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  • Page allocation failures on iSCSI storage

    - by Dave
    We have a CentOS 6.3 iscsi server (16GB RAM) running on Infiniband bus (ipoib). When the load is high I can see multiple errors: Sep 3 23:22:20 stor4 kernel: tgtd: page allocation failure. order:2, mode:0x20 Sep 3 23:22:20 stor4 kernel: Pid: 3637, comm: tgtd Not tainted 2.6.32 #1 Sep 3 23:22:20 stor4 kernel: Call Trace: Sep 3 23:22:20 stor4 kernel: [] ? __alloc_pages_nodemask+0x77f/0x940 Sep 3 23:22:20 stor4 kernel: [] ? kmem_getpages+0x62/0x170 Sep 3 23:22:20 stor4 kernel: [] ? fallback_alloc+0x1ba/0x270 Sep 3 23:22:20 stor4 kernel: [] ? cache_grow+0x2cf/0x320 Sep 3 23:22:20 stor4 kernel: [] ? ____cache_alloc_node+0x99/0x160 Sep 3 23:22:20 stor4 kernel: [] ? pskb_expand_head+0x64/0x270 Sep 3 23:22:20 stor4 kernel: [] ? __kmalloc+0x189/0x220 Sep 3 23:22:20 stor4 kernel: [] ? pskb_expand_head+0x64/0x270 Sep 3 23:22:20 stor4 kernel: [] ? __pskb_pull_tail+0x2aa/0x360 Sep 3 23:22:20 stor4 kernel: [] ? tcp_init_tso_segs+0x37/0x50 Sep 3 23:22:20 stor4 kernel: [] ? dev_queue_xmit+0x4bb/0x6f0 Sep 3 23:22:20 stor4 kernel: [] ? neigh_connected_output+0xbd/0x100 Sep 3 23:22:20 stor4 kernel: [] ? ip_finish_output+0x237/0x310 Sep 3 23:22:20 stor4 kernel: [] ? ip_output+0xb8/0xc0 Sep 3 23:22:20 stor4 kernel: [] ? __ip_local_out+0x9f/0xb0 Sep 3 23:22:20 stor4 kernel: [] ? ip_local_out+0x25/0x30 Sep 3 23:22:20 stor4 kernel: [] ? ip_queue_xmit+0x190/0x420 Sep 3 23:22:20 stor4 kernel: [] ? sock_aio_write+0x167/0x180 Sep 3 23:22:20 stor4 kernel: [] ? tcp_transmit_skb+0x3fe/0x7b0 Sep 3 23:22:20 stor4 kernel: [] ? tcp_write_xmit+0x1fb/0xa20 Sep 3 23:22:20 stor4 kernel: [] ? __tcp_push_pending_frames+0x30/0xe0 Sep 3 23:22:20 stor4 kernel: [] ? tcp_push_pending_frames+0x33/0x40 Sep 3 23:22:20 stor4 kernel: [] ? do_tcp_setsockopt+0x3d6/0x480 Sep 3 23:22:20 stor4 kernel: [] ? tcp_setsockopt+0x2a/0x30 Sep 3 23:22:20 stor4 kernel: [] ? sock_common_setsockopt+0x14/0x20 Sep 3 23:22:20 stor4 kernel: [] ? sys_setsockopt+0x7f/0xe0 Sep 3 23:22:20 stor4 kernel: [] ? system_call_fastpath+0x16/0x1b Sep 3 23:22:20 stor4 kernel: Mem-Info: Sep 3 23:22:20 stor4 kernel: Node 0 DMA per-cpu: Sep 3 23:22:20 stor4 kernel: CPU 0: hi: 0, btch: 1 usd: 0 Sep 3 23:22:20 stor4 kernel: CPU 1: hi: 0, btch: 1 usd: 0 Sep 3 23:22:20 stor4 kernel: CPU 2: hi: 0, btch: 1 usd: 0 Sep 3 23:22:20 stor4 kernel: CPU 3: hi: 0, btch: 1 usd: 0 Sep 3 23:22:20 stor4 kernel: Node 0 DMA32 per-cpu: Sep 3 23:22:20 stor4 kernel: CPU 0: hi: 186, btch: 31 usd: 183 Sep 3 23:22:20 stor4 kernel: CPU 1: hi: 186, btch: 31 usd: 23 Sep 3 23:22:20 stor4 kernel: CPU 2: hi: 186, btch: 31 usd: 183 Sep 3 23:22:20 stor4 kernel: CPU 3: hi: 186, btch: 31 usd: 181 Sep 3 23:22:20 stor4 kernel: Node 0 Normal per-cpu: Sep 3 23:22:20 stor4 kernel: CPU 0: hi: 186, btch: 31 usd: 171 Sep 3 23:22:20 stor4 kernel: CPU 1: hi: 186, btch: 31 usd: 29 Sep 3 23:22:20 stor4 kernel: CPU 2: hi: 186, btch: 31 usd: 32 Sep 3 23:22:20 stor4 kernel: CPU 3: hi: 186, btch: 31 usd: 32 Sep 3 23:22:20 stor4 kernel: active_anon:1875 inactive_anon:2473 isolated_anon:0 Sep 3 23:22:20 stor4 kernel: active_file:1243637 inactive_file:2505055 isolated_file:0 Sep 3 23:22:20 stor4 kernel: unevictable:0 dirty:268338 writeback:0 unstable:0 Sep 3 23:22:20 stor4 kernel: free:86050 slab_reclaimable:132377 slab_unreclaimable:23744 Sep 3 23:22:20 stor4 kernel: mapped:1293 shmem:222 pagetables:720 bounce:0 Sep 3 23:22:20 stor4 kernel: Node 0 DMA free:15732kB min:124kB low:152kB high:184kB active_anon:0kB inactive_anon:0kB active_file:0kB inactive_file:0kB unevictable:0kB isolated(anon):0kB isolated(file):0kB present:15332kB mlocked:0kB dirty:0kB writeback:0kB mapped:0kB shmem:0kB slab_reclaimable:0kB slab_unreclaimable:0kB kernel_stack:0kB pagetables:0kB unstable:0kB bounce:0kB writeback_tmp:0kB pages_scanned:0 all_unreclaimable? yes Sep 3 23:22:20 stor4 kernel: lowmem_reserve[]: 0 2172 16060 16060 Sep 3 23:22:20 stor4 kernel: Node 0 DMA32 free:107544kB min:18268kB low:22832kB high:27400kB active_anon:468kB inactive_anon:2364kB active_file:566208kB inactive_file:976112kB unevictable:0kB isolated(anon):0kB isolated(file):0kB present:2224900kB mlocked:0kB dirty:96816kB writeback:0kB mapped:908kB shmem:12kB slab_reclaimable:176940kB slab_unreclaimable:968kB kernel_stack:64kB pagetables:192kB unstable:0kB bounce:0kB writeback_tmp:0kB pages_scanned:0 all_unreclaimable? no Sep 3 23:22:20 stor4 kernel: lowmem_reserve[]: 0 0 13887 13887 Sep 3 23:22:20 stor4 kernel: Node 0 Normal free:220924kB min:116772kB low:145964kB high:175156kB active_anon:7032kB inactive_anon:7528kB active_file:4408340kB inactive_file:9044108kB unevictable:0kB isolated(anon):0kB isolated(file):0kB present:14220800kB mlocked:0kB dirty:976536kB writeback:0kB mapped:4264kB shmem:876kB slab_reclaimable:352568kB slab_unreclaimable:94008kB kernel_stack:2048kB pagetables:2688kB unstable:0kB bounce:0kB writeback_tmp:0kB pages_scanned:0 all_unreclaimable? no Sep 3 23:22:20 stor4 kernel: lowmem_reserve[]: 0 0 0 0 Sep 3 23:22:20 stor4 kernel: Node 0 DMA: 1*4kB 0*8kB 1*16kB 1*32kB 1*64kB 0*128kB 1*256kB 0*512kB 1*1024kB 1*2048kB 3*4096kB = 15732kB Sep 3 23:22:20 stor4 kernel: Node 0 DMA32: 16305*4kB 4381*8kB 353*16kB 8*32kB 1*64kB 1*128kB 0*256kB 1*512kB 1*1024kB 0*2048kB 0*4096kB = 107900kB Sep 3 23:22:20 stor4 kernel: Node 0 Normal: 14548*4kB 14808*8kB 2420*16kB 31*32kB 5*64kB 0*128kB 0*256kB 0*512kB 0*1024kB 0*2048kB 1*4096kB = 220784kB Sep 3 23:22:20 stor4 kernel: 3748822 total pagecache pages Sep 3 23:22:20 stor4 kernel: 0 pages in swap cache Sep 3 23:22:20 stor4 kernel: Swap cache stats: add 0, delete 0, find 0/0 Sep 3 23:22:20 stor4 kernel: Free swap = 975864kB Sep 3 23:22:20 stor4 kernel: Total swap = 975864kB Sep 3 23:22:20 stor4 kernel: 4194303 pages RAM Sep 3 23:22:20 stor4 kernel: 126915 pages reserved Sep 3 23:22:20 stor4 kernel: 3753534 pages shared Sep 3 23:22:20 stor4 kernel: 213500 pages non-shared TCP stack and VM config: net.core.rmem_max = 83886080 net.core.wmem_max = 83886080 net.core.rmem_default = 65536 net.core.wmem_default = 65536 net.ipv4.tcp_rmem = 40960 1048560 4194304 net.ipv4.tcp_wmem = 40960 196608 4194304 net.ipv4.tcp_mem = 16388608 16388608 16388608 vm.min_free_kbytes=135168 Additional tweaks: /sbin/blockdev --setra 16384 /dev/sdb echo 2048 /sys/block/sdb/queue/nr_requests Where might the problem be? Thank you.

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  • new pc..noisy fan

    - by BRQ
    It's a new build, but it's always had noisy fans. From start to end, they will not stop running. The case is a cooler master which I believe comes with a fan that is not controlled by BIOS (according to technician), so that may be the source of the problem..but my lack of knowledge on the matter prevents me from making a reasonable assessment. Here are readings from CoreTemp: Model: Intel Core i7 870 (Lynnfield) Platform: LAG 1156 (Socket H) Frequency: 1658.23MHz (132.66 x 12.5) Tj. Max: 99 C Core #0: low= 34 C; high= 42 C; Load= 0% Core #1: low 31 C; high 42 C; load= 0% Core #3: 35 C; 42 C; 0% Any input will be appreciated.

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  • Amazon EC2- many micro-instances vs single small/medium instance

    - by shashankaholic
    I have a chat application using stack of Openfire, Tomcat6 and MySQL. Currently, i have installed all these servers on single Linux micro-instance(613 MB memory). Even in low user base 10-20 i am encountering CPU overload which is quite obvious here. As, i am new to Amazon EC2 can somebody suggest me how to scale up my architecture according to traffic use? should i use separate micro instances for every app server(openfire,mysql,tomcat6) should i use single small or medium instance for whole server stack. Some factors in context: high reliance on MYSQL high memory usage due to file transfer web-application interacting with other Amazon service like S3,SES

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  • Amazon EC2- micro-instance vs single small/medium instance

    - by shashankaholic
    I have a chat application using stack of Openfire, Tomcat6 and MySQL. Currently, i have installed all these servers on single Linux micro-instance(613 MB memory). Even in low user base 10-20 i am encountering CPU overload which is quite obvious here. As, i am new to Amazon EC2 can somebody suggest me how to scale up my architecture according to traffic use? should i use separate micro instances for every app server(openfire,mysql,tomcat6) should i use single small or medium instance for whole server stack. Some factors in context: high reliance on MYSQL high memory usage due to file transfer web-application interacting with other Amazon service like S3,SES

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  • cpu usage nearly 100 constantly windows xp sp3

    - by user33882
    When running some heavy applications like games or virtual box for some time.. the cpu usage is normal for some 15 mins and then suddently cpu usage increases. even after i quit the heavy apps and when i start some other apps, the cpu usage of the new opened application is also very high.. this continues until i reboot the system. There is single particular process occupy more cpu. All the processes cpu usage is little high than normal.. Any solutions?

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  • How do I pick a motherboard?

    - by EpsilonVector
    When building your own computer one part was always a mystery to me: the motherboard. Picking a CPU/GPU/memory is easy- you just figure out where the various chips are in the low end to high end scale, do a little market research on what current games demand, and pick the parts from their respective continuums of low-to-high-end models. A mother board is more complicated though. Its features are not as obvious as "this motherboard is faster than that motherboard". Now you need to deal with part compatibilities, bus speeds, maybe power management stuff, etc. I'm interested in a short guide for selecting a motherboard, especially- what pitfalls to avoid (for example, can bus speed become a bottleneck?). To clarify: I'm not looking for motherboard recommendations. I'm looking for guidance regarding how to evaluate the fitness of a motherboard given the rest of the computer parts.

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  • SSH and Latent Connections (e.g., satellite connections)

    - by user71494
    Most of the week I live in the city where I have a typical broadband connection, but most weekends I'm out of town and only have access to a satellite connection. Trying to work over SSH on a satellite connection, while possible, is hardly desirable due to the high latency ( 1 second). My question is this: Is there any software that will do something like buffering keystrokes on my local machine before they're sent over SSH to help make the lag on individual keystrokes a little bit more transparent? Essentially I'm looking for something that would reduce the effects of the high latency for everything except for commands (e.g., opening files, changing to a new directory, etc.). I've already discovered that vim can open remote files locally and rewrite them remotely, but, while this is a huge help, it is not quite what I'm looking for since it only works when editing files, and requires opening a connection every time a read/write occurs. (For anyone who may not know how to do this and is curious, just use this command: 'vim scp://host/file/path/here)

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  • Why are my downloads up to ~1500KByte/sec only, when the ADSL connection locks at 13611Kbit/s?

    - by leladax
    No uploading is going on other than the overhead of downloading which appears to be not high for the abilities of the connection: Only about 30-40KByte/s when the router locks at 1012Kb/s and other direct uploads or uploading overheads can reach more than 100KByte/sec so I don't think it's a congestion at uploading that is doing it. Is there something I miss? Because I assume 13611Kbit/s should be ~1701Kbyte/sec. Is it an overheard at the ADSL level I don't understand? Could it be the ISP doing it? If it's active throttling it can't be on single connections since 2 high speed connections still go up to ~1500KByte/sec. It's not an example on torrents or other complex situations. The tests were on Ethernet, but I doubt the results would be different on wireless. I wonder if the settings of those connections at my end could be doing it, e.g. MTU settings, though I haven't touched the defaults of a common Realtek NIC.

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  • cpu usage nearly 100 constantly windows xp sp3

    - by user23954
    When running some heavy applications like games or virtual box for some time.. the cpu usage is normal for some 15 mins and then suddently cpu usage increases. even after i quit the heavy apps and when i start some other apps, the cpu usage of the new opened application is also very high.. this continues until i reboot the system. There is single particular process occupy more cpu. All the processes cpu usage is little high than normal.. Any solutions?

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  • monitoring TCP/IP performance on Solaris

    - by Andy Faibishenko
    I am trying to tune a high message traffic system running on Solaris. The architecture is a large number (600) of clients which connect via TCP to a big Solaris server and then send/receive relatively small messages (.5 to 1K payload) at high rates. The goal is to minimize the latency of each message processed. I suspect that the TCP stack of the server is getting overwhelmed by all the traffic. What are some commands/metrics that I can use to confirm this, and in case this is true, what is the best way to alleviate this bottleneck?

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  • How to tune system settings for mongoDB on Linux?

    - by jsh
    Trying to squeeze a lot out of one question here -- please bear with me. Although the MongoDB man pages make several useful recommendations about system settings like ulimit (http://docs.mongodb.org/manual/reference/ulimit/), and other production factors (http://docs.mongodb.org/manual/administration/production-notes/) they seem mysteriously silent on things like virtual memory and swap settings. The closest we get to a hint is that "...the operating system’s virtual memory subsystem manages MongoDB’s memory..." (http://docs.mongodb.org/manual/faq/fundamentals/#does-mongodb-require-a-lot-of-ram). Running the same job - high writes and high reads on about 10,000,000 records in a single collection -- on my 4-processor, 4GB RAM macbook and an 8-core ubuntu box with 64GB RAM I saw dramatically WORSE read performance on the linux box with factory settings, and could hear the disk constantly spinning, indicating high I/O and presumably swapping. Yes, other things were happening on the box, but there was plenty of free RAM, disk space, etc.; furthermore, I did not see evidence that Mongo was expanding to take advantage of all that free RAM as it is touted to do. Linux box default settings were as follows: vm.swappiness =60 vm.dirty_background_ratio = 10 vm.dirty_ratio = 20 vm.dirty_expire_centisecs =3000 vm.dirty_writeback_centisecs=500 I hazarded some guesses looking at docs and blogs for other types of databases (Oracle, MYSQL, etc.), experimented, and adjusted as below. vm.swappiness=10 vm.dirty_background_ratio=5 vm.dirty_ratio=5 vm.dirty_writeback_centisecs=250 vm.dirty_expire_centisecs=500 I saw some immediate apparent improvements in read time. However, when I ran my test jobs again, read performance continued to be painfully sluggish during heavy writes. Then, I REBUILT the collection from an available data source - and suddenly I can read at 1ms or less per record WHILE doing the write job! So the question is really two-fold: 1) What are appropriate VM settings for MongoDB on Linux? 2) (bonus) Does Mongo do some checking or optimization with the OS while data is being built? In other words, if I have built a large data set with suboptimal VM or I/O settings, does Mongo make assumptions during the memory-mapping process that will fail to take advantage of optimizations down the road? Obviously I don't fully grok memory mapping under the hood (I was hoping I wouldn't have to). Any help appreciated...thanks! -j

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  • AppFabric named cache, what happens if you lose a cache host?

    - by Liam
    I'm getting my head around how app fabric clustering works and there's something I'm not sure about. Given a structure where we have one named cache, with two lead hosts and (say) three cache hosts and high availability turned off and the lead host(s) performing the management role. When one cache host goes down do you loose the data that was on that cache host? In this MSDN article it states: Data on the non-lead hosts would be lost (assuming high availability was not enabled), but the rest of the cluster could continue serving and storing data But I was unsure if redundancy is built into the system. Would you loose x amount of data or would one of the other cache hosts store this data also and pick up the slack?

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  • How is it possible for SSD's drives to have such a good latency?

    - by tigrou
    First time i read some information about SSD's, i was surprised to learn they internally use NAND flash chips. This kind of memory is generally slow (low bandwidth) and have high latency while SSD's are just the opposite. But here is how it works : SSD drives increase their bandwidth by using several NAND flash chips in parallel. In other words, they do some data striping (aka RAID0) across several chips (done by the controller). What i don't understand is how SSD's drives have such a low latency, whereas they are using NAND chips? (or at least lot better than what a typical single NAND chip would do) EDIT: I think under-estimate NAND chip capabilities. USB drives, while powered by NAND's are mostly limited by USB protocol (which have a pretty high latency) and the USB controller. That explain their poor performance in some cases.

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  • Does a hard drive "working hard", i.e. when defragmenting or otherwise continuously active, significantly affect a laptop's temperature?

    - by Marko
    Trying to diagnose and fix an overheating Acer 5735 laptop, running speedfan and doing general workload to try and cause the overheat conditions. I notice that windows xp is badly fragmented according to defraggler, at 58% fragmentation. So I defrag whilst watching the speedfan window, which was at the start reporting high warning style symbols for all of the sensors. After the defrag, I rebooted and ran a few programs, and even defraggler again and the sensors in speedfan all reported green i.e. not high. Wondering if there is a correlation between windows fragmentation causing the hard drive to work harder and produce more heat inside the laptop? dont want to just assume that the problems are resolved, so either speedfan is not accurate enough or fragmentation can lead to additional hard drive heat? All comments or suggestions welcome.

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  • SSD Performance for PHP?

    - by Andrew Fashion
    My programmer just built an application with PHP using Doctrine ORM (will be a high traffic social networking website), and it's very heavy in PHP/Apache and CPU. The queries are wonderfully fast, and MySQL is barely using any CPU, it's just Apache. I was curious to if an SSD would help speed up PHP/Apache, because I know the bottleneck is in PHP reading multiple files, class files, and loading up a bunch of data. So common sense makes me think if PHP is reading multiple PHP files, an SSD would only help as far as read/write? I was thinking of doing a high performance SSD for the PHP application, but for user image uploads, I would just continue using a 15k SAS. Is there any performance issues regarding using an SSD in this kind of situation? And would it prove to help speed up PHP/Apache, and help the CPU problem out?

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  • Is Protune for video only or may be used for photo too?

    - by Green
    I have Hero3+ Black Edition. I can't understand if Protune is for video only or may be applied for photos? The manual says it is both for video and for photo (page 35): High-Quality Image Capture Protune’s high data rate captures images with less compression, giving content creators higher quality for professional productions. Film/TV Rate Standard While shooting in Protune, you have the option of recording video in cinema quality 24 fps to easily intercut GoPro content with other source media without the need to perform fps conversion. But at the same time their site says that Protune is for video only: To record Protune footage, you’ll need to turn Protune ON in your camera’s settings menu. What for is Protune? Photo? Video? Or both?

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  • FPS lags with new acer aspire 5755G

    - by Calvin
    The title is kind of self explanatory, as my new laptop lags and has FPS drops. For example my FPS in Starcraft 2 hovers around 20 and constantly drops to 1 with low settings when I know it should run smoothly in high settings. I've updated my Nvidia driver, and set the preferred global settings to the 'High-performance Nvidia processor'. Here are some screen shots. Screen Shot One - Screen Shot Two - Screen Shot Three I'm not sure how to fix this problem, any feed back would be nice!

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  • SSH and Latent Connections (e.g., satellite connections)

    - by user71494
    Most of the week I live in the city where I have a typical broadband connection, but most weekends I'm out of town and only have access to a satellite connection. Trying to work over SSH on a satellite connection, while possible, is hardly desirable due to the high latency ( 1 second). My question is this: Is there any software that will do something like buffering keystrokes on my local machine before they're sent over SSH to help make the lag on individual keystrokes a little bit more transparent? Essentially I'm looking for something that would reduce the effects of the high latency for everything except for commands (e.g., opening files, changing to a new directory, etc.). I've already discovered that vim can open remote files locally and rewrite them remotely, but, while this is a huge help, it is not quite what I'm looking for since it only works when editing files, and requires opening a connection every time a read/write occurs. (For anyone who may not know how to do this and is curious, just use this command: 'vim scp://host/file/path/here)

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  • Apache stops serving requests when connections increase

    - by Gunjan
    The values for MaxClients, ServerLimit etc parameters are quite high (4000). Available RAM on the server is high too (~8G). Load average remains below 1 on a 24 core CPU. But when the number of visitors on the website increase apache just stops serving requests. The apache error log is blank and access log shows no more requests coming in. Restarting apache makes it work again until the number of requests increases again. Any ideas where to start looking? UPDATE Getting the below errors in apache error log on running it with LogLevel Debug [info] server seems busy, (you may need to increase StartServers, or Min/MaxSpareServers), spawning 32 children, there are 479 idle, and 1027 total children

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  • Is there a way to get a 10000x10000 virtual resolution desktop?

    - by pingo
    I have a java applet map viewer and I'd like to plot out the map it displays. To do that I need to open it in a high enough resolution to avoid too much stitching. Is there any possible way I could get a desktop with such high resolution? So far I've been able to use panning 2560x1920 by booting windows 7 in VmWare Player. Would it be possible to get it higher? Maybe this would be doable on Linux? The whole thing can be laggy as hell as long as it will render my screenshot...

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  • Can an ESX server under heavy load cause cpu spikes on guest VM's?

    - by ReferentiallySeethru
    So we have a number of vm's running on an ESX 4.1 server for product testing. The ESX Server is at times under heavy load. We've been experiencing high CPU levels during some use cases, but we can't always duplicate this. If the ESX server as a whole is under heavy load could this cause guest machines to show high CPU usage? To ask it a different way, if the guest machines require more cpu resources than the server has, how does this affect CPU usage as indicated by the OS and process?

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  • Server Overload Due To Log File

    - by emresavas
    cPanel sent me the following email: IMPORTANT: Do not ignore this email. This is cPanel stats runner on ***.***.com! While processing the log files for user ***, the cpu has been maxed out for more than a 6 hour period. The current load/uptime line on the server at the time of this email is 04:41:14 up 15 days, 22:36, 0 users, load average: 7.66, 7.84, 8.00 You should check the server to see why the load is so high and take steps to lower the load. If you want stats to continue to run even with a high load; Edit /var/cpanel/cpanel.config and change extracpus to a number larger then 0 (run /usr/local/cpanel/startup afterwards to pickup the changes). How can I lower the load?

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  • Which type of memory is faster than average for server use?

    - by Tony_Henrich
    I am building a server computer which will be used for SQL Server and I am planning to use like 32G+ of RAM and putting the databases in memory. (I know all about data loss issues when power is gone). I haven't been up to date with the new types of memory sticks out there. What kind of memory should I get which is faster than average and not very expensive? I am buying a lot of ram so I am looking for memory that's above average but below high end if high end is very expensive. (I will be using Windows Server 2008 R2 Standard or Windows HPC Server 2008 R2)

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  • process ksoftirqd consumes permanent 15% CPU load [closed]

    - by markus
    Possible Duplicate: Anyone else experiencing high rates of Linux server crashes during a leap second day? The process ksoftirqd/0 uses permanent 15% CPU on our debian squeeze server. 4 root 20 0 0 0 0 R 15.0 0.0 850:59.17 ksoftirqd/0 I already read that this can have various reason like Full harddisk or high network traffic. In our case we do have more or less low network traffic and enough space on hard disk. How can I analyse what causes ksoftirqd/0 to use permanently 15% CPU?

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  • non-mapped virtual memory & total number of connections

    - by tszming
    We have two MongoDB data nodes (replica set) - Primary & Secondary. I noticed that the non-mapped virtual memory is relatively high and wondering if they are hurting our MongoDB performance (The server usually peaked at around 6-7K queries per sec). In MMS, it was stated: "The most common case of usage of a high amount of memory for non-mapped is that there are very many connections to the database." So we checked the memory usage with db.serverStatus().mem in our Secondary: { "bits" : 64, "resident" : 6846, "virtual" : 416797, "supported" : true, "mapped" : 205549, "mappedWithJournal" : 411098, "note" : "virtual minus mapped is large. could indicate a memory leak" } Note: We are using 2.0.4 and now the default stack size should be 1MB per connection. The current number of connections is around 1.1K, but the non-mapped virtual memory (virtual-mappedWithJournal) is around 5699 MB. The trend is quite stable so I can't say there is a leak here, but where is the memory gone? Any idea?

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