Search Results

Search found 19483 results on 780 pages for 'load average'.

Page 172/780 | < Previous Page | 168 169 170 171 172 173 174 175 176 177 178 179  | Next Page >

• Storage Technology for the Home User

  <b>Linux Magazine:</b> "Sometimes you just have to get excited about what you can buy, hold in your hand, and use in your home machines. Let's look at some cool storage technology that the average desktop user can tackle."

  Read the article

• Removing the default <a href> action

  - by user1285198

  Is there any way to stop the page from loading the next page when someone clicks on a <a> tag instead i want it to give the href value so for example "www.google.com" and then do a jquery .load() which is like this $(".window").load(hrefvalue); i know i could just change all the href values to fire up a javascript function but that takes a bit of time so im just looking for the easiest way. so i want it to do stop the page loading the next part on a <a href click. get the href value e.g http://www.google.com. and then do a jquery (.load() or $.ajax()) call for the href page.

  Read the article

• C# - Saving a DataGridView to file and loading

  - by Rekar

  Hello, To start off, what I have is a simple Winforms app, with just a save and load button, and with a datagridview control to hold data. What I am looking to do is input some data into the control, hit the save button, and it save all the data to a file locally on the computer, and when I hit load, it loads the file and populates the control appropriately, keeping all rows, columns, and data the same as when saved. Although it sounds fairly simple to me, I cant seem to figure a good way to save and load the data. Can I get a few pointers or examples to get myself started? Thank you.

  Read the article

• Why You Need to Upgrade Your Website Now

  Why Upgrade? Today, having a website for your business is a must. If you are the kind of business that cannot accept anything below average, then you have to take a good look at your existing website right now and see if it is producing great results for you and the business you run.

  Read the article

• Processing a method after the view has loaded..

  - by Susanth

  Hi ! I have implemented a subview which is supposed to load immediately when I click a button in the parent view. After loading the subview(which is basically holding an activityindicator), the program is supposed to process a method(which gets data from a server, so takes time) in it. However, I am unable to do it. What happens now is, when I click the button on the parent view, it processes the method first and only after that does the subview load on screen. Why is this so? Is there any specific functions I could use to make my method load only after the view has loaded?

  Read the article

• Include only the latest/newest associated record with active record?

  - by railsnewbie

  is it possible to load only the latest associated record of an associated table? an example: class author attr_accessible :first_name, :last_name, :birthday has_many :books end class book attr_accessible :pages, :date of publication, :title belongs_to :author end Is there a way to generate a scope to load only the newest released book the author wrote? Or the book with the most pages? I know, that I could include or join all books. But I don't know if its possible to load only a specific book for each author. So that I could do a query like this: Author.authors_and_their_newest_book So that I could get these results first_name_author_1, last_name_author_1, birthday_author_1, pages_book_3, date of publication_book_3, title_book_3 first_name_author_2, last_name_author_2, birthday_author_2, pages_book_5, date of publication_book_5, title_book_5 first_name_author_3, last_name_author_3, birthday_author_3, pages_book_9, date of publication_book_9, title_book_9 ...

  Read the article

• Windows Phone 7 Control Caching - 'Element is already the child of another element'

  - by will

  I'm trying to speed up my windows phone 7 page load times. I have a 'static' page that has a dynamically created in a Panorama control - static meaning that the content never changes. On the first load I look at my config file, create the individual PanoramaItem controls and add them to the main Panorama control. I'm trying to keep a List in a static place so that the initial creation would only happen once and I could just add a fully rendered version to my Panorama control when the page was rendered. Works fine on first load, but when I try to add the cached PanoramaItems to the Panorama control I get the message "Element is already the child of another element". This makes sense since I already added before. But I can see a way to disconnect the PanoramaItems with the first Panorama control... I could be going about the control caching thing all wrong as well... Let me know if there's another way to do this.

  Read the article

• removing image tag from memory

  - by Chapsterj

  I have seen some code to check if a background image on a div is loaded. What they are doing is adding a img tag to memory but storing it in a variable and using that to see if the image is loaded with the load event. My question is does the $img tag stay in memory and how would I be able to remove that tag when the load event has been called. var $div = $('div'), bg = $div.css('background-image'); if (bg) { var src = bg.replace(/(^url\()|(\)$|[\"\'])/g, ''), $img = $('<img>').attr('src', src).on('load', function() { // do something, maybe: $div.fadeIn(); }); } }); I got this code above from this post

  Read the article

• SEO Pricing

  SEO is very important to the online business with on average the number of leads the search engines produce being anything from 60% - 100% of the visitors to a website. So as an SEO, how do you work out your SEO pricing?

  Read the article

• Rails: How to preload a message to user

  - by Michael

  I have a Rails based prelaunch site that has some rotating background images (which are important for selling the idea of the site) that are taking too long to load, such that the users are leaving the site before they load. The only thing they're seeing is the email submission box. What's a good way to show a message to the users that the site will take some time to load but then have that message disappear after a reasonable period of time. I'm guessing a jQuery fadeOut() with a timer, but I'm not sure how long to set the timer for, because I'm not sure at what time it would start counting. Any suggestions?

  Read the article

• Avoid a Frustrating Website!

  How many times have you come across a website that either does not work or it has issues? We find them all the time and there is almost an endless list of things we find either annoying or not working! For the average person this can be frustrating as often the reason we went to a particular web site was because we were looking for something in particular that that web site supposedly offers.

  Read the article

• Simple: replace div with ajax content (jquery)

  - by user469110

  I followed this thread. I now have: <a href="#" onclick="$('#gc').load('test');">reload</a>... </span> <div id="gc"> empty </div> This is what I am getting: Uncaught exception: TypeError: Cannot convert '$('#gc')' to object Error thrown at line 1, column 0 in <anonymous function>(event): $('#gc').load('test'); What is that? I thought I would be able to select a div and replace the contents with load()?

  Read the article

• Avoid a Frustrating Website!

  How many times have you come across a website that either does not work or it has issues? We find them all the time and there is almost an endless list of things we find either annoying or not working! For the average person this can be frustrating as often the reason we went to a particular web site was because we were looking for something in particular that that web site supposedly offers.

  Read the article

• AsyncTask not do onPostExecute()

  - by brian

  I write a AsyncTask as below: class Load extends AsyncTask<String, String, String> { @Override protected void onPreExecute() { super.onPreExecute(); } @Override protected String doInBackground(String... aurl) { //do job seconds //stop at here, and does not run onPostExecute } @Override protected void onPostExecute(String unused) { super.onPostExecute(unused); wait = false; new Load().execute(); } } And the other method as below: public void click() { new Load().execute(); while(wait) { ; } } The wait is a global boolean value.

  Read the article

• Mysql slowing down my application

  - by user2985991

  my application is taking ages to load because of my database isnt located on my computer.. Anyone have any idea to how improve my performance? public Form1() { Splash splash = new Splash(); splash.Show(); InitializeComponent(); Load(); public void Load() { db.SelectTeam(); db.SelectMatches(); } On db.SelectTeam and SelectMatches I get everything I need from mysql and put into lists... Sorry if it's confusing, but I don't know what to do, and sorry for my bad english EDIT: Here are the querys string query = "SELECT * FROM teams ORDER BY name"; string query = "SELECT * FROM matches ORDER BY date ASC";

  Read the article

• Bad disk performance on HP DL360 with Smarty Array P400i RAID controller

  - by sarge

  I have a HP DL360 server with 4x 146GB SAS disks and a Smart Array P400i RAID controller with 256MB cache. The disks are in RAID 5 (3 disks + 1 hot spare). The server is running VMware ESX 3i. The disk write performance is really bad. Here are some numbers: ns1:~# hdparm -tT /dev/sda /dev/sda: Timing cached reads: 3364 MB in 2.00 seconds = 1685.69 MB/sec Timing buffered disk reads: 18 MB in 3.79 seconds = 4.75 MB/sec ns1:~# time sh -c "dd if=/dev/zero of=ddfile bs=8k count=125000 && sync" 125000+0 records in 125000+0 records out 1024000000 bytes (1.0 GB) copied, 282.307 s, 3.6 MB/s real 4m52.003s user 0m2.160s sys 3m10.796s Compared to another server those number are terrible: Dell R200, 2x 500GB SATA disks, PERC raid controller (disks are mirrored). web4:~# hdparm -tT /dev/sda /dev/sda: Timing cached reads: 6584 MB in 2.00 seconds = 3297.79 MB/sec Timing buffered disk reads: 316 MB in 3.02 seconds = 104.79 MB/sec web4:~# time sh -c "dd if=/dev/zero of=ddfile bs=8k count=125000 && sync" 125000+0 records in 125000+0 records out 1024000000 bytes (1.0 GB) copied, 35.2919 s, 29.0 MB/s real 0m36.570s user 0m0.476s sys 0m32.298s The server isn't very loaded and the VMware Infrastructure Client performance monitor is showing 550KBps average read and 1208KBps average write for the last 30 minutes (highest write rate: 6.6MBps). This has been a problem from the start. Any ideas?

  Read the article

• PHP-FPM and APC for shared hosting?

  - by Tiffany Walker

  We are looking into finding a way to get APC to only create one cache per account / site. This can be done with Fastcgi (last update 2006…) but with Fastcgid APC will have to create multiple caches for multiple processes run by the same account. To get around this problem, we have been looking into PHP-FPM PHP process manager allows multiple PHP processes to share a single APC cache. But from what I have read (I hope I'm wrong) , even if you create a pool per process, all sites accross all pools will share the same APC cache. This brings us back to the same problem as with shared Memcached: it's not secure ! On php-fpm's site I read that you can chroot php-fpm pools and define a specific UID and GID per pool… if this is the case then shouldn't APC have to use this user and not have access to other pools cache ? An article here (in 2011) suggests that you would need to run one process per pool creating multiple launchers on different ports and different config files with one pool per config file : http://groups.drupal.org/node/198168 Is this still neceessary ? If so what would be the impact of running say 800 processes of php-fpm ? Would it be mainly memory ? If so how can I work out what the memory impact would be ? I guess that it would be better to run 800 times php-fpm then to have accounts creating multiple APC caches for a single site ? If on average an account creates a 50MB cache and creates 3 caches per account that makes 150Mb per account which makes 120GB… However if each account uses on average only 50Mb that would make 40GB We will have at least 128GB of ram on our next server so 40GB is acceptable if running 800 x PHP-FPM does not create an overhead of more than 20GB ! What do you think is PHP-FPM the best way to go to provide secure APC cache on shared hosting with a server that has a decent amount of memory ? Or should I be looking at another system ? Thanks !

  Read the article

• Why does traceroute take much longer than ping?

  - by PHP

  How to explain this? C:\Documents and Settings\Administrator>tracert google.com Tracing route to google.com [64.233.189.104] over a maximum of 30 hops: 1 <1 ms <1 ms <1 ms 192.168.0.1 2 7 ms <1 ms <1 ms reserve.cableplus.com.cn [218.242.223.209] 3 108 ms 135 ms 163 ms 211.154.70.10 4 * * * Request timed out. 5 2 ms * 1 ms 211.154.64.114 6 1 ms 1 ms 1 ms 211.154.72.185 7 1 ms 1 ms 1 ms 202.96.222.77 8 2 ms 1 ms 2 ms 61.152.81.145 9 1 ms 2 ms 1 ms 61.152.86.54 10 1 ms 1 ms 1 ms 202.97.33.238 11 2 ms 2 ms 2 ms 202.97.33.54 12 2 ms 1 ms 2 ms 202.97.33.5 13 33 ms 33 ms 33 ms 202.97.61.50 14 34 ms 34 ms 34 ms 202.97.62.214 15 34 ms 186 ms 37 ms 209.85.241.56 16 35 ms 35 ms 44 ms 66.249.94.34 17 34 ms 34 ms 34 ms hkg01s01-in-f104.1e100.net [64.233.189.104] Trace complete. So average time should be :1+7+108+2+1+1+2+1+1+2+2+33+34+34+35+34+34+35+34,which is a lot bigger than ping C:\Documents and Settings\Administrator>ping google.com Pinging google.com [64.233.189.104] with 32 bytes of data: Reply from 64.233.189.104: bytes=32 time=34ms TTL=241 Reply from 64.233.189.104: bytes=32 time=34ms TTL=241 Reply from 64.233.189.104: bytes=32 time=34ms TTL=241 Reply from 64.233.189.104: bytes=32 time=34ms TTL=241 Ping statistics for 64.233.189.104: Packets: Sent = 4, Received = 4, Lost = 0 (0% loss), Approximate round trip times in milli-seconds: Minimum = 34ms, Maximum = 34ms, Average = 34ms

  Read the article

• Nagios NTP, discarding peer

  - by picca

  We're using nagios *check_ntp_time* for monitoring time on our servers. Unfortunately the service is flapping. And reporting a lot of false-positives. It happens everytime for random server in random day time and lasts for ~10-30 minutes. When the problem occurs we get: watch01:~ # /usr/lib/nagios/plugins/check_ntp_time -H lb01 -w 1 -c 2 -v sending request to peer 0 response from peer 0: offset 0.07509887218 sending request to peer 0 response from peer 0: offset 0.07508444786 sending request to peer 0 response from peer 0: offset 0.07499825954 sending request to peer 0 response from peer 0: offset 0.07510817051 discarding peer 0: stratum=0 overall average offset: 0 NTP CRITICAL: Offset unknown| When everything is ok, we get (I used different server to not have to wait): watch01:~ # /usr/lib/nagios/plugins/check_ntp_time -H web02 -w 1 -c 2 -v sending request to peer 0 response from peer 0: offset 0.0002282857895 sending request to peer 0 response from peer 0: offset 0.0002194643021 sending request to peer 0 response from peer 0: offset 0.0002347230911 sending request to peer 0 response from peer 0: offset 0.0002293586731 overall average offset: 0.0002282857895 NTP OK: Offset 0.0002282857895 secs|offset=0.000228s;1.000000;2.000000; We are using: check_ntp_time v1.4.15 (nagios-plugins 1.4.15) on Debian squeeze. Remote ntp daemon is: ntpd - NTP daemon program - Ver. 4.2.4p4 I already found some forums where the problem is described: 1, 2, 3. Every time they edvise to upgrade nagios-plugins, because in version prior to 1.4.13 there was a bug with inserted leap second. But we have already newer version of nagios-plugins.

  Read the article

• where is memory gone (no, not buffers or cache)

  - by Marki

  can anyone tell me where the memory is gone: (no, this time neither buffers nor cache) # free total used free shared buffers cached Mem: 3928200 3868560 59640 0 2888 92924 -/+ buffers/cache: 3772748 155452 Swap: 4192956 226352 3966604 top, sorted by memory, descending: top - 13:42:06 up 1 day, 3:47, 2 users, load average: 0.08, 0.12, 0.36 Tasks: 228 total, 1 running, 227 sleeping, 0 stopped, 0 zombie Cpu0 : 2.0%us, 4.0%sy, 0.0%ni, 90.1%id, 0.0%wa, 0.0%hi, 4.0%si, 0.0%st Cpu1 : 0.0%us, 0.0%sy, 0.0%ni, 0.0%id,100.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 3928200k total, 3868020k used, 60180k free, 2896k buffers Swap: 4192956k total, 226048k used, 3966908k free, 82068k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 3863 root 20 0 902m 199m 3296 S 7 5.2 99:08.77 ndsd 21906 root 20 0 138m 9076 2988 S 0 0.2 0:00.02 sfcbd 2332 root 20 0 126m 4660 1332 S 0 0.1 0:17.72 mono 4243 wwwrun 20 0 683m 4468 668 S 0 0.1 0:07.38 java 2994 root 20 0 202m 2288 1660 S 0 0.1 6:10.02 httpstkd 4338 root 20 0 184m 2240 1112 S 0 0.1 0:00.52 namcd 21898 root 20 0 32368 1832 1256 R 1 0.0 0:00.08 top In fact, some time ago oom kicked in and crashed the system (kernel panic), and I'm afraid we're again not far from that point.... UPDATE # cat /proc/meminfo MemTotal: 3928200 kB MemFree: 51336 kB Buffers: 2964 kB Cached: 72876 kB SwapCached: 29128 kB Active: 233440 kB Inactive: 88040 kB Active(anon): 188920 kB Inactive(anon): 56752 kB Active(file): 44520 kB Inactive(file): 31288 kB Unevictable: 0 kB Mlocked: 0 kB SwapTotal: 4192956 kB SwapFree: 3966824 kB Dirty: 32 kB Writeback: 0 kB AnonPages: 225112 kB Mapped: 11356 kB Shmem: 32 kB Slab: 1624080 kB SReclaimable: 13740 kB SUnreclaim: 1610340 kB KernelStack: 4176 kB PageTables: 10500 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 6157056 kB Committed_AS: 2397684 kB VmallocTotal: 34359738367 kB VmallocUsed: 441372 kB VmallocChunk: 34359246755 kB HardwareCorrupted: 0 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB DirectMap4k: 10240 kB DirectMap2M: 4184064 kB slabtop Active / Total Objects (% used) : 9041019 / 9207548 (98.2%) Active / Total Slabs (% used) : 401132 / 401156 (100.0%) Active / Total Caches (% used) : 91 / 159 (57.2%) Active / Total Size (% used) : 1491537.88K / 1519791.56K (98.1%) Minimum / Average / Maximum Object : 0.02K / 0.17K / 4096.00K OBJS ACTIVE USE OBJ SIZE SLABS OBJ/SLAB CACHE SIZE NAME 4240470 4240319 99% 0.12K 141349 30 565396K pid 2245140 2219675 98% 0.25K 149676 15 598704K size-256 2238090 2210087 98% 0.12K 74603 30 298412K size-128 ...

  Read the article

• Strange performance differences in read/write from/to USB flash drive

  - by Mario De Schaepmeester

  When copying files from my 8GB USB 2.0 flash drive with Windows 7 to a traditional hard drive, the average speed is between 25 and 30 MB/s. When doing the reverse, copying to the USB drive, the speed is 5MB/s average. I have tested this with about 4.5GB of files, a mixture of smaller and larger ones. The observations were the same on both FAT32 and exFAT file systems on the USB drive, NTFS on the internal hard disk. I don't think I can be mistaken in saying that flash memory has a lot higher performance than a spinning hard drive in both terms of reading and writing. For both memory types, reading should be faster than writing too. Now I wonder, how can it be that copying files from a fast read memory to a faster write memory is actually slower than copying files from a fast read memory to a slow write memory? I think that the files are stored in RAM before being copied over too, and there's caching as well, but I don't see how even that could tip the balance. It can only be in the advantage of writing to the USB drive, since it is "closer" to the SATA system than the USB port and it will receive data from the internal SATA HDD faster. Perhaps my way of thinking is all wrong or it just depends on the manufacturer of the USB pen. But I am curious.

  Read the article

• Xorg eating up too much RAM on Ubuntu 9.10 box

  - by Yang

  Xorg is eating up 444MB of 2GB total RAM on my Ubuntu 9.10 x86_64 machine with nvidia drivers installed for the nvidia G86 (GeForce 8300 GS). top shows: top - 18:21:41 up 6 days, 2:40, 9 users, load average: 0.46, 1.12, 1.22 Tasks: 266 total, 3 running, 262 sleeping, 1 stopped, 0 zombie Cpu(s): 8.4%us, 2.0%sy, 0.0%ni, 89.1%id, 0.5%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 2055736k total, 1965136k used, 90600k free, 3952k buffers Swap: 979924k total, 979908k used, 16k free, 102636k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1432 root 20 0 1154m 442m 7492 S 8 22.0 32:56.97 Xorg 18462 yang 20 0 1001m 219m 8356 S 0 10.9 5:13.25 chrome 24099 yang 20 0 865m 83m 13m S 0 4.2 0:06.91 chrome xrestop shows: xrestop - Display: :0.0 Monitoring 47 clients. XErrors: 0 Pixmaps: 40430K total, Other: 142K total, All: 40573K total res-base Wins GCs Fnts Pxms Misc Pxm mem Other Total PID Identifier 1c00000 21 46 1 19 697 9128K 18K 9146K 3169 x-nautilus-desktop 1000000 4 3 0 17 194 9000K 4K 9004K 3134 gnome-settings-daemon 1600000 51 2 1 25 1100 7648K 28K 7676K ? compiz For comparison, here's my other Ubuntu box, which also has compiz etc. enabled but with ATI RV370 (Radeon X300SE): top - 18:18:18 up 58 days, 4:27, 9 users, load average: 0.00, 0.00, 0.00 Tasks: 224 total, 1 running, 223 sleeping, 0 stopped, 0 zombie Cpu(s): 0.3%us, 0.3%sy, 0.0%ni, 98.8%id, 0.5%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1024964k total, 987124k used, 37840k free, 247012k buffers Swap: 2048276k total, 94296k used, 1953980k free, 264744k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 24324 yang 20 0 61936 35m 6364 S 0 3.5 4:35.84 nxagent 1768 ntop 20 0 190m 32m 5388 S 1 3.2 283:36.15 ntop 1178 root 20 0 60588 29m 1788 S 0 3.0 5:48.89 console-kit-dae ... 1315 root 20 0 343m 4956 4020 S 0 0.5 3:43.87 Xorg Any ideas on how to get to the bottom of this? (i.e. not "Log out"/"Reboot") Thanks in advance.

  Read the article

• Different versions of iperf for windows give totally different results

  - by Albert Mata

  Measuring TCP output from a Windows client to Solaris server: WXP SP3 with iperf 1.7.0 -- returns an average around 90Mbit Same client, same server but iperf 2.0.5 for windows -- returns an average of 8.5 Mbit Similar discrepancies have been observed connecting to other servers (W2008, W2003) It's difficult to get to some conclusions when different versions of the same tool provide vastly different results. Example below: C:\tempiperf -v (from iperf.fr) iperf version 2.0.5 (08 Jul 2010) pthreads C:\tempiperf -c solaris10 Client connecting to solaris10, TCP port 5001 TCP window size: 64.0 KByte (default) [ 3] local 10.172.181.159 port 2124 connected with 10.172.180.209 port 5001 [ ID] Interval Transfer Bandwidth [ 3] 0.0-10.2 sec 10.6 MBytes 8.74 Mbits/sec Abysmal perfomance, but now I test from the same host (Windows XP SP3 32bit and 100Mbit) to the same server (Solaris 10/sparc 64bit and 1Gbit running iperf 2.0.5 with default window of 48k) with the old iperf C:\temp1iperf -v iperf version 1.7.0 (13 Mar 2003) win32 threads C:\temp1iperf.exe -c solaris10 -w64k Client connecting to solaris10, TCP port 5001 TCP window size: 64.0 KByte [1208] local 10.172.181.159 port 2128 connected with 10.172.180.209 port 5001 [ ID] Interval Transfer Bandwidth [1208] 0.0-10.0 sec 112 MBytes 94.0 Mbits/sec So one iperf with a 64k window says 8.75Mbit and the old iperf with the same window size says 94.0Mbit. These results are constant through repeated tests. From my testing launching iperf(old) with window size "x" and iperf(new) with window size "x" instead of producing the same or very close results produce totally different results. The only difference I see is the old compiled as win32 threads vs. pthreads but parallelism (-P 10) appears to work in both. Anyone has a clue or can recommend a tool that gives results I can trust?? EDIT: Looking at traces from (old) iperf it sets the TCP Window Scale flag to 3 in the SYN packet, when I run the (new) iperf this is set to 0 in the initial packet. A quick analysis of the window size through the exchange shows the (old) iperf moving back and forth but mostly at 32k while the (new) iperf mostly keeps at 64k. Maybe it will help somebody to connect the dots.

  Read the article

• Nginx + uWSGI + Django performance stuck on 100rq/s

  - by dancio

  I have configured Nginx with uWSGI and Django on CentOS 6 x64 (3.06GHz i3 540, 4GB), which should easily handle 2500 rq/s but when I run ab test ( ab -n 1000 -c 100 ) performance stops at 92 - 100 rq/s. Nginx: user nginx; worker_processes 2; events { worker_connections 2048; use epoll; } uWSGI: Emperor /usr/sbin/uwsgi --master --no-orphans --pythonpath /var/python --emperor /var/python/*/uwsgi.ini [uwsgi] socket = 127.0.0.2:3031 master = true processes = 5 env = DJANGO_SETTINGS_MODULE=x.settings env = HTTPS=on module = django.core.handlers.wsgi:WSGIHandler() disable-logging = true catch-exceptions = false post-buffering = 8192 harakiri = 30 harakiri-verbose = true vacuum = true listen = 500 optimize = 2 sysclt changes: # Increase TCP max buffer size setable using setsockopt() net.ipv4.tcp_rmem = 4096 87380 8388608 net.ipv4.tcp_wmem = 4096 87380 8388608 net.core.rmem_max = 8388608 net.core.wmem_max = 8388608 net.core.netdev_max_backlog = 5000 net.ipv4.tcp_max_syn_backlog = 5000 net.ipv4.tcp_window_scaling = 1 net.core.somaxconn = 2048 # Avoid a smurf attack net.ipv4.icmp_echo_ignore_broadcasts = 1 # Optimization for port usefor LBs # Increase system file descriptor limit fs.file-max = 65535 I did sysctl -p to enable changes. Idle server info: top - 13:34:58 up 102 days, 18:35, 1 user, load average: 0.00, 0.00, 0.00 Tasks: 118 total, 1 running, 117 sleeping, 0 stopped, 0 zombie Cpu(s): 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 3983068k total, 2125088k used, 1857980k free, 262528k buffers Swap: 2104504k total, 0k used, 2104504k free, 606996k cached free -m total used free shared buffers cached Mem: 3889 2075 1814 0 256 592 -/+ buffers/cache: 1226 2663 Swap: 2055 0 2055 **During the test:** top - 13:45:21 up 102 days, 18:46, 1 user, load average: 3.73, 1.51, 0.58 Tasks: 122 total, 8 running, 114 sleeping, 0 stopped, 0 zombie Cpu(s): 93.5%us, 5.2%sy, 0.0%ni, 0.2%id, 0.0%wa, 0.1%hi, 1.1%si, 0.0%st Mem: 3983068k total, 2127564k used, 1855504k free, 262580k buffers Swap: 2104504k total, 0k used, 2104504k free, 608760k cached free -m total used free shared buffers cached Mem: 3889 2125 1763 0 256 595 -/+ buffers/cache: 1274 2615 Swap: 2055 0 2055 iotop 30141 be/4 nginx 0.00 B/s 7.78 K/s 0.00 % 0.00 % nginx: wo~er process Where is the bottleneck ? Or what am I doing wrong ?

  Read the article

• Basic multicast network performance problems

  - by davedavedave

  I've been using mpong from 29west's mtools package to get some basic idea of multicast latency across various Cisco switches: 1Gb 2960G, 10Gb 4900M and 10Gb Nexus N5548P. The 1Gb is just for comparison. I have the following results for ~400 runs of mpong on each switch (sending 65536 "ping"-like messages to a receiver which then sends back -- all over multicast). Numbers are latencies measured in microseconds. Switch Average StdDev Min Max 2960 (1Gb) 109.68463 0.092816 109.4328 109.9464 4900M (10Gb) 705.52359 1.607976 703.7693 722.1514 NX 5548(10Gb) 58.563774 0.328242 57.77603 59.32207 The result for 4900M is very surprising. I've tried unicast ping and I see the 4900 has ~10us higher latency than the N5548P (average 73us vs 64us). Iperf (with no attempt to tune it) shows both 10Gb switches give me 9.4Gbps line speed. The two machines are connected to the same switch and we're not doing any multicast routing. OS is RHEL 6. 10Gb NICs are HP 10GbE PCI-E G2 Dual-port NICs (I believe they are rebranded Mellanox cards). The 4900 switch is used in a project with tight access control so I'm waiting for approval before I can access it and check the config. The other two I have full access to configure. I've looked at the Cisco document[2] detailing differences between NX-OS and IOS w.r.t multicast so I've got some ideas to try out but this isn't an area where I have much expertise. Does anyone have any idea what I should be looking at once I get access to the switch? [1] http://docwiki.cisco.com/wiki/Cisco_NX-OS/IOS_Multicast_Comparison

  Read the article

< Previous Page | 168 169 170 171 172 173 174 175 176 177 178 179  | Next Page >