Search Results

Search found 14292 results on 572 pages for 'high integrity systems'.

Page 4/572 | < Previous Page | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >

• High availability for Windows Service under Windows Server 2003

  - by empi

  Hi. I have a following situation: I need to deploy a windows service that listens for incoming request on tcp port (basically WCF service). I have a High Availability requirement - the service must be deployed on two servers and if the service stops (only the service, not the whole server) on one server, all the requests must be redirected to the second one. For me it looks like a basic failover scenario. How can I achieve this on Windows Server 2003? Should I use Microsoft Cluster Service or Network Load Balancing? The important part is that the process of swapping the servers should not concern the clients (the client must see only single address / single host or domain name). Thanks in advance for help.

  Read the article

• Very fast Laptop Heating due to very high CPU usage by dwm.exe

  - by Sushan Shrestha

  My laptop gets heated very fast and when I check the task manager, I find dwm.exe consuming very high CPU (mostly 100%). In the beginning I found the message "The graphic adapter has been stopped and recovered".Also I am getting one error message "Cidaemon.exe has stopped working" very frequently. During this period also, cpu usage is 100% which is consumed by dwm.exe. I have run ccleaner and Kingsoft PC doctor monitor to fix the register problem but the problem has not been solved. My display adaptor is : NVIDIA NVS 5200M. After the driver update, I am not getting "The graphic adapter has been stopped and recovered" but dwm.exe is still consuming 100% CPU one time in about 5 mins. Multiple restarts has not helped. Laptop Model: Dell Latitude E6430. Thanks in advance.

  Read the article

• Providing high availability and failover using MySQL on EC2

  - by crb

  I would like to have a highly-available MySQL system, with automatic failover, running on Amazon EC2 instances. The standard approach to solving this is problem Heartbeat + DRBD, but I've found a lot of posts suggesting DRBD doesn't work on EC2, though none saying exactly why. Obviously, a serial heartbeat or distinct network is out of the question in the virtualised environment. It would also be good to have the different servers be in different availability zones, but we're getting into a much harder problem there. What are peoples' opinion on having a high uptime solution in "the cloud"? Note: This question was asked before RDS with multi-AZ was announced, which is the nice automatic answer for today's modern IT professional. :)

  Read the article

• Advantages of Thread pooling in embedded systems

  - by Microkernel

  I am looking at the advantages of threadpooling design pattern in Embedded systems. I have listed few advantages, please go through them, comment and please suggest any other possible advantages that I am missing. Scalability in systems like ucos-2 where there is limit on number of threads. Increasing capability of any task when necessary like Garbage collection (say in normal systems if garbage collection is running under one task, its not possible to speed it up, but in threadpooling we can easily speed it up). Can set limit on the max system load. Please suggest if I am missing anything.

  Read the article

• Efficiently separating Read/Compute/Write steps for concurrent processing of entities in Entity/Component systems

  - by TravisG

  Setup I have an entity-component architecture where Entities can have a set of attributes (which are pure data with no behavior) and there exist systems that run the entity logic which act on that data. Essentially, in somewhat pseudo-code: Entity { id; map<id_type, Attribute> attributes; } System { update(); vector<Entity> entities; } A system that just moves along all entities at a constant rate might be MovementSystem extends System { update() { for each entity in entities position = entity.attributes["position"]; position += vec3(1,1,1); } } Essentially, I'm trying to parallelise update() as efficiently as possible. This can be done by running entire systems in parallel, or by giving each update() of one system a couple of components so different threads can execute the update of the same system, but for a different subset of entities registered with that system. Problem In reality, these systems sometimes require that entities interact(/read/write data from/to) each other, sometimes within the same system (e.g. an AI system that reads state from other entities surrounding the current processed entity), but sometimes between different systems that depend on each other (i.e. a movement system that requires data from a system that processes user input). Now, when trying to parallelize the update phases of entity/component systems, the phases in which data (components/attributes) from Entities are read and used to compute something, and the phase where the modified data is written back to entities need to be separated in order to avoid data races. Otherwise the only way (not taking into account just "critical section"ing everything) to avoid them is to serialize parts of the update process that depend on other parts. This seems ugly. To me it would seem more elegant to be able to (ideally) have all processing running in parallel, where a system may read data from all entities as it wishes, but doesn't write modifications to that data back until some later point. The fact that this is even possible is based on the assumption that modification write-backs are usually very small in complexity, and don't require much performance, whereas computations are very expensive (relatively). So the overhead added by a delayed-write phase might be evened out by more efficient updating of entities (by having threads work more % of the time instead of waiting). A concrete example of this might be a system that updates physics. The system needs to both read and write a lot of data to and from entities. Optimally, there would be a system in place where all available threads update a subset of all entities registered with the physics system. In the case of the physics system this isn't trivially possible because of race conditions. So without a workaround, we would have to find other systems to run in parallel (which don't modify the same data as the physics system), other wise the remaining threads are waiting and wasting time. However, that has disadvantages Practically, the L3 cache is pretty much always better utilized when updating a large system with multiple threads, as opposed to multiple systems at once, which all act on different sets of data. Finding and assembling other systems to run in parallel can be extremely time consuming to design well enough to optimize performance. Sometimes, it might even not be possible at all because a system just depends on data that is touched by all other systems. Solution? In my thinking, a possible solution would be a system where reading/updating and writing of data is separated, so that in one expensive phase, systems only read data and compute what they need to compute, and then in a separate, performance-wise cheap, write phase, attributes of entities that needed to be modified are finally written back to the entities. The Question How might such a system be implemented to achieve optimal performance, as well as making programmer life easier? What are the implementation details of such a system and what might have to be changed in the existing EC-architecture to accommodate this solution?

  Read the article

• Linux Tuning for High Traffic JBoss Server with LDAP Binds

  - by Levi Stanley

  I'm configuring a high traffic Linux server (RedHat) and running into a limit I haven't been able to track down. I need to be able to handle sustained 300 requests per second throughput using Nginx and JBoss. The point of this server is to run checks on a user's account when that user signs in. Each request goes through Nginx to JBoss (specifically Torquebox with JBoss A7 with a Sinatra app) and then makes an LDAP request to bind that user and retrieve several attributes. It is during the bind that these errors occur. I'm able to reproduce this going directly to JBoss, so that rules out Nginx at least. I get a variety of error messages, though oddly JBoss stopped writing to the log file recently. It used to report errors about creating native threads. Now I just see "java.net.SocketException: Connection reset" and "org.apache.http.conn.HttpHostConnectException: Connection to http://my.awesome.server:8080 refused" as responses in jmeter. To the best of my knowledge, I have plenty of available file handles, processes, sockets, and ports, yet the issue persists. Unfortunately, I have very little experience tuning servers. I've found a couple useful documents - Ipsysctl tutorial 1.0.4 and Linux Tuning - but those documents are a bit over my head (and just entering the the configuration described in Linux Tuning doesn't fix my issue. Here are the configuration changes I've tried (webproxy is the user that runs Nginx and JBoss): /etc/security/limits.conf webproxy soft nofile 65536 webproxy hard nofile 65536 webproxy soft nproc 65536 webproxy hard nproc 65536 root soft nofile 65536 root hard nofile 65536 root soft nproc 65536 root hard nofile 65536 First attempt /etc/sysctl.conf sysctl net.core.somaxconn = 8192 sysctl net.ipv4.ip_local_port_range = 32768 65535 sysctl net.ipv4.tcp_fin_timeout = 15 sysctl net.ipv4.tcp_keepalive_time = 1800 sysctl net.ipv4.tcp_keepalive_intvl = 35 sysctl net.ipv4.tcp_tw_recycle = 1 sysctl net.ipv4.tcp_tw_reuse = 1 Second attempt /etc/sysctl.conf net.core.rmem_max = 16777216 net.core.wmem_max = 16777216 net.ipv4.tcp_rmem = 4096 87380 16777216 net.ipv4.tcp_wmem = 4096 65536 16777216 net.core.netdev_max_backlog = 30000 net.ipv4.tcp_congestion_control=htcp net.ipv4.tcp_mtu_probing=1 Any ideas what might be happening here? Or better yet, are there some good documentation resources designed for beginners?

  Read the article

• Large, high performance object or key/value store for HTTP serving on Linux

  - by Tommy

  I have a service that serves images to end users at a very high rate using plain HTTP. The images vary between 4 and 64kbytes, and there are 1.300.000.000 of them in total. The dataset is about 30TiB in size and changes (new objects, updates, deletes) make out less than 1% of the requests. The number of requests pr. second vary from 240 to 9000 and is dispersed pretty much all over, with few objects being especially "hot". As of now, these images are files on a ext3 filesystem distributed read only across a large amount of mid range servers. This poses several problems: Using a fileysystem is very inefficient since the metadata size is large, the inode/dentry cache is volatile on linux and some daemons tend to stat()/readdir() it's way through the directory structure, which in my case becomes very expensive. Updating the dataset is very time consuming and requires remounting between set A and B. The only reasonable handling is operating on the block device for backup, copying, etc. What I would like is a deamon that: speaks HTTP (get, put, delete and perhaps update) stores data it in an efficient structure. The index should remain in memory, and considering the amount of objects, the overhead must be small. The software should be able to handle massive connections with slow (if any) time needed to ramp up. Index should be read in memory at startup. Statistics would be nice, but not mandatory. I have experimented a bit with riak, redis, mongodb, kyoto and varnish with persistent storage, but I haven't had the chance to dig in really deep yet.

  Read the article

• Do different operating systems have different read and write speeds?

  - by Ivan

  If I have two different operating systems, such as Windows 8 and Ubuntu, running on the same hardware, will the two operating systems have different read and write speeds? My guess is that there would be minimal difference between operating systems and read and write speeds to the hard disk since the major limited factor is seeking; however, different operating systems may use different file systems in order to attempt to reduce seek time in the hard disk. Likewise, I'm sure that modern operating systems will not actually write directly to the hard disk, and instead will just have it in memory and marked with a dirty bit. Are there any studies that show differences in read and write speeds between OSs? Or would the file system being used by the OS matter more than the OS itself?

  Read the article

• SQL Server High Availability - Mirroring with MSCS?

  - by David

  I'm looking at options for high-availability for my SQL Server-powered application. The requirements are: HA protection from storage failure. Data accessibility when one of the DB servers is undergoing software updates (e.g. planned outage for Windows Update / SQL Server service-packs). Must not involve much in the way of hardware procurement. The application is an ASP.NET web application. The web application's users have their own database instances. I've seen two main options: SQL Server failover clustering, and SQL Server mirroring. I understand that SQL Server Failover Clustering requires the purchasing of a shared disk array and doesn't offer any protection if the shared storage goes down (so the documentation recommends to set up a Mirroring between two clusters). Database Mirroring seems the cheaper option (as it only requires two database servers and a simple witness box) - but I've heard it doesn't work well when you have a large number of databases. The application I'm developing involves giving each client their own database for their application - there could be hundreds of databases. Setting up the mirroring is no problem thanks to the automation systems we have in place. My final point concerns how failover works with respect to client connections - SQL Server Failover Clustering uses MSCS which means that the cluster is invisible to clients - a connection attempt might fail during the failover, but a simple reconnect will have it working again. However mirroring, as far as I know, requires that the client be aware of the mirrored partners: if the client cannot connect to the primary server then it tries the secondary server. I'm wondering how this work with respect to Connection Pooling in ASP.NET applications - does the client connection failovering mean that there's a potential 2-second (assuming 2000ms TCP timeout policy) pause when the connection pool tries the primary server on every connection attempt? I read somewhere that Mirroring can be used on top of MSCS which means that the client does not need to be aware of mirroring (so there wouldn't be any potential delays during connection, and also that no changes would need to be made to the client, not even the connection string) - however I'm finding it hard to get documentation or white papers on this approach. But if true, then it means the best method is then Mirroring (for HA) with MSCS (for client ignorance and connection performance). ...but how does this scale to a server instance that might contain hundreds of mirrored databases?

  Read the article

• EMEA Engineered Systems Partner Update Call&ndash;October 30th 2013

  - by JuergenKress

  EMEA Engineered Systems Partner Update Call: Engineered Systems (Including Exalogic) updates from Oracle OpenWorld on 30th October, 2013 at 15:00 CET (UTC/GMT +1 Hour) We are pleased to invite you to the next Webcast from our Engineered Systems Partner Update Series. This time it will be all around "Engineered Systems updates from Oracle OpenWorld – all the news from Exalogic included" on Wednesday 30th October, 2013 at 15:00 CET (UTC/GMT +1 Hour). One more year, San Francisco hosted the Oracle OpenWorld, in the month of September. Every year, thousands of partners and customers attend this event to discover new products and solutions, improve their technical proficiency and knowledge, learn tips and tricks for currently installed products and understand where the industry is headed. In case you could not make it to San Francisco this time, we want to provide you with the key updates announced at Oracle OpenWorld around Engineered Systems. Please mark your diaries. You can also attend Larry’s keynote around the Oracle Database 12c In-Memory Database and M6 Big Memory Machine and many more on the Oracle OpenWorld On Demand website. Agenda: Overview of latest Engineered Systems including Exalogic and how Oracle Fusion Middleware performs on the machine How to articulate their value to customers Webcast Joining details: To Join the webcast CLICK HERE For audio reception please use the following details: Global Dial-in Numbers Session/Conference ID: 595 534 979 Password: 12385 WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Wiki Technorati Tags: Engineered Systems,Exalogic,OOW,Oracle OpenWorld,WebLogic,WebLogic Community,Oracle,OPN,Jürgen Kress

  Read the article

• Which programming languages aren't considered high-level?

  - by hilo

  In informatics theory I hear and read about high-level and low-level languages all time. Yet I don't understand why this is still relevant as there aren't any (relevant) low-level languages except assembler in use today. So you get: Low-level Assembler Definitely not low-level C BASIC FORTRAN COBOL ... High-level C++ Ruby Python PHP ... And if assembler is low-level, how could you put for example C into the same list. I mean: C is extremely high-level compared to assembler. Same even for COBOL, Fortran, etc. So why does everybody keep mentioning high and low-level languages if assembler is really the only low-level language.

  Read the article

• About High Availability

  - by Invincible

  I guess my previous question was ambiguous. I am looking for High Availability architecture for system application like Database in particular. I know this is not perfect place to ask this question. Can anybody suggest some good resource or book on High-Availability? I want to learn as much as I can on high-availability before I start building my system. Thanks in advance!

  Read the article

• topics in distributed systems

  - by scatman

  what do you think is an interesting topic in distributed systems. i should pic a topic and present it on monday. at first i chose to talk about Wuala, but after reading about it, i don't think its that interesting. so what is an interesting (new) topic in distributed systems that i can research about. sorry if this is the wrong place to post.

  Read the article

• Oracle Systems and Solutions at OpenWorld Tokyo 2012

  - by ferhat

  Oracle OpenWorld Tokyo and JavaOne Tokyo will start next week April 4th. We will cover Oracle systems and Oracle Optimized Solutions in several keynote talks and general sessions. Full schedule can be found here. Come by the DemoGrounds to learn more about mission critical integration and optimization of complete Oracle stack. Our Oracle Optimized Solutions experts will be at hand to discuss 1-1 several of Oracle's systems solutions and technologies. Oracle Optimized Solutions are proven blueprints that eliminate integration guesswork by combing best in class hardware and software components to deliver complete system architectures that are fully tested, and include documented best practices that reduce integration risks and deliver better application performance. And because they are highly flexible by design, Oracle Optimized Solutions can be implemented as an end-to-end solution or easily adapted into existing environments. Oracle Optimized Solutions, Servers,  Storage, and Oracle Solaris  Sessions, Keynotes, and General Session Talks DAY TIME TITLE Notes Session Wednesday  April 4 9:00 - 11:15 Keynote: ENGINEERED FOR INNOVATION - Engineered Systems Mark Hurd,  President, Oracle Takao Endo, President & CEO, Oracle Corporation Japan John Fowler, EVP of Systems, Oracle Ed Screven, Chief Corporate Architect, Oracle English Session K1-01 11:50 - 12:35 Simplifying IT: Transforming the Data Center with Oracle's Engineered Systems Robert Shimp, Group VP, Product Marketing, Oracle English Session S1-01 15:20 - 16:05 Introducing Tiered Storage Solution for low cost Big Data Archiving S1-33 16:30 - 17:15 Simplifying IT - IT System Consolidation that also Accelerates Business Agility S1-42 Thursday  April 5 9:30 - 11:15 Keynote: Extreme Innovation Larry Ellison, Chief Executive Officer, Oracle English Session K2-01 11:50 - 13:20 General Session: Server and Storage Systems Strategy John Fowler, EVP of Systems, Oracle English Session G2-01 16:30 - 17:15 Top 5 Reasons why ZFS Storage appliance is "The cloud storage" by SAKURA Internet Inc L2-04 16:30 - 17:15 The UNIX based Exa* Performance IT Integration Platform - SPARC SuperCluster S2-42 17:40 - 18:25 Full stack solutions of hardware and software with SPARC SuperCluster and Oracle E-Business Suite  to minimize the business cost while maximizing the agility, performance, and availability S2-53 Friday April 6 9:30 - 11:15 Keynote: Oracle Fusion Applications & Cloud Robert Shimp, Group VP, Product Marketing Anthony Lye, Senior VP English Session K3-01 11:50 - 12:35 IT at Oracle: The Art of IT Transformation to Enable Business Growth English Session S3-02 13:00-13:45 ZFS Storagge Appliance: Architecture of high efficient and high performance S3-13 14:10 - 14:55 Why "Niko Niko doga" chose ZFS Storage Appliance to support their growing requirements and storage infrastructure By DWANGO Co, Ltd. S3-21 15:20 - 16:05 Osaka University: Lower TCO and higher flexibility for student study by Virtual Desktop By Osaka University S3-33 Oracle Developer Sessions with Oracle Systems and Oracle Solaris DAY TIME TITLE Notes LOCATION Friday April 6 13:00 - 13:45 Oracle Solaris 11 Developers D3-03 13:00 - 14:30 Oracle Solaris Tuning Contest Hands-On Lab D3-04 14:00 - 14:35 How to build high performance and high security Oracle Database environment with Oracle SPARC/Solaris English Session D3-13 15:00 - 15:45 IT Assets preservation and constructive migration with Oracle Solaris virtualization D3-24 16:00 - 17:30 The best packaging system for cloud environment - Creating an IPS package D3-34 Follow Oracle Infrared at Twitter, Facebook, Google+, and LinkedIn  to catch the latest news, developments, announcements, and inside views from  Oracle Optimized Solutions.

  Read the article

• Oracle's Integrated Systems Management and Support Experience

  - by Scott McNeil

  With its recent launch, Oracle Enterprise Manager 11g introduced a new approach to integrated systems management and support. What this means is taking both areas of IT management and vendor support and combining them into one integrated comprehensive and centralized platform. Traditional Ways Under the traditional method, IT operational teams would often focus on running their systems using management tools that weren’t connected to their vendor’s support systems. If you needed support with a product, administrators would often contact the vendor by phone or visit the vendor website for support and then log a service request in order to fix the issues. This method was also very time consuming, as administrators would have to collect their software configurations, operating systems and hardware settings, then manually enter them into an online form or recite them to a support analyst on the phone. For the vendor, they had to analyze all the configuration data to recreate the problem in order to solve it. This approach was very manual, uncoordinated and error-prone where duplication between the customer and vendor frequently occurred. A Better Support Experience By removing the boundaries between support, IT management tools and the customer’s IT infrastructure, Oracle paved the way for a better support experience. This was achieved through integration between Oracle Enterprise Manager 11g and My Oracle Support. Administrators can not only manage their IT infrastructure and applications through Oracle Enterprise Manager’s centralized console but can also receive proactive alerts and patch recommendations right within the console they use day-in-day-out. Having one single source of information saves time and potentially prevents unforeseen problems down the road. All for One, and One for All The first step for you is to allow Oracle Enterprise Manager to upload configuration data into Oracle’s secure configuration repository, where it can be analyzed for potential issues or conflicts for all customers. A fix to a problem encountered by one customer may actually be relevant to many more. The integration between My Oracle Support and Oracle Enterprise Manager allows all customers who may be impacted by the problem to receive a notification about the fix. Once the alert appears in Oracle Enterprise Manager’s console, the administrator can take his/her time to do further investigations using automated workflows provided in Oracle Enterprise Manager to analyze potential conflicts. Finally, administrators can schedule a time to test and automatically apply the fix to all the systems that need it. In the end, this helps customers maintain their service levels without compromise and avoid experiencing unplanned downtime that may result from potential issues or conflicts. This new paradigm of integrated systems management and support helps customers keep their systems secure, compliant, and up-to-date, while eliminating the traditional silos between IT management and vendor support. Oracle’s next generation platform also works hand-in-hand to provide higher quality of service to business users while at the same time making life for administrators less complicated. For more information on Oracle’s integrated systems management and support experience, be sure to visit our Oracle Enterprise Manager 11g Resource Center for the latest customer videos, webcast, and white papers.

  Read the article

• Engineered Systems Production Tour

  - by Javier Puerta

  Oracle's Engineered Systems are shipped fully assembled and tested, and ready to be simply wheeled into the datacenter, plugged in and turned on. If you are curious to know how Oracle manufactures the Engineered Systems, watch this short video from our manufacturing plant.The video covers the assembly, test, packing and shipping of these systems and shows the extensive quality assurance steps that are taken:     Engineered Systems Production Tour from Cameron O'Rourke on Vimeo.

  Read the article

• High Linux loads on low CPU/memory usage

  - by user13323

  Hi. I have quite strange situation, where my CentOS 5.5 box loads are high, but the CPU and memory used are pretty low: top - 20:41:38 up 42 days, 6:14, 2 users, load average: 19.79, 21.25, 18.87 Tasks: 254 total, 1 running, 253 sleeping, 0 stopped, 0 zombie Cpu(s): 3.8%us, 0.3%sy, 0.1%ni, 95.0%id, 0.6%wa, 0.0%hi, 0.1%si, 0.0%st Mem: 4035284k total, 4008084k used, 27200k free, 38748k buffers Swap: 4208928k total, 242576k used, 3966352k free, 1465008k cached free -mt total used free shared buffers cached Mem: 3940 3910 29 0 37 1427 -/+ buffers/cache: 2445 1495 Swap: 4110 236 3873 Total: 8050 4147 3903 Iostat also shows good results: avg-cpu: %user %nice %system %iowait %steal %idle 3.83 0.13 0.41 0.58 0.00 95.05 Here is the ps aux output: USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND root 1 0.0 0.0 10348 80 ? Ss 2010 2:11 init [3] root 2 0.0 0.0 0 0 ? S< 2010 0:00 [migration/0] root 3 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/0] root 4 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/0] root 5 0.0 0.0 0 0 ? S< 2010 0:02 [migration/1] root 6 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/1] root 7 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/1] root 8 0.0 0.0 0 0 ? S< 2010 0:02 [migration/2] root 9 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/2] root 10 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/2] root 11 0.0 0.0 0 0 ? S< 2010 0:02 [migration/3] root 12 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/3] root 13 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/3] root 14 0.0 0.0 0 0 ? S< 2010 0:03 [migration/4] root 15 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/4] root 16 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/4] root 17 0.0 0.0 0 0 ? S< 2010 0:01 [migration/5] root 18 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/5] root 19 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/5] root 20 0.0 0.0 0 0 ? S< 2010 0:11 [migration/6] root 21 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/6] root 22 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/6] root 23 0.0 0.0 0 0 ? S< 2010 0:01 [migration/7] root 24 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/7] root 25 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/7] root 26 0.0 0.0 0 0 ? S< 2010 0:00 [migration/8] root 27 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/8] root 28 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/8] root 29 0.0 0.0 0 0 ? S< 2010 0:00 [migration/9] root 30 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/9] root 31 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/9] root 32 0.0 0.0 0 0 ? S< 2010 0:08 [migration/10] root 33 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/10] root 34 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/10] root 35 0.0 0.0 0 0 ? S< 2010 0:05 [migration/11] root 36 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/11] root 37 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/11] root 38 0.0 0.0 0 0 ? S< 2010 0:02 [migration/12] root 39 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/12] root 40 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/12] root 41 0.0 0.0 0 0 ? S< 2010 0:14 [migration/13] root 42 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/13] root 43 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/13] root 44 0.0 0.0 0 0 ? S< 2010 0:04 [migration/14] root 45 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/14] root 46 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/14] root 47 0.0 0.0 0 0 ? S< 2010 0:01 [migration/15] root 48 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/15] root 49 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/15] root 50 0.0 0.0 0 0 ? S< 2010 0:00 [events/0] root 51 0.0 0.0 0 0 ? S< 2010 0:00 [events/1] root 52 0.0 0.0 0 0 ? S< 2010 0:00 [events/2] root 53 0.0 0.0 0 0 ? S< 2010 0:00 [events/3] root 54 0.0 0.0 0 0 ? S< 2010 0:00 [events/4] root 55 0.0 0.0 0 0 ? S< 2010 0:00 [events/5] root 56 0.0 0.0 0 0 ? S< 2010 0:00 [events/6] root 57 0.0 0.0 0 0 ? S< 2010 0:00 [events/7] root 58 0.0 0.0 0 0 ? S< 2010 0:00 [events/8] root 59 0.0 0.0 0 0 ? S< 2010 0:00 [events/9] root 60 0.0 0.0 0 0 ? S< 2010 0:00 [events/10] root 61 0.0 0.0 0 0 ? S< 2010 0:00 [events/11] root 62 0.0 0.0 0 0 ? S< 2010 0:00 [events/12] root 63 0.0 0.0 0 0 ? S< 2010 0:00 [events/13] root 64 0.0 0.0 0 0 ? S< 2010 0:00 [events/14] root 65 0.0 0.0 0 0 ? S< 2010 0:00 [events/15] root 66 0.0 0.0 0 0 ? S< 2010 0:00 [khelper] root 107 0.0 0.0 0 0 ? S< 2010 0:00 [kthread] root 126 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/0] root 127 0.0 0.0 0 0 ? S< 2010 0:03 [kblockd/1] root 128 0.0 0.0 0 0 ? S< 2010 0:01 [kblockd/2] root 129 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/3] root 130 0.0 0.0 0 0 ? S< 2010 0:05 [kblockd/4] root 131 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/5] root 132 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/6] root 133 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/7] root 134 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/8] root 135 0.0 0.0 0 0 ? S< 2010 0:02 [kblockd/9] root 136 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/10] root 137 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/11] root 138 0.0 0.0 0 0 ? S< 2010 0:04 [kblockd/12] root 139 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/13] root 140 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/14] root 141 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/15] root 142 0.0 0.0 0 0 ? S< 2010 0:00 [kacpid] root 281 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/0] root 282 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/1] root 283 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/2] root 284 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/3] root 285 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/4] root 286 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/5] root 287 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/6] root 288 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/7] root 289 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/8] root 290 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/9] root 291 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/10] root 292 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/11] root 293 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/12] root 294 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/13] root 295 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/14] root 296 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/15] root 299 0.0 0.0 0 0 ? S< 2010 0:00 [khubd] root 301 0.0 0.0 0 0 ? S< 2010 0:00 [kseriod] root 490 0.0 0.0 0 0 ? S 2010 0:00 [khungtaskd] root 493 0.1 0.0 0 0 ? S< 2010 94:48 [kswapd1] root 494 0.0 0.0 0 0 ? S< 2010 0:00 [aio/0] root 495 0.0 0.0 0 0 ? S< 2010 0:00 [aio/1] root 496 0.0 0.0 0 0 ? S< 2010 0:00 [aio/2] root 497 0.0 0.0 0 0 ? S< 2010 0:00 [aio/3] root 498 0.0 0.0 0 0 ? S< 2010 0:00 [aio/4] root 499 0.0 0.0 0 0 ? S< 2010 0:00 [aio/5] root 500 0.0 0.0 0 0 ? S< 2010 0:00 [aio/6] root 501 0.0 0.0 0 0 ? S< 2010 0:00 [aio/7] root 502 0.0 0.0 0 0 ? S< 2010 0:00 [aio/8] root 503 0.0 0.0 0 0 ? S< 2010 0:00 [aio/9] root 504 0.0 0.0 0 0 ? S< 2010 0:00 [aio/10] root 505 0.0 0.0 0 0 ? S< 2010 0:00 [aio/11] root 506 0.0 0.0 0 0 ? S< 2010 0:00 [aio/12] root 507 0.0 0.0 0 0 ? S< 2010 0:00 [aio/13] root 508 0.0 0.0 0 0 ? S< 2010 0:00 [aio/14] root 509 0.0 0.0 0 0 ? S< 2010 0:00 [aio/15] root 665 0.0 0.0 0 0 ? S< 2010 0:00 [kpsmoused] root 808 0.0 0.0 0 0 ? S< 2010 0:00 [ata/0] root 809 0.0 0.0 0 0 ? S< 2010 0:00 [ata/1] root 810 0.0 0.0 0 0 ? S< 2010 0:00 [ata/2] root 811 0.0 0.0 0 0 ? S< 2010 0:00 [ata/3] root 812 0.0 0.0 0 0 ? S< 2010 0:00 [ata/4] root 813 0.0 0.0 0 0 ? S< 2010 0:00 [ata/5] root 814 0.0 0.0 0 0 ? S< 2010 0:00 [ata/6] root 815 0.0 0.0 0 0 ? S< 2010 0:00 [ata/7] root 816 0.0 0.0 0 0 ? S< 2010 0:00 [ata/8] root 817 0.0 0.0 0 0 ? S< 2010 0:00 [ata/9] root 818 0.0 0.0 0 0 ? S< 2010 0:00 [ata/10] root 819 0.0 0.0 0 0 ? S< 2010 0:00 [ata/11] root 820 0.0 0.0 0 0 ? S< 2010 0:00 [ata/12] root 821 0.0 0.0 0 0 ? S< 2010 0:00 [ata/13] root 822 0.0 0.0 0 0 ? S< 2010 0:00 [ata/14] root 823 0.0 0.0 0 0 ? S< 2010 0:00 [ata/15] root 824 0.0 0.0 0 0 ? S< 2010 0:00 [ata_aux] root 842 0.0 0.0 0 0 ? S< 2010 0:00 [scsi_eh_0] root 843 0.0 0.0 0 0 ? S< 2010 0:00 [scsi_eh_1] root 844 0.0 0.0 0 0 ? S< 2010 0:00 [scsi_eh_2] root 845 0.0 0.0 0 0 ? S< 2010 0:00 [scsi_eh_3] root 846 0.0 0.0 0 0 ? S< 2010 0:00 [scsi_eh_4] root 847 0.0 0.0 0 0 ? S< 2010 0:00 [scsi_eh_5] root 882 0.0 0.0 0 0 ? S< 2010 0:00 [kstriped] root 951 0.0 0.0 0 0 ? S< 2010 4:24 [kjournald] root 976 0.0 0.0 0 0 ? S< 2010 0:00 [kauditd] postfix 990 0.0 0.0 54208 2284 ? S 21:19 0:00 pickup -l -t fifo -u root 1013 0.0 0.0 12676 8 ? S<s 2010 0:00 /sbin/udevd -d root 1326 0.0 0.0 90900 3400 ? Ss 14:53 0:00 sshd: root@notty root 1410 0.0 0.0 53972 2108 ? Ss 14:53 0:00 /usr/libexec/openssh/sftp-server root 2690 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/0] root 2691 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/1] root 2692 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/2] root 2693 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/3] root 2694 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/4] root 2695 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/5] root 2696 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/6] root 2697 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/7] root 2698 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/8] root 2699 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/9] root 2700 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/10] root 2701 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/11] root 2702 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/12] root 2703 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/13] root 2704 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/14] root 2705 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/15] root 2706 0.0 0.0 0 0 ? S< 2010 0:00 [kmpath_handlerd] root 2755 0.0 0.0 0 0 ? S< 2010 4:35 [kjournald] root 2757 0.0 0.0 0 0 ? S< 2010 3:38 [kjournald] root 2759 0.0 0.0 0 0 ? S< 2010 4:10 [kjournald] root 2761 0.0 0.0 0 0 ? S< 2010 4:26 [kjournald] root 2763 0.0 0.0 0 0 ? S< 2010 3:15 [kjournald] root 2765 0.0 0.0 0 0 ? S< 2010 3:04 [kjournald] root 2767 0.0 0.0 0 0 ? S< 2010 3:02 [kjournald] root 2769 0.0 0.0 0 0 ? S< 2010 2:58 [kjournald] root 2771 0.0 0.0 0 0 ? S< 2010 0:00 [kjournald] root 3340 0.0 0.0 5908 356 ? Ss 2010 2:48 syslogd -m 0 root 3343 0.0 0.0 3804 212 ? Ss 2010 0:03 klogd -x root 3430 0.0 0.0 0 0 ? S< 2010 0:50 [kondemand/0] root 3431 0.0 0.0 0 0 ? S< 2010 0:54 [kondemand/1] root 3432 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/2] root 3433 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/3] root 3434 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/4] root 3435 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/5] root 3436 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/6] root 3437 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/7] root 3438 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/8] root 3439 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/9] root 3440 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/10] root 3441 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/11] root 3442 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/12] root 3443 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/13] root 3444 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/14] root 3445 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/15] root 3461 0.0 0.0 10760 284 ? Ss 2010 3:44 irqbalance rpc 3481 0.0 0.0 8052 4 ? Ss 2010 0:00 portmap root 3526 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/0] root 3527 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/1] root 3528 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/2] root 3529 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/3] root 3530 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/4] root 3531 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/5] root 3532 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/6] root 3533 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/7] root 3534 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/8] root 3535 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/9] root 3536 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/10] root 3537 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/11] root 3538 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/12] root 3539 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/13] root 3540 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/14] root 3541 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/15] root 3563 0.0 0.0 10160 8 ? Ss 2010 0:00 rpc.statd root 3595 0.0 0.0 55180 4 ? Ss 2010 0:00 rpc.idmapd dbus 3618 0.0 0.0 21256 28 ? Ss 2010 0:00 dbus-daemon --system root 3649 0.2 0.4 563084 18796 ? S<sl 2010 179:03 mfsmount /mnt/mfs -o rw,mfsmaster=web1.ovs.local root 3702 0.0 0.0 3800 8 ? Ss 2010 0:00 /usr/sbin/acpid 68 3715 0.0 0.0 31312 816 ? Ss 2010 3:14 hald root 3716 0.0 0.0 21692 28 ? S 2010 0:00 hald-runner 68 3726 0.0 0.0 12324 8 ? S 2010 0:00 hald-addon-acpi: listening on acpid socket /var/run/acpid.socket 68 3730 0.0 0.0 12324 8 ? S 2010 0:00 hald-addon-keyboard: listening on /dev/input/event0 root 3773 0.0 0.0 62608 332 ? Ss 2010 0:00 /usr/sbin/sshd ganglia 3786 0.0 0.0 24704 988 ? Ss 2010 14:26 /usr/sbin/gmond root 3843 0.0 0.0 54144 300 ? Ss 2010 1:49 /usr/libexec/postfix/master postfix 3855 0.0 0.0 54860 1060 ? S 2010 0:22 qmgr -l -t fifo -u root 3877 0.0 0.0 74828 708 ? Ss 2010 1:15 crond root 3891 1.4 1.9 326960 77704 ? S<l 2010 896:59 mfschunkserver root 4122 0.0 0.0 18732 176 ? Ss 2010 0:10 /usr/sbin/atd root 4193 0.0 0.8 129180 35984 ? Ssl 2010 11:04 /usr/bin/ruby /usr/sbin/puppetd root 4223 0.0 0.0 18416 172 ? S 2010 0:10 /usr/sbin/smartd -q never root 4227 0.0 0.0 3792 8 tty1 Ss+ 2010 0:00 /sbin/mingetty tty1 root 4230 0.0 0.0 3792 8 tty2 Ss+ 2010 0:00 /sbin/mingetty tty2 root 4231 0.0 0.0 3792 8 tty3 Ss+ 2010 0:00 /sbin/mingetty tty3 root 4233 0.0 0.0 3792 8 tty4 Ss+ 2010 0:00 /sbin/mingetty tty4 root 4234 0.0 0.0 3792 8 tty5 Ss+ 2010 0:00 /sbin/mingetty tty5 root 4236 0.0 0.0 3792 8 tty6 Ss+ 2010 0:00 /sbin/mingetty tty6 root 5596 0.0 0.0 19368 20 ? Ss 2010 0:00 DarwinStreamingServer qtss 5597 0.8 0.9 166572 37408 ? Sl 2010 523:02 DarwinStreamingServer root 8714 0.0 0.0 0 0 ? S Jan31 0:33 [pdflush] root 9914 0.0 0.0 65612 968 pts/1 R+ 21:49 0:00 ps aux root 10765 0.0 0.0 76792 1080 ? Ss Jan24 0:58 SCREEN root 10766 0.0 0.0 66212 872 pts/3 Ss Jan24 0:00 /bin/bash root 11833 0.0 0.0 63852 1060 pts/3 S+ 17:17 0:00 /bin/sh ./launch.sh root 11834 437 42.9 4126884 1733348 pts/3 Sl+ 17:17 1190:50 /usr/bin/java -Xms128m -Xmx512m -XX:+UseConcMarkSweepGC -jar /JavaCore/JavaCore.jar root 13127 4.7 1.1 110564 46876 ? Ssl 17:18 12:55 /JavaCore/fetcher.bin root 19392 0.0 0.0 90108 3336 ? Rs 20:35 0:00 sshd: root@pts/1 root 19401 0.0 0.0 66216 1640 pts/1 Ss 20:35 0:00 -bash root 20567 0.0 0.0 90108 412 ? Ss Jan16 1:58 sshd: root@pts/0 root 20569 0.0 0.0 66084 912 pts/0 Ss Jan16 0:00 -bash root 21053 0.0 0.0 63856 28 ? S Jan30 0:00 /bin/sh /usr/bin/WowzaMediaServerd /usr/local/WowzaMediaServer/bin/setenv.sh /var/run/WowzaM root 21054 2.9 10.3 2252652 418468 ? Sl Jan30 314:25 java -Xmx1200M -server -Djava.net.preferIPv4Stack=true -Dcom.sun.management.jmxremote=true - root 21915 0.0 0.0 0 0 ? S Feb01 0:00 [pdflush] root 29996 0.0 0.0 76524 1004 pts/0 S+ 14:41 0:00 screen -x Any idea what could this be, or where I should look for more diagnostic information? Thanks.

  Read the article

• High Server Load cannot figure out why

  - by Tim Bolton

  My server is currently running CentOS 5.2, with WHM 11.34. Currently, we're at 6.43 to 12 for a load average. The sites that we're hosting are taking a lot time to respond and resolve. top doesn't show anything out of the ordinary and iftop doesn't show a lot of traffic. We have many resellers, and some not so good at writing code, how can we find the culprit? vmstat output: vmstat procs -----------memory---------- ---swap-- -----io---- --system-- -----cpu------ r b swpd free buff cache si so bi bo in cs us sy id wa st 0 2 84 78684 154916 1021080 0 0 72 274 0 14 6 3 80 12 0 top output (ordered by %CPU) top - 21:44:43 up 5 days, 10:39, 3 users, load average: 3.36, 4.18, 4.73 Tasks: 222 total, 3 running, 219 sleeping, 0 stopped, 0 zombie Cpu(s): 5.8%us, 2.3%sy, 0.2%ni, 79.6%id, 11.8%wa, 0.0%hi, 0.2%si, 0.0%st Mem: 2074580k total, 1863044k used, 211536k free, 174828k buffers Swap: 2040212k total, 84k used, 2040128k free, 987604k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 15930 mysql 15 0 138m 46m 4380 S 4 2.3 1:45.87 mysqld 21772 igniteth 17 0 23200 7152 3932 R 4 0.3 0:00.02 php 1586 root 10 -5 0 0 0 S 2 0.0 11:45.19 kjournald 21759 root 15 0 2416 1024 732 R 2 0.0 0:00.01 top 1 root 15 0 2156 648 560 S 0 0.0 0:26.31 init 2 root RT 0 0 0 0 S 0 0.0 0:00.35 migration/0 3 root 34 19 0 0 0 S 0 0.0 0:00.32 ksoftirqd/0 4 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/0 5 root RT 0 0 0 0 S 0 0.0 0:02.00 migration/1 6 root 34 19 0 0 0 S 0 0.0 0:00.11 ksoftirqd/1 7 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/1 8 root RT 0 0 0 0 S 0 0.0 0:01.29 migration/2 9 root 34 19 0 0 0 S 0 0.0 0:00.26 ksoftirqd/2 10 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/2 11 root RT 0 0 0 0 S 0 0.0 0:00.90 migration/3 12 root 34 19 0 0 0 R 0 0.0 0:00.20 ksoftirqd/3 13 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/3 top output (ordered by CPU time) top - 21:46:12 up 5 days, 10:41, 3 users, load average: 2.88, 3.82, 4.55 Tasks: 217 total, 1 running, 216 sleeping, 0 stopped, 0 zombie Cpu(s): 3.7%us, 2.0%sy, 2.0%ni, 67.2%id, 25.0%wa, 0.0%hi, 0.1%si, 0.0%st Mem: 2074580k total, 1959516k used, 115064k free, 183116k buffers Swap: 2040212k total, 84k used, 2040128k free, 1090308k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ TIME COMMAND 32367 root 16 0 215m 212m 1548 S 0 10.5 62:03.63 62:03 tailwatchd 1586 root 10 -5 0 0 0 S 0 0.0 11:45.27 11:45 kjournald 1576 root 10 -5 0 0 0 S 0 0.0 2:37.86 2:37 kjournald 27722 root 16 0 2556 1184 800 S 0 0.1 1:48.94 1:48 top 15930 mysql 15 0 138m 46m 4380 S 4 2.3 1:48.63 1:48 mysqld 2932 root 34 19 0 0 0 S 0 0.0 1:41.05 1:41 kipmi0 226 root 10 -5 0 0 0 S 0 0.0 1:34.33 1:34 kswapd0 2671 named 25 0 74688 7400 2116 S 0 0.4 1:23.58 1:23 named 3229 root 15 0 10300 3348 2724 S 0 0.2 0:40.85 0:40 sshd 1580 root 10 -5 0 0 0 S 0 0.0 0:30.62 0:30 kjournald 1 root 17 0 2156 648 560 S 0 0.0 0:26.32 0:26 init 2616 root 15 0 1816 576 480 S 0 0.0 0:23.50 0:23 syslogd 1584 root 10 -5 0 0 0 S 0 0.0 0:18.67 0:18 kjournald 4342 root 34 19 27692 11m 2116 S 0 0.5 0:18.23 0:18 yum-updatesd 8044 bollingp 15 0 3456 2036 740 S 1 0.1 0:15.56 0:15 imapd 26 root 10 -5 0 0 0 S 0 0.0 0:14.18 0:14 kblockd/1 7989 gmailsit 16 0 3196 1748 736 S 0 0.1 0:10.43 0:10 imapd iostat -xtk 1 10 output [root@server1 tmp]# iostat -xtk 1 10 Linux 2.6.18-53.el5 12/18/2012 Time: 09:51:06 PM avg-cpu: %user %nice %system %iowait %steal %idle 5.83 0.19 2.53 11.85 0.00 79.60 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 1.37 118.83 18.70 54.27 131.47 692.72 22.59 4.90 67.19 3.10 22.59 sdb 0.35 39.33 20.33 61.43 158.79 403.22 13.75 5.23 63.93 3.77 30.80 Time: 09:51:07 PM avg-cpu: %user %nice %system %iowait %steal %idle 1.50 0.00 0.50 24.00 0.00 74.00 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 25.00 2.00 2.00 128.00 108.00 118.00 0.03 7.25 4.00 1.60 sdb 0.00 16.00 41.00 145.00 200.00 668.00 9.33 107.92 272.72 5.38 100.10 Time: 09:51:08 PM avg-cpu: %user %nice %system %iowait %steal %idle 2.00 0.00 1.50 29.50 0.00 67.00 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 95.00 3.00 33.00 12.00 480.00 27.33 0.07 1.72 1.31 4.70 sdb 0.00 14.00 1.00 228.00 4.00 960.00 8.42 143.49 568.01 4.37 100.10 Time: 09:51:09 PM avg-cpu: %user %nice %system %iowait %steal %idle 13.28 0.00 2.76 21.30 0.00 62.66 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 21.00 1.00 19.00 16.00 192.00 20.80 0.06 3.55 1.30 2.60 sdb 0.00 36.00 28.00 181.00 124.00 884.00 9.65 121.16 617.31 4.79 100.10 Time: 09:51:10 PM avg-cpu: %user %nice %system %iowait %steal %idle 4.74 0.00 1.50 25.19 0.00 68.58 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 20.00 3.00 15.00 12.00 136.00 16.44 0.17 7.11 3.11 5.60 sdb 0.00 0.00 103.00 60.00 544.00 248.00 9.72 52.35 545.23 6.14 100.10 Time: 09:51:11 PM avg-cpu: %user %nice %system %iowait %steal %idle 1.24 0.00 1.24 25.31 0.00 72.21 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 75.00 4.00 28.00 16.00 416.00 27.00 0.08 3.72 2.03 6.50 sdb 2.00 9.00 124.00 17.00 616.00 104.00 10.21 3.73 213.73 7.10 100.10 Time: 09:51:12 PM avg-cpu: %user %nice %system %iowait %steal %idle 1.00 0.00 0.75 24.31 0.00 73.93 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 24.00 1.00 9.00 4.00 132.00 27.20 0.01 1.20 1.10 1.10 sdb 4.00 40.00 103.00 48.00 528.00 212.00 9.80 105.21 104.32 6.64 100.20 Time: 09:51:13 PM avg-cpu: %user %nice %system %iowait %steal %idle 2.50 0.00 1.75 23.25 0.00 72.50 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 125.74 3.96 46.53 15.84 689.11 27.92 0.20 4.06 2.41 12.18 sdb 2.97 0.00 91.09 84.16 419.80 471.29 10.17 85.85 590.78 5.66 99.11 Time: 09:51:14 PM avg-cpu: %user %nice %system %iowait %steal %idle 0.75 0.00 0.50 24.94 0.00 73.82 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 88.00 1.00 7.00 4.00 380.00 96.00 0.04 4.38 3.00 2.40 sdb 3.00 7.00 111.00 44.00 540.00 208.00 9.65 18.58 581.79 6.46 100.10 Time: 09:51:15 PM avg-cpu: %user %nice %system %iowait %steal %idle 11.03 0.00 3.26 26.57 0.00 59.15 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await svctm %util sda 0.00 145.00 7.00 53.00 28.00 792.00 27.33 0.15 2.50 1.55 9.30 sdb 1.00 0.00 155.00 0.00 800.00 0.00 10.32 2.85 18.63 6.46 100.10 [root@server1 tmp]# MySQL Show Full Processlist mysql> show full processlist; +------+---------------+-----------+-----------------------+----------------+------+----------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Id | User | Host | db | Command | Time | State | Info | +------+---------------+-----------+-----------------------+----------------+------+----------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | 1 | DB_USER_ONE | localhost | DB_ONE | Query | 3 | waiting for handler insert | INSERT DELAYED INTO defers (mailtime,msgid,email,transport_method,message,host,ip,router,deliveryuser,deliverydomain) VALUES(FROM_UNIXTIME('1355879748'),'1TivwL-0003y8-8l','[email protected]','remote_smtp','SMTP error from remote mail server after initial connection: host mx1.mail.tw.yahoo.com [203.188.197.119]: 421 4.7.0 [TS01] Messages from 75.125.90.146 temporarily deferred due to user complaints - 4.16.55.1; see http://postmaster.yahoo.com/421-ts01.html','mx1.mail.tw.yahoo.com','203.188.197.119','lookuphost','','') | | 2 | DELAYED | localhost | DB_ONE | Delayed insert | 52 | insert | | | 3 | DELAYED | localhost | DB_ONE | Delayed insert | 68 | insert | | | 911 | DELAYED | localhost | DB_ONE | Delayed insert | 99 | Waiting for INSERT | | | 993 | DB_USER_TWO | localhost | DB_TWO | Sleep | 832 | | NULL | | 994 | DB_USER_ONE | localhost | DB_ONE | Query | 185 | Locked | delete from failures where FROM_UNIXTIME(UNIX_TIMESTAMP(NOW())-1296000) > mailtime | | 1102 | DB_USER_THREE | localhost | DB_THREE | Query | 29 | NULL | commit | | 1249 | DB_USER_FOUR | localhost | DB_FOUR | Query | 13 | NULL | commit | | 1263 | root | localhost | DB_FIVE | Query | 0 | NULL | show full processlist | | 1264 | DB_USER_SIX | localhost | DB_SIX | Query | 3 | NULL | commit | +------+---------------+-----------+-----------------------+----------------+------+----------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ 10 rows in set (0.00 sec)

  Read the article

• High Load mysql on Debian server

  - by Oleg Abrazhaev

  I have Debian server with 32 gb memory. And there is apache2, memcached and nginx on this server. Memory load always on maximum. Only 500m free. Most memory leak do MySql. Apache only 70 clients configured, other services small memory usage. When mysql use all memory it stops. And nothing works, need mysql reboot. Mysql configured use maximum 24 gb memory. I have hight weight InnoDB bases. (400000 rows, 30 gb). And on server multithread daemon, that makes many inserts in this tables, thats why InnoDB. There is my mysql config. [mysqld] # # * Basic Settings # default-time-zone = "+04:00" user = mysql pid-file = /var/run/mysqld/mysqld.pid socket = /var/run/mysqld/mysqld.sock port = 3306 basedir = /usr datadir = /var/lib/mysql tmpdir = /tmp language = /usr/share/mysql/english skip-external-locking default-time-zone='Europe/Moscow' # # Instead of skip-networking the default is now to listen only on # localhost which is more compatible and is not less secure. # # * Fine Tuning # #low_priority_updates = 1 concurrent_insert = ALWAYS wait_timeout = 600 interactive_timeout = 600 #normal key_buffer_size = 2024M #key_buffer_size = 1512M #70% hot cache key_cache_division_limit= 70 #16-32 max_allowed_packet = 32M #1-16M thread_stack = 8M #40-50 thread_cache_size = 50 #orderby groupby sort sort_buffer_size = 64M #same myisam_sort_buffer_size = 400M #temp table creates when group_by tmp_table_size = 3000M #tables in memory max_heap_table_size = 3000M #on disk open_files_limit = 10000 table_cache = 10000 join_buffer_size = 5M # This replaces the startup script and checks MyISAM tables if needed # the first time they are touched myisam-recover = BACKUP #myisam_use_mmap = 1 max_connections = 200 thread_concurrency = 8 # # * Query Cache Configuration # #more ignored query_cache_limit = 50M query_cache_size = 210M #on query cache query_cache_type = 1 # # * Logging and Replication # # Both location gets rotated by the cronjob. # Be aware that this log type is a performance killer. #log = /var/log/mysql/mysql.log # # Error logging goes to syslog. This is a Debian improvement :) # # Here you can see queries with especially long duration log_slow_queries = /var/log/mysql/mysql-slow.log long_query_time = 1 log-queries-not-using-indexes # # The following can be used as easy to replay backup logs or for replication. # note: if you are setting up a replication slave, see README.Debian about # other settings you may need to change. #server-id = 1 #log_bin = /var/log/mysql/mysql-bin.log server-id = 1 log-bin = /var/lib/mysql/mysql-bin #replicate-do-db = gate log-bin-index = /var/lib/mysql/mysql-bin.index log-error = /var/lib/mysql/mysql-bin.err relay-log = /var/lib/mysql/relay-bin relay-log-info-file = /var/lib/mysql/relay-bin.info relay-log-index = /var/lib/mysql/relay-bin.index binlog_do_db = 24avia expire_logs_days = 10 max_binlog_size = 100M read_buffer_size = 4024288 innodb_buffer_pool_size = 5000M innodb_flush_log_at_trx_commit = 2 innodb_thread_concurrency = 8 table_definition_cache = 2000 group_concat_max_len = 16M #binlog_do_db = gate #binlog_ignore_db = include_database_name # # * BerkeleyDB # # Using BerkeleyDB is now discouraged as its support will cease in 5.1.12. #skip-bdb # # * InnoDB # # InnoDB is enabled by default with a 10MB datafile in /var/lib/mysql/. # Read the manual for more InnoDB related options. There are many! # You might want to disable InnoDB to shrink the mysqld process by circa 100MB. #skip-innodb # # * Security Features # # Read the manual, too, if you want chroot! # chroot = /var/lib/mysql/ # # For generating SSL certificates I recommend the OpenSSL GUI "tinyca". # # ssl-ca=/etc/mysql/cacert.pem # ssl-cert=/etc/mysql/server-cert.pem # ssl-key=/etc/mysql/server-key.pem [mysqldump] quick quote-names max_allowed_packet = 500M [mysql] #no-auto-rehash # faster start of mysql but no tab completition [isamchk] key_buffer = 32M key_buffer_size = 512M # # * NDB Cluster # # See /usr/share/doc/mysql-server-*/README.Debian for more information. # # The following configuration is read by the NDB Data Nodes (ndbd processes) # not from the NDB Management Nodes (ndb_mgmd processes). # # [MYSQL_CLUSTER] # ndb-connectstring=127.0.0.1 # # * IMPORTANT: Additional settings that can override those from this file! # The files must end with '.cnf', otherwise they'll be ignored. # !includedir /etc/mysql/conf.d/ Please, help me make it stable. Memory used /etc/mysql # free total used free shared buffers cached Mem: 32930800 32766424 164376 0 139208 23829196 -/+ buffers/cache: 8798020 24132780 Swap: 33553328 44660 33508668 Maybe my problem not in memory, but MySQL stops every day. As you can see, cache memory free 24 gb. Thank to Michael Hampton? for correction. Load overage on server 3.5. Maybe hdd or another problem? Maybe my config not optimal for 30gb InnoDB ?

  Read the article

• Windows 7, Conexant High Def Audio drivers not working on Lenovo R61i

  - by Tawani

  I just installed Windows 7 ultimate on my Lenovo ThinkPad R61i. Everything works fine but I don't get any sound. Driver update says I have the latest version installed but my sound still doesn't work. I have searched and asked questions on Lenovo forums but still no answers.

  Read the article

• RDP for High DPI Monitors?

  - by Joey

  A client is having some problems with their laptop. They use RDP to remote into their work PC, but the laptop they are using is a small 13" Sony Vaio laptop, but with 1920x1080 resolution. Everything is pretty small on the laptop anyway, but the problem is much worse after connecting with RDP, where everything is almost unreadable. I have done the obvious with changing the resolution on the server, the RDP size, forced scaling on the terminal server etc, but nothing has worked. Something else which I would normally do is change the laptop resolution to something a little lower, but the laptop only has 2 resolution settings, the big one, and a 1024x768 (wrong ratio). Any ideas?

  Read the article

• Old CRT screen's high resolution doesn't work anymore on windows 7

  - by Mixxiphoid

  One year ago I decided to switch from Windows XP to Windows 7. I had a 17" CRT monitor with a screen resolution of 1600x1200 which worked fine on Windows XP. While installing Windows 7 everything went well until Windows 7 was going to install the video card its driver. Windows 7 puts the screen to its recommended resolution and my screen became black. I waited a few minutes to be sure the installation was finished. I turned off the computer by hand and restarted the computer on a resolution of 800x640. When windows 7 was done installing I went to screen resolutions and the resolution of 1600x1200 was on the top of the list with '(recommended)' next to it. I tried putting it on 1600x1200 but again my screen went black. I installed all windows 7 updates including the video card driver from the NVidia site (NOT from Windows 7). I tried about everything to make it work on 1600x1200 but with no succes. The highest resolution I got with the crt monitor was 1280x1024. I had a TFT screen which had 1280x1024 as max resolution and had better colors, so I used that one till today. My video card is 9600GT and my power supply is beyond sufficient. I even tried to install the driver I had on XP to see if it worked, but no results. I tried classic mode on windows 7, changed the dpi, the frequentie and the monitor settings, but nothing worked. I really like a vertical resolution of 1200, but it seems today I'm bound to all those standard monitors with a resolution of 1980x1024... Can anybody explain to me what the cause is that it worked on Windows XP but not on Windows 7? And maybe a solution to the problem (I actually gave up on getting it fixed...) Thanks a lot in advance. SOLUTION I downloaded the according monitor driver and installed it. Next I rebooted my computer on low resolution (800x640) and connected the CRT monitor. When Windows 7 booted successfully I went to computer management and 'update the driver' of my monitor. I manually selected 'Generic PnP monitor' and made that one active. I want to advanced settings at 'Screen resolution' and selected the mode '1600x1200 (32-bit) 80 Hertz (95 Hertz did not work). Now I had my resolution on 1600x1200. I repeated the earlier step to select the original monitor again instead of the Generic monitor. Quite a way to solve this problem, but it worked! Thanks a lot you all.

  Read the article

• OpenVPN multiple servers on the same subnet, high availability

  - by andre

  Hey everyone. Let me start by saying that my Linux experience isn't super awesome but I can usually find my way around things easily. Over at work we have an OpenVPN setup that's been due for some improvement for a while now. The main server (tap mode) runs in our office, behind a rather slow DSL connection. The main problem is that, since I'm usually out of the office, every time I want to access something on the virtual network I have to go through that server to get anywhere else. We have two servers up on 100 Mbit connections that we use for development and production purposes, about 3 more servers in the office (one of them behind a different T1 line for VOIP) and about two dozen clients who use the network on a daily basis from various locations. We've had situations where network routing (outside of our control) would not allow people to reach our main OpenVPN server whilst the other locations were connectable. Also any time someone outside the office wants to fetch something from any of the servers (say, a 500 MB code repository), a whopping 20 KB/s download speed is just unacceptable these days (did I mention slow DSL? ok). We had to implement traffic shaping on this server since maxing out this connection was fairly trivial. I had the thought of running two (or more) OpenVPN servers in the network. These would have to have the same subnet though, as our application relies on virtual network's IP addresses for some of its core functionality. The clients would also preferably retain the same IP addresses but that's not vital. For simplicity, lets call the current server office and the second server I'm setting up, cloud. Call the server on the T1 phone. This proved to be rather complex because as soon as I connect to cloud, I cannot see office. Any routes to a server that would go through office also do not work while I'm connected to cloud (no ping, nothing) and vice-versa. There's no rules for iptables that would be blocking the traffic either. Recently I came across this article on linuxjournal but the solution they provide seems to only cover the use of two servers and somewhat outdated (can't even find much documentation, their wiki is offline). They also state that adding more servers would be a complex task. Ideally I would like to keep the existing server office running the virtual network and also run the OpenVPN daemon on the cloud and phone servers (100 Mbit and very reliable connection, respectively) so that we're on safe ground in case of a hardware failure, DSL failure, etc. So, in essence, I'm looking for a highly available OpenVPN solution (fix, patch, hack, tweak, whatever you want to call it) that will accept connections on multiple hosts (2 or more) whilst keeping the same IP address subnet regardless of the server to which you connect to. Thanks for reading and sorry for the long post, I hope it gets the point across :P

  Read the article

• High availability for databases (DRBD + GFS)?

  - by EvanAlm

  Does it work to have like an MySQL (or any other relational database) on the GFS (with DRBD) and have multiple nodes reading and writing to it? Is that the "best" way of providing a HA database/application setup if so? Is RHEL (cluster suite) a good way to set up this? (or centos)

  Read the article

• SAN/NAS with high availability?

  - by netvope

  I have two servers that I plan to use for storage. Each of them has a few SATA disks directly attached. I want the storage to be available even if one of the storage servers is down (preferably the clients wouldn't even notice that the fail-over, although I'm not sure if this is possible). The clients may access the storage via NFS and samba, but this is not a must; I could use something else if needed. I found this guide, Installing and Configuring Openfiler with DRBD and Heartbeat, which apparently does the thing I want. It relies on three components, Openfiler, DRBD, and Heartbeat, and all three of them need to be configured separately. I'm wondering are there simpler solutions? Is using DRBD+Heartbeat the best practice for a situation like mine? I'm also interested to know if there are alternatives that don't depend on DRBD.

  Read the article

< Previous Page | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >