weit von dem Ergebnis der SPARC T5-4 entfernt, und gerade in der von IBM so geschaetzen "per core" Metric noch weniger vorteilhaft. In der x86-Welt sieht es nicht besser aus.  Leider gibt es von Intel keine so praktischen rPerf-Tabellen.  Daher muss ich hier fuer eine Schaetzung auf SPECint_rate2006 zurueckgreifen.  (Ich bin kein grosser Fan von solchen Kreuz- und Querschaetzungen.  Insb. SPECcpu ist nicht besonders geeignet, um Datenbank-Leistung abzuschaetzen, da fast kein IO im Spiel ist.)  Das o.g. HP System wird bei SPEC mit 1580 CINT2006_rate gelistet.  Das bis einschl. 2013-06-14 beste Resultat fuer den neuen Intel Xeon E7-4870 mit 8 CPUs ist 2180 CINT2006_rate.  Das ist immerhin 1.38x besser.  (Wenn man nur die Taktrate beruecksichtigen wuerde, waere man bei 1.32x.)  Hier weiter zu rechnen, ist muessig, aber fuer die ungeduldigen Leser hier eine kleine tabellarische Zusammenfassung: TPC-H @3000GB Performance Spekulationen System QphH* Verbesserung gegenueber der frueheren Generation SPARC T4-4 32 cores SPARC T4 205,792 2x SPARC T5-464 cores SPARC T5 409,721 IBM Power 780 32 cores Power7 192,001 1.62x IBM Power 780+ 64 cores Power7+  311,398* HP ProLiant DL980 G764 cores Intel Xeon X7560 162,601 1.38x HP ProLiant DL980 G780 cores Intel Xeon E7-4870    224,348* * Keine echten Resultate  - spekulative Werte auf der Grundlage von rPerf (Power7+) oder SPECint_rate2006 (HP) Natuerlich sind IBM oder HP herzlich eingeladen, diese Werte zu widerlegen.  Aber stand heute warte ich noch auf aktuelle Benchmark Veroffentlichungen in diesem Datensegment. Was koennen wir also zusammenfassen? Es gibt einige Hinweise, dass der Plattenspeicher der begrenzende Faktor war, der die SPARC T5-4 daran hinderte, auf jenseits von 2x zu skalieren Der Mythos, dass SPARC Kerne keine Leistung bringen, ist genau das - ein Mythos.  Wie sieht es umgekehrt eigentlich mit einem TPC-H Ergebnis fuer die Power7+ aus? Cache ist nicht der magische Performance-Schalter, fuer den ihn manche Leute offenbar halten. Ein System, eine CPU-Architektur und ein Betriebsystem jenseits einer gewissen Grenze zu skalieren ist schwer.  In der x86-Welt scheint es noch ein wenig schwerer zu sein. Was fehlt?  Nun, das Thema Preis/Leistung ueberlasse ich gerne den Verkaeufern ;-) Und zu guter Letzt: Nein, ich habe mich nicht ins Marketing versetzen lassen.  Aber manchmal kann ich mich einfach nicht zurueckhalten... Disclosure Statements The views expressed on this blog are my own and do not necessarily reflect the views of Oracle. TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org, results as of 6/7/13. Prices are in USD. SPARC T5-4 409,721.8 QphH@3000GB, $3.94/QphH@3000GB, available 9/24/13, 4 processors, 64 cores, 512 threads; SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads. SPEC and the benchmark names SPECfp and SPECint are registered trademarks of the Standard Performance Evaluation Corporation. Results as of June 18, 2013 from www.spec.org. HP ProLiant DL980 G7 (2.27 GHz, Intel Xeon X7560): 1580 SPECint_rate2006; HP ProLiant DL980 G7 (2.4 GHz, Intel Xeon E7-4870): 2180 SPECint_rate2006,

    Read the article

  • Tracing Silex from PHP to the OS with DTrace

    - by cj
    In this blog post I show the full stack tracing of Brendan Gregg's php_syscolors.d script in the DTrace Toolkit. The Toolkit contains a dozen very useful PHP DTrace scripts and many more scripts for other languages and the OS. For this example, I'll trace the PHP micro framework Silex, which was the topic of the second of two talks by Dustin Whittle at a recent SF PHP Meetup. His slides are at Silex: From Micro to Full Stack. Installing DTrace and PHP The php_syscolors.d script uses some static PHP probes and some kernel probes. For Oracle Linux I discussed installing DTrace and PHP in DTrace PHP Using Oracle Linux 'playground' Pre-Built Packages. On other platforms with DTrace support, follow your standard procedures to enable DTrace and load the correct providers. The sdt and systrace providers are required in addition to fasttrap. On Oracle Linux, I loaded the DTrace modules like: # modprobe fasttrap # modprobe sdt # modprobe systrace # chmod 666 /dev/dtrace/helper Installing the DTrace Toolkit I download DTraceToolkit-0.99.tar.gz and extracted it: $ tar -zxf DTraceToolkit-0.99.tar.gz The PHP scripts are in the Php directory and examples in the Examples directory. Installing Silex I downloaded the "fat" Silex .tgz file from the download page and extracted it: $ tar -zxf silex_fat.tgz I changed the demonstration silex/web/index.php so I could use the PHP development web server: <?php // web/index.php $filename = __DIR__.preg_replace('#(\?.*)$#', '', $_SERVER['REQUEST_URI']); if (php_sapi_name() === 'cli-server' && is_file($filename)) { return false; } require_once __DIR__.'/../vendor/autoload.php'; $app = new Silex\Application(); //$app['debug'] = true; $app->get('/hello', function() { return 'Hello!'; }); $app->run(); ?> Running DTrace The php_syscolors.d script uses the -Z option to dtrace, so it can be started before PHP, i.e. when there are zero of the requested probes available to be traced. I ran DTrace like: # cd DTraceToolkit-0.99/Php # ./php_syscolors.d Next, I started the PHP developer web server in a second terminal: $ cd silex $ php -S localhost:8080 -t web web/index.php At this point, the web server is idle, waiting for requests. DTrace is idle, waiting for the probes in php_syscolors.d to be fired, at which time the action associated with each probe will run. I then loaded the demonstration page in a browser: http://localhost:8080/hello When the request was fulfilled and the simple output of "Hello" was displayed, I ^C'd php and dtrace in their terminals to stop them. DTrace output over a thousand lines long had been generated. Here is one snippet from when run() was invoked: C PID/TID DELTA(us) FILE:LINE TYPE -- NAME ... 1 4765/4765 21 Application.php:487 func -> run 1 4765/4765 29 ClassLoader.php:182 func -> loadClass 1 4765/4765 17 ClassLoader.php:198 func -> findFile 1 4765/4765 31 ":- syscall -> access 1 4765/4765 26 ":- syscall <- access 1 4765/4765 16 ClassLoader.php:198 func <- findFile 1 4765/4765 25 ":- syscall -> newlstat 1 4765/4765 15 ":- syscall <- newlstat 1 4765/4765 13 ":- syscall -> newlstat 1 4765/4765 13 ":- syscall <- newlstat 1 4765/4765 22 ":- syscall -> newlstat 1 4765/4765 14 ":- syscall <- newlstat 1 4765/4765 15 ":- syscall -> newlstat 1 4765/4765 60 ":- syscall <- newlstat 1 4765/4765 13 ":- syscall -> newlstat 1 4765/4765 13 ":- syscall <- newlstat 1 4765/4765 20 ":- syscall -> open 1 4765/4765 16 ":- syscall <- open 1 4765/4765 26 ":- syscall -> newfstat 1 4765/4765 12 ":- syscall <- newfstat 1 4765/4765 17 ":- syscall -> newfstat 1 4765/4765 12 ":- syscall <- newfstat 1 4765/4765 12 ":- syscall -> newfstat 1 4765/4765 12 ":- syscall <- newfstat 1 4765/4765 20 ":- syscall -> mmap 1 4765/4765 14 ":- syscall <- mmap 1 4765/4765 3201 ":- syscall -> mmap 1 4765/4765 27 ":- syscall <- mmap 1 4765/4765 1233 ":- syscall -> munmap 1 4765/4765 53 ":- syscall <- munmap 1 4765/4765 15 ":- syscall -> close 1 4765/4765 13 ":- syscall <- close 1 4765/4765 34 Request.php:32 func -> main 1 4765/4765 22 Request.php:32 func <- main 1 4765/4765 31 ClassLoader.php:182 func <- loadClass 1 4765/4765 33 Request.php:249 func -> createFromGlobals 1 4765/4765 29 Request.php:198 func -> __construct 1 4765/4765 24 Request.php:218 func -> initialize 1 4765/4765 26 ClassLoader.php:182 func -> loadClass 1 4765/4765 89 ClassLoader.php:198 func -> findFile 1 4765/4765 43 ":- syscall -> access ... The output shows PHP functions being called and returning (and where they are located) and which system calls the PHP functions in turn invoked. The time each line took from the previous one is displayed in the third column. The first column is the CPU number. In this example, the process was always on CPU 1 so the output is naturally ordered without requiring post-processing, or the D script requiring to be modified to display a time stamp. On a terminal, the output of php_syscolors.d is color-coded according to whether each function is a PHP or system one, hence the file name. Summary With one tool, I was able to trace the interaction of a user application with the operating system. I was able to do this to an application running "live" in a web context. The DTrace Toolkit provides a very handy repository of DTrace information. Even though the PHP scripts were created in the time frame of the original PHP DTrace PECL extension, which only had PHP function entry and return probes, the scripts provide core examples for custom investigation and resolution scripts. You can easily adapt the ideas and and create scripts using the other PHP static probes, which are listed in the PHP Manual. Because DTrace is "always on", you can take advantage of it to resolve development questions or fix production situations.

    Read the article

  • Checking who is connected to your server, with PowerShell.

    - by Fatherjack
    There are many occasions when, as a DBA, you want to see who is connected to your SQL Server, along with how they are connecting and what sort of activities they are carrying out. I’m going to look at a couple of ways of getting this information and compare the effort required and the results achieved of each. SQL Server comes with a couple of stored procedures to help with this sort of task – sp_who and its undocumented counterpart sp_who2. There is also the pumped up version of these called sp_whoisactive, written by Adam Machanic which does way more than these procedures. I wholly recommend you try it out if you don’t already know how it works. When it comes to serious interrogation of your SQL Server activity then it is absolutely indispensable. Anyway, back to the point of this blog, we are going to look at getting the information from sp_who2 for a remote server. I wrote this Powershell script a week or so ago and was quietly happy with it for a while. I’m relatively new to Powershell so forgive both my rather low threshold for entertainment and the fact that something so simple is a moderate achievement for me. $Server = 'SERVERNAME' $SMOServer = New-Object Microsoft.SQLServer.Management.SMO.Server $Server # connection and query stuff         $ConnectionStr = "Server=$Server;Database=Master;Integrated Security=True" $Query = "EXEC sp_who2" $Connection = new-object system.Data.SQLClient.SQLConnection $Table = new-object "System.Data.DataTable" $Connection.connectionstring = $ConnectionStr try{ $Connection.open() $Command = $Connection.CreateCommand() $Command.commandtext = $Query $result = $Command.ExecuteReader() $Table.Load($result) } catch{ # Show error $error[0] | format-list -Force } $Title = "Data access processes (" + $Table.Rows.Count + ")" $Table | Out-GridView -Title $Title $Connection.close() So this is pretty straightforward, create an SMO object that represents our chosen server, define a connection to the database and a table object for the results when we get them, execute our query over the connection, load the results into our table object and then, if everything is error free display these results to the PowerShell grid viewer. The query simply gets the results of ‘EXEC sp_who2′ for us. Depending on how many connections there are will influence how long the query runs. The grid viewer lets me sort and search the results so it can be a pretty handy way to locate troublesome connections. Like I say, I was quite pleased with this, it seems a pretty simple script and was working well for me, I have added a few parameters to control the output and give me more specific details but then I see a script that uses the $SMOServer object itself to provide the process information and saves having to define the connection object and query specifications. $Server = 'SERVERNAME' $SMOServer = New-Object Microsoft.SQLServer.Management.SMO.Server $Server $Processes = $SMOServer.EnumProcesses() $Title = "SMO processes (" + $Processes.Rows.Count + ")" $Processes | Out-GridView -Title $Title Create the SMO object of our server and then call the EnumProcesses method to get all the process information from the server. Staggeringly simple! The results are a little different though. Some columns are the same and we can see the same basic information so my first thought was to which runs faster – so that I can get my results more quickly and also so that I place less stress on my server(s). PowerShell comes with a great way of testing this – the Measure-Command function. All you have to do is wrap your piece of code in Measure-Command {[your code here]} and it will spit out the time taken to execute the code. So, I placed both of the above methods of getting SQL Server process connections in two Measure-Command wrappers and pressed F5! The Powershell console goes blank for a while as the code is executed internally when Measure-Command is used but the grid viewer windows appear and the console shows this. You can take the output from Measure-Command and format it for easier reading but in a simple comparison like this we can simply cross refer the TotalMilliseconds values from the two result sets to see how the two methods performed. The query execution method (running EXEC sp_who2 ) is the first set of timings and the SMO EnumProcesses is the second. I have run these on a variety of servers and while the results vary from execution to execution I have never seen the SMO version slower than the other. The difference has varied and the time for both has ranged from sub-second as we see above to almost 5 seconds on other systems. This difference, I would suggest is partly due to the cost overhead of having to construct the data connection and so on where as the SMO EnumProcesses method has the connection to the server already in place and just needs to call back the process information. There is also the difference in the data sets to consider. Let’s take a look at what we get and where the two methods differ Query execution method (sp_who2) SMO EnumProcesses Description - Urn What looks like an XML or JSON representation of the server name and the process ID SPID Spid The process ID Status Status The status of the process Login Login The login name of the user executing the command HostName Host The name of the computer where the  process originated BlkBy BlockingSpid The SPID of a process that is blocking this one DBName Database The database that this process is connected to Command Command The type of command that is executing CPUTime Cpu The CPU activity related to this process DiskIO - The Disk IO activity related to this process LastBatch - The time the last batch was executed from this process. ProgramName Program The application that is facilitating the process connection to the SQL Server. SPID1 - In my experience this is always the same value as SPID. REQUESTID - In my experience this is always 0 - Name In my experience this is always the same value as SPID and so could be seen as analogous to SPID1 from sp_who2 - MemUsage An indication of the memory used by this process but I don’t know what it is measured in (bytes, Kb, Mb…) - IsSystem True or False depending on whether the process is internal to the SQL Server instance or has been created by an external connection requesting data. - ExecutionContextID In my experience this is always 0 so could be analogous to REQUESTID from sp_who2. Please note, these are my own very brief descriptions of these columns, detail can be found from MSDN for columns in the sp_who results here http://msdn.microsoft.com/en-GB/library/ms174313.aspx. Where the columns are common then I would use that description, in other cases then the information returned is purely for interpretation by the reader. Rather annoyingly both result sets have useful information that the other doesn’t. sp_who2 returns Disk IO and LastBatch information which is really useful but the SMO processes method give you IsSystem and MemUsage which have their place in fault diagnosis methods too. So which is better? On reflection I think I prefer to use the sp_who2 method primarily but knowing that the SMO Enumprocesses method is there when I need it is really useful and I’m sure I’ll use it regularly. I’m OK with the fact that it is the slower method because Measure-Command has shown me how close it is to the other option and that it really isn’t a large enough margin to matter.

    Read the article

  • First PC Build (Part 1)

    - by Anthony Trudeau
    Originally posted on: http://geekswithblogs.net/tonyt/archive/2014/08/05/157959.aspxA couple of months ago I made the decision to build myself a new computer. The intended use is gaming and for using the last real version of Photoshop. I was motivated by the poor state of console gaming and a simple desire to do something I haven’t done before – build a PC from the ground up. I’ve been using PCs for more than two decades. I’ve replaced a component hear and there, but for the last 10 years or so I’ve only used laptops. Therefore, this article will be written from the perspective of someone familiar with PCs, but completely new at building. I’m not an expert and this is not a definitive guide for building a PC, but I do hope that it encourages you to try it yourself. Component List Research There was a lot of research necessary, because building a PC is completely new to me, and I haven’t kept up with what’s out there. The first thing you want to do is nail down what your goals are. Your goals are going to be driven by what you want to do with your computer and personal choice. Don’t neglect the second one, because if you’re doing this for fun you want to get what you want. In my case, I focused on three things: performance, longevity, and aesthetics. The performance aspect is important for gaming and Photoshop. This will drive what components you get. For example, heavy gaming use is going to drive your choice of graphics card. Longevity is relevant to me, because I don’t want to be changing things out anytime soon for the next hot game. The consequence of performance and longevity is cost. Finally, aesthetics was my next consideration. I could have just built a box, but it wouldn’t have been nearly as fun for me. Aesthetics might not be important to you. They are for me. I also like gadgets and that played into at least one purchase for this build. I used PC Part Picker to put together my component list. I found it invaluable during the process and I’d recommend it to everyone. One caveat is that I wouldn’t trust the compatibility aspects. It does a pretty good job of not steering you wrong, but do your own research. The rest of it isn’t really sexy. I started out with what appealed to me and then I made changes and additions as I dived deep into researching each component and interaction I could find. The resources I used are innumerable. I used reviews, product descriptions, forum posts (praises and problems), et al. to assist me. I also asked friends into gaming what they thought about my component list. And when I got near the end I posted my list to the Reddit /r/buildapc forum. I cannot stress the value of extra sets of eyeballs and first hand experiences. Some of the resources I used: PC Part Picker Tom’s Hardware bit-tech Reddit Purchase PC Part Picker favors certain vendors. You should look at others too. In my case I found their favorites to be the best. My priorities were out-the-door price and shipping time. I knew that once I started getting parts I’d want to start building. Luckily, I timed it well and everything arrived within the span of a few days. Here are my opinions on the vendors I ended up using in alphabetical order. Amazon.com is a good, reliable choice. They have excellent customer service in my experience, and I knew I wouldn’t have trouble with them. However, shipping time is often a problem when you use their free shipping unless you order expensive items (I’ve found items over $100 ship quickly). Ultimately though, price wasn’t always the best and their collection of sales tax in my state turned me off them. I did purchase my case from them. I ordered the mouse as well, but I cancelled after it was stuck four days in a “shipping soon” state. I purchased the mouse locally. Best Buy is not my favorite place to do business. There’s a lot of history with poor, uninterested sales representatives and they used to have a lot of bad anti-consumer policies. That’s a lot better now, but the bad taste is still in my mouth. I ended up purchasing the accessories from them including mouse (locally) and headphones. NCIX is a company that I’ve never heard of before. It popped up as a recommendation for my CPU cooler on PC Part Picker. I didn’t do a lot of research on the company, because their policy on you buying insurance for your orders turned me off. That policy makes it clear to me that the company finds me responsible for the shipment once it leaves their dock. That’s not right, and may run afoul of state laws. Regardless they shipped my CPU cooler quickly and I didn’t have a problem. NewEgg.com is a well known company. I had never done business with them, but I’m glad I did. They shipped quickly and provided good visibility over everything. The prices were also the best in most cases. My main complaint is that they have a lot of exchange only return policies on components. To their credit those policies are listed in the cart underneath each item. The visibility tells me that they’re not playing any shenanigans and made me comfortable dealing with that risk. The vast majority of what I ordered came from them. Coming Next In the next part I’ll tackle my build experience.

    Read the article

  • 'Certificate types are not available' When creating computer certificate?

    - by Anicho
    Environment Windows Server 2008 sp1 Xeon CPU E5430 @ 2.66 GHz 16.0 GB Ram 64-bit Operating System 1TB Disk Space Server Role: SQL Server Other Information: Joint to domain, Logged in user domain administrator Issue Steps that cause issue: Create a computer certificate using mmc snap-in 'certificates' by right clicking on 'Certificates' folder Under 'root\Personal' tree, and clicking All Tasks - Request New Certificate. Certificate Enrollment window appears, you verify you are connected to your network and you are logged onto the domain. Then Click Next, which leads to a window stating the issue: "Certificate types are not available" "You cannot request a certificate this time because no certificate types are available. If you need a certificate contact your administrator." Wanted Solution Create a certificate on this server, to implement SSL connection to MSSQL servers.

    Read the article

  • Windows update error code : 80244004

    - by Hamidreza
    I am using Windows 7 and ESET SMART SECURITY 5 . Today I wanted to update my computer using Windows Update but it does give me error : Error(s) found: Code 80244004        Windows Update encountered an unknown error. My System Info : Sony Vaio EA2gfx , Ram : 4GB DDR2 , CPU: Intel Core i 5 I checkd out this links but they didn't help : http://answers.microsoft.com/en-us/windows/forum/windows_7-windows_update/while-updating-i-am-getting-the-error-code/0b9b756c-5b6e-4571-838e-f90c48a4e00c https://www.calguns.net/calgunforum/showthread.php?t=583860 http://www.sevenforums.com/windows-updates-activation/235807-windows-update-error-80244004-a.html Please help me, thanks.

    Read the article

  • PHP/APC fatal error, apc_mmap: mmap failed

    - by Sudowned
    I'm seeing some intermittent CPU usage spikes to 100%, sort of correlated to these log entries: [27-Feb-2012 13:29:29] PHP Fatal error: PHP Startup: apc_mmap: mmap failed: in Unknown on line 0 [27-Feb-2012 13:29:30] PHP Fatal error: PHP Startup: apc_mmap: mmap failed: in Unknown on line 0 [27-Feb-2012 13:29:31] PHP Fatal error: PHP Startup: apc_mmap: mmap failed: in Unknown on line 0 [27-Feb-2012 13:29:31] PHP Fatal error: PHP Startup: apc_mmap: mmap failed: in Unknown on line 0 phpinfo() indicates that APC is set up, and as far as I can tell this error doesn't cause visible 500 errors on the live site, which is a WordPress install that gets about 600k views monthly. Google's been unhelpful so far, and I was hoping that someone here had some insight as to what's causing this and how to fix it. Curiously, this error only shows up /usr/local/apache2/logs/error_log and not the error_log for the cpanel-configured site.

    Read the article

  • Outlook Web Access: "Outlook Web Access has encountered a Web browsing error"

    - by Calum
    When one of my colleagues is accessing Outlook Web Access from IE, he frequently gets an error reported: "Outlook Web Access has encountered a Web browsing error". The error report includes the following: Client Information User Agent: Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; GTB5; SLCC1; .NET CLR 2.0.50727; .NET CLR 3.0.04506) CPU Class: x86 Platform: Win32 System Language: en-gb User Language: en-gb CookieEnabled: true Mime Types: Exception Details Date: Tue Apr 6 16:46:54 UTC+0100 2010 Message: Automation server can't create object Url: https://example.com/owa/x.y.z.a/scripts/premium/uglobal.js Line: 85 Any idea as to what might be causing such a problem? The only solution suggested so far is "Reinstall Windows", which he'd rather avoid.

    Read the article

  • What does 'Highest active time' for disk activity in Windows resource monitor mean?

    - by Nick R
    I know what the disk io, disk queue length and other measures are, but what does 'Highest active time' mean? Is it the amount of time it is busy handling requests, or something else? When it is high, does it mean the CPU is busy doing some IO work, or is it just indicating that the disk is busy handling requests? I'm trying to work out if 50% active time means that 50% of the time the disk is either seeking, reading or writing, rather than the kernel is spending 50% of it's time servicing IO requests. Edit Another quick data point here. If you look at the difference between an SSD and a physical disk, the SSD has significantly less activity, so I guess this really means the amount of time the operating system is waiting for the disk to respond and returning data.

    Read the article

  • HP D530 Startup Error: 512 - Chassis Fan Not Detected

    - by lyrikles
    I'm using the HP D530 Motherboard/CPU that I installed in a new case with a 600W PSU. There was a problem with the onboard chassis fan connector (3-wire) not supplying sufficient power to the chassis fan indicated by the fan spinning very slowly, but I never experienced the "512 Error" at boot. Also, the same fan works perfectly connected directly to the PSU. I disconnected it since I already have plenty of fans connected via the PSU directly. Since then, on startup, I get the error: "512 - Chassis Fan Not Detected" and am asked to "Press F1 to continue". This gets quite annoying since I use this machine remotely (w/ FreeNAS). What could be causing the onboard fan connector to not be giving enough power? If this is unable to be corrected, how can I make the BIOS think there's a chassis fan plugged in without actually plugging a fan into the onboard connector? Would it be possible to jumper the pins without damaging the motherboard or PSU? Thanks,Erik

    Read the article

  • Linux Server Performance Monitoring

    - by Jon
    I'm looking to monitor performance on my Linux servers (which happen to be Centos). What are the best tools for monitoring things in realtime such as: Disk Performance I/O, swapping etc.. CPU Performance Looking for low level tools, rather than web based tools such as Nagios, Ganglia etc... n.b. I'd like to know exactly what each tool does rather than just having a list of random toolnames if possible please. Why the tool is a better option than others would be good also.

    Read the article

  • Recommendation for PHP-FPM pm.max_children, PHP-FPM pm.start_servers and others

    - by jaypabs
    I have the following server: Intel® Xeon® E3-1270 v2 Single Processor - Quad Core Dedicated Server CPU Speed: 4 x 3.5 Ghz w/ 8MB Smart Cache Motherboard: SuperMicro X9SCM-F Total Cores: 4 Cores + 8 Threads RAM: 32 GB DDR3 1333 ECC Hard Drive: 120GB Smart Cache: 8MB I am using ubuntu 12.04 - nginx, php, mysql with ISPConfig 3. Under ISPConfig 3 website settings: I have this default value: PHP-FPM pm.max_children = 10 PHP-FPM pm.start_servers = 2 PHP-FPM pm.min_spare_servers = 1 PHP-FPM pm.max_spare_servers = 5 PHP-FPM pm.max_requests = 0 My question is what is the recommended settings for the above variable? Because I found some using a different settings.

    Read the article

  • Windows 7 Windows XP mode cannot run - it says "Require Hardware Assisted Virtualization"

    - by Jian Lin
    After installing the 2 files for Windows 7 Windows XP mode, the Start Menu now has Windows Virtual PC Windows XP Mode but clicking on the first merely brings out a folder, and clicking on the second brings out a dialog box that says: "Require Hardware Assisted Virtualization" Does that mean the machine cannot support Windows 7 Windows XP mode? I am running Win 7 Ultimate 64 bit edition. This is the dialog box: Update: the computer is an HP TouchSmart, with American Megatrends BIOS v02.61. I looked into the BIOS set up but it is quite simple and dosen't have something for "hardware assisted virtualization". The CPU is Intel Core 2 Duo T5750.

    Read the article

  • Nagios NRPE “No Output returned from plugin“ error

    - by user118074
    So I've just started configuring Nagios in my environment and I'm getting the above error when trying to user the NRPE plugin. The host file is as follows: define { host_name servername alias servername address xxx.xxx.xxx.xxx use generic-host } define service { use generic-service host_name servername service_description CPU load check_command check_nrpe!alias_cpu } This is the check_nrpe.cfg file that is located in /etc/nagios-plugins/config NOTE: this command runs a program $ARG1$ with arguments $ARG2$ define command { command_name check_nrpe command_line /usr/lib/nagios/plugins/check_nrpe -H $HOSTADDRESS$ -c $ARG1$ -a $ARG2$ } NOTE: this command runs a program $ARG1$ with no arguments define command { command_name check_nrpe_1arg command_line /usr/lib/nagios/plugins/check_nrpe -H $HOSTADDRESS$ -c $ARG1$ } Any ideas what is wrong or where to start to solve this?

    Read the article

  • DDR3 10600 memory running at 533mhz

    - by Elger
    I bought a second hand hp dl160 g6 a year ago with 48GB configured in it. I discovered checking with cpu-z and doublechecked with speccy the memory runs at only 533Mhz. I checked the configuration with the HP memory configurator and the banks are populated correctly for max performance. There are 12 banks populated with micron and hynix memory of 4gb, all capable of running 1333mhz. What could me wrong here? C:\Users\Administrator>wmic Memorychip get manufacturer, partnumber, speed, seri alnumber, devicelocator, banklabel BankLabel DeviceLocator Manufacturer PartNumber SerialNumber Speed BANK0 PROC 1 DIMM 3A Micron 36JSZF51272PZ1G4F C5DF65D7 1333 BANK1 PROC 1 DIMM 2D Micron 36JSZF51272PY1G4D 951565E0 1333 BANK3 PROC 1 DIMM 6B Micron 36JSZF51272PZ1G4F 3F3160D6 1333 BANK4 PROC 1 DIMM 5E Hyundai HMT151R7BFR4C-H9 E28A3014 1333 BANK6 PROC 1 DIMM 9C Micron 36JSZF51272PZ1G4F 26DF7E1A 1333 BANK7 PROC 1 DIMM 8F Micron 36JSZF51272PZ1G4G 77FC67D7 1333 BANK9 PROC 2 DIMM 3A Hyundai HMT151R7BFR4C-H9 FB763433 1333 BANK10 PROC 2 DIMM 2D Hyundai HMT151R7BFR4C-H9 E18AA014 1333 BANK12 PROC 2 DIMM 6B Hyundai HMT151R7BFR4C-H9 DF8A1014 1333 BANK13 PROC 2 DIMM 5E Hyundai HMT151R7BFR4C-H9 6968511A 1333 BANK15 PROC 2 DIMM 9C Hyundai HMT151R7BFR4C-H9 F28A7014 1333 BANK16 PROC 2 DIMM 8F Micron 36JSZF51272PZ1G4G 76FC67D7 1333

    Read the article

  • Can I use a 27" iMac as a additional monitor for another 27" iMac?

    - by Darren Newton
    I currently have a 27" iMac i7 with the 512mb ATI card. After looking at prices on other Apple displays it appears I can purchase another low-end 27" iMac (Core 2 Duo basic model) for less than a 30" display. 3 Part question: Can I easily use the lower-end iMac as an additional monitor to my higher end iMac? While I am using the lower-end iMac as an additional monitor can I still take advantage of its CPU to do things like run a webserver, compress video with Handbrake, etc? Are there any other 27" LCD displays with the same resolution (2560 x 1440) cheaper than the basic iMac (~$1699.00 US)? Any insights appreciated.

    Read the article

  • Session Cookies and IE 8

    - by Matt Luongo
    I recently built a simple web-app deployed over Tomcat. The app uses pretty standard session based security where a user who has logged in is given a session. Sessions work fine in Firefox and Chrome, but require the use of jsessionid in the URL for IE (tested 7 & 8), set to medium privacy. In IE 8, I tried to override cookie handling, setting "Allow all 3rd party cookies" and "Allow all session cookies"- no dice. However, when I run Tomcat on my local machine, IE accepts the cookie, and sessions work just fine. And now, for the HTTP headers. From Chrome, a logged in user gets a session GET http://devl:8080/testing/ HTTP/1.1 Host: devl:8080 Connection: keep-alive User-Agent: Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/532.5 (KHTML, like Gecko) Chrome/4.1.249.1036 Safari/532.5 Accept: application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,image/png,*/*;q=0.5 Accept-Encoding: gzip,deflate,sdch Accept-Language: en-US,en;q=0.8 Accept-Charset: ISO-8859-1,utf-8;q=0.7,*;q=0.3 HTTP/1.1 200 OK Server: Apache-Coyote/1.1 P3P: CP="NON CURa ADMa DEVa TAIa OUR BUS IND UNI COM NAV INT STA" Set-Cookie: JSESSIONID=9280023BCE2046F32B13C89130CBC397; Path=/testing Content-Type: text/html;charset=UTF-8 Content-Language: en-US Content-Length: 2450 Date: Fri, 26 Mar 2010 14:14:40 GMT GET http://devl:8080/testing/logout HTTP/1.1 Host: devl:8080 Connection: keep-alive User-Agent: Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/532.5 (KHTML, like Gecko) Chrome/4.1.249.1036 Safari/532.5 Referer: http://devl:8080/testing/ Accept: application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,image/png,*/*;q=0.5 Accept-Encoding: gzip,deflate,sdch Accept-Language: en-US,en;q=0.8 Accept-Charset: ISO-8859-1,utf-8;q=0.7,*;q=0.3 Cookie: JSESSIONID=9280023BCE2046F32B13C89130CBC397 ... From IE 8, with standard medium level security and privacy- GET http://devl:8080/testing/ HTTP/1.1 Accept: application/x-ms-application, image/jpeg, application/xaml+xml, image/gif, image/pjpeg, application/x-ms-xbap, */* Accept-Language: en-US User-Agent: Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; Win64; x64; Trident/4.0; .NET CLR 2.0.50727; SLCC2; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; MDDC; Tablet PC 2.0) UA-CPU: AMD64 Accept-Encoding: gzip, deflate Host: devl:8080 Connection: Keep-Alive HTTP/1.1 200 OK Server: Apache-Coyote/1.1 P3P: CP="NON CURa ADMa DEVa TAIa OUR BUS IND UNI COM NAV INT STA" Set-Cookie: JSESSIONID=192999F922D6E9C868314452726764BA; Path=/testing Content-Type: text/html;charset=UTF-8 Content-Language: en-US Content-Length: 2450 Date: Fri, 26 Mar 2010 14:32:34 GMT GET http://devl:8080/testing/logout HTTP/1.1 Accept: application/x-ms-application, image/jpeg, application/xaml+xml, image/gif, image/pjpeg, application/x-ms-xbap, */* Referer: http://devl:8080/testing/;jsessionid=6371A83EFE39A46997544F9146AA5CEA Accept-Language: en-US User-Agent: Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; Win64; x64; Trident/4.0; .NET CLR 2.0.50727; SLCC2; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; MDDC; Tablet PC 2.0) UA-CPU: AMD64 Accept-Encoding: gzip, deflate Connection: Keep-Alive Host: devl:8080 ... I thought it might be P3P, but on adding a compact policy, nothing changes. This is the standard Tomcat session, so I'm really surprised I haven't been able to find other people with the same problem so far. Anyone have any ideas?

    Read the article

  • Linux Server Performance Monitoring

    - by Jon
    I'm looking to monitor performance on my Linux servers (which happen to be Centos). What are the best tools for monitoring things in realtime such as: Disk Performance I/O, swapping etc.. CPU Performance Looking for low level tools, rather than web based tools such as Nagios, Ganglia etc... n.b. I'd like to know exactly what each tool does rather than just having a list of random toolnames if possible please. Why the tool is a better option than others would be good also.

    Read the article

  • HP-UX (PA-RISC|Itanium) virtualisation on (x86-64|x86)

    - by Oleksandr Bolotov
    I'm looking for a way to run HP-UX (for educational purposes), but I don't have HP hardware right now. These options are not very suitable for me: HP TestDrive program - Looks like it was discontinued 2 years ago. Ski - looks like only CPU emulator. Is it worth trying? HPPAQEMU - Patch for old Qemu for HPPA-Linux guest-OS only. Is it worth trying? hp-ux Aires - I don't need to visualize HP-PA on HP-Itanium. That question is about using HP-UX without HP hardware.

    Read the article

< Previous Page | 122 123 124 125 126 127 128 129 130 131 132 133  | Next Page >