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  • PS/2 vs USB keyboards: performance and energy consumption

    - by Mister Smith
    As far as I know, PS/2 keyboards are interrupt driven, while USB are polled. Typically a PS/2 keyboard was assigned IRQ_1 on Windows. I'm no hardware expert, but at a first glance seems like the PS/2 keyboards are more efficient. So here are my questions: On modern day computers, are PS/2 keyboard better (or faster), and if so, would it be noticeable at all? (e.g.: in gaming) Since they don't need polling, do PS/2 keyboards save energy compared to USB? (notice I'm not talking only about the peripheral here, but about the overall computer energy consumption). In case PS/2 had any advantage over USB, would adding a PS/2 adapter to my USB keyboard make the device as good as an actual PS/2 keyboard? Conversely, would adding a USB adapter to a PS/2 make it as bad as a USB KB? Thanks in advance.

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  • How to reduce celeryd memory consumption?

    - by Gringo Suave
    I'm using celery 2.5.1 with django on a micro ec2 instance with 613mb memory and as such have to keep memory consumption down. Currently I'm using it only for the scheduler "celery beat" as a web interface to cron, though I hope to use it for more in the future. I've noticed it is the biggest consumer of memory on my micro machine even though I have configured the number of workers to one. I don't have many other options set in settings.py: import djcelery djcelery.setup_loader() BROKER_BACKEND = 'djkombu.transport.DatabaseTransport' CELERYBEAT_SCHEDULER = 'djcelery.schedulers.DatabaseScheduler' CELERY_RESULT_BACKEND = 'database' BROKER_POOL_LIMIT = 2 CELERYD_CONCURRENCY = 1 CELERY_DISABLE_RATE_LIMITS = True CELERYD_MAX_TASKS_PER_CHILD = 20 CELERYD_SOFT_TASK_TIME_LIMIT = 5 * 60 CELERYD_TASK_TIME_LIMIT = 6 * 60 Here's the details via top: PID USER NI CPU% VIRT SHR RES MEM% Command 1065 wuser 10 0.0 283M 4548 85m 14.3 python manage_prod.py celeryd --beat 1025 wuser 10 1.0 577M 6368 67m 11.2 python manage_prod.py celeryd --beat 1071 wuser 10 0.0 578M 2384 62m 10.6 python manage_prod.py celeryd --beat That's about 214mb of memory (and not much shared) to run a cron job occasionally. Have I done anything wrong, or can this be reduced about ten-fold somehow? ;) Update: here's my upstart config: description "Celery Daemon" start on (net-device-up and local-filesystems) stop on runlevel [016] nice 10 respawn respawn limit 5 10 chdir /home/wuser/wuser/ env CELERYD_OPTS=--concurrency=1 exec sudo -u wuser -H /usr/bin/python manage_prod.py celeryd --beat --concurrency=1 --loglevel info --logfile /var/tmp/celeryd.log Update 2: I notice there is one root process, one user child process, and two grandchildren from that. So I think it isn't a matter of duplicate startup. root 34580 1556 sudo -u wuser -H /usr/bin/python manage_prod.py celeryd wuser 577M 67548 +- python manage_prod.py celeryd --beat --concurrency=1 wuser 578M 63784 +- python manage_prod.py celeryd --beat --concurrency=1 wuser 271M 76260 +- python manage_prod.py celeryd --beat --concurrency=1

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  • Understanding the memory consumption on iPhone

    - by zoul
    Hello! I am working on a 2D iPhone game using OpenGL ES and I keep hitting the 24 MB memory limit – my application keeps crashing with the error code 101. I tried real hard to find where the memory goes, but the numbers in Instruments are still much bigger than what I would expect. I ran the application with the Memory Monitor, Object Alloc, Leaks and OpenGL ES instruments. When the application gets loaded, free physical memory drops from 37 MB to 23 MB, the Object Alloc settles around 7 MB, Leaks show two or three leaks a few bytes in size, the Gart Object Size is about 5 MB and Memory Monitor says the application takes up about 14 MB of real memory. I am perplexed as where did the memory go – when I dig into the Object Allocations, most of the memory is in the textures, exactly as I would expect. But both my own texture allocation counter and the Gart Object Size agree that the textures should take up somewhere around 5 MB. I am not aware of allocating anything else that would be worth mentioning, and the Object Alloc agrees. Where does the memory go? (I would be glad to supply more details if this is not enough.) Update: I really tried to find where I could allocate so much memory, but with no results. What drives me wild is the difference between the Object Allocations (~7 MB) and real memory usage as shown by Memory Monitor (~14 MB). Even if there were huge leaks or huge chunks of memory I forget about, the should still show up in the Object Allocations, shouldn’t they? I’ve already tried the usual suspects, ie. the UIImage with its caching, but that did not help. Is there a way to track memory usage “debugger-style”, line by line, watching each statement’s impact on memory usage? What I have found so far: I really am using that much memory. It is not easy to measure the real memory consumption, but after a lot of counting I think the memory consumption is really that high. My fault. I found no easy way to measure the memory used. The Memory Monitor numbers are accurate (these are the numbers that really matter), but the Memory Monitor can’t tell you where exactly the memory goes. The Object Alloc tool is almost useless for tracking the real memory usage. When I create a texture, the allocated memory counter goes up for a while (reading the texture into the memory), then drops (passing the texture data to OpenGL, freeing). This is OK, but does not always happen – sometimes the memory usage stays high even after the texture has been passed on to OpenGL and freed from “my” memory. This means that the total amount of memory allocated as shown by the Object Alloc tool is smaller than the real total memory consumption, but bigger than the real consumption minus textures (real – textures < object alloc < real). Go figure. I misread the Programming Guide. The memory limit of 24 MB applies to textures and surfaces, not the whole application. The actual red line lies a bit further, but I could not find any hard numbers. The consensus is that 25–30 MB is the ceiling. When the system gets short on memory, it starts sending the memory warning. I have almost nothing to free, but other applications do release some memory back to the system, especially Safari (which seems to be caching the websites). When the free memory as shown in the Memory Monitor goes zero, the system starts killing. I had to bite the bullet and rewrite some parts of the code to be more efficient on memory, but I am probably still pushing it. I

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  • PHP-FPM Pool, Child Processes and Memory Consumption

    - by Jhilke Dai
    In my PHP-FPM configuration I have 3 Pools, the eg: Config is: ;;;;;;;;;;;;;;;;;;;;;;; ; Pool 1 ; ;;;;;;;;;;;;;;;;;;;;;;; [www1] user = www group = www listen = /tmp/php-fpm1.sock; listen.backlog = -1 listen.owner = www listen.group = www listen.mode = 0666 pm = dynamic pm.max_children = 40 pm.start_servers = 6 pm.min_spare_servers = 6 pm.max_spare_servers = 12 pm.max_requests = 250 slowlog = /var/log/php/$pool.log.slow request_slowlog_timeout = 5s request_terminate_timeout = 120s rlimit_files = 131072 ;;;;;;;;;;;;;;;;;;;;;;; ; Pool 2 ; ;;;;;;;;;;;;;;;;;;;;;;; [www2] user = www group = www listen = /tmp/php-fpm2.sock; listen.backlog = -1 listen.owner = www listen.group = www listen.mode = 0666 pm = dynamic pm.max_children = 40 pm.start_servers = 6 pm.min_spare_servers = 6 pm.max_spare_servers = 12 pm.max_requests = 250 slowlog = /var/log/php/$pool.log.slow request_slowlog_timeout = 5s request_terminate_timeout = 120s rlimit_files = 131072 ;;;;;;;;;;;;;;;;;;;;;;; ; Pool 3 ; ;;;;;;;;;;;;;;;;;;;;;;; [www3] user = www group = www listen = /tmp/php-fpm3.sock; listen.backlog = -1 listen.owner = www listen.group = www listen.mode = 0666 pm = dynamic pm.max_children = 40 pm.start_servers = 6 pm.min_spare_servers = 6 pm.max_spare_servers = 12 pm.max_requests = 250 slowlog = /var/log/php/$pool.log.slow request_slowlog_timeout = 5s request_terminate_timeout = 120s rlimit_files = 131072 I calculated the pm.max_children processes according to some example calculations on the web like 40 x 40 Mb = 1600 Mb. I have separated 4 GB of RAM for PHP, now according to the calculations 40 Child Processes via one socket, and I have total of 3 sockets in my Nginx and FPM configuration. My doubt is about the amount of memory consumption by those child processes. I tried to create high load in the server via httperf hog and siege but I could not calculate the accurate memory usage by all the PHP processes (other processes like MySQL and Nginx were also running). And all the sockets were in use, So, I seek guidance from anyone who have done this before or know how exactly the pm.max_children in PHP Works. Since I have 3 Pools/sockets with 40 child processes does that count to 3 x 40 x 40 Mb of Memory usage ? or it is just like 40 Max. Child processes sharing 3 sockets (and the total memory usage is just 40 x 40 Mb) ?

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  • How to reduce RAM consumption when my server is idle

    - by Julien Genestoux
    We use Slicehost, with 512MB instances. We run Ubuntu 9.10 on them. I installed a few packages, and I'm now trying to optimize RAM consumption before running anything on there. A simple ps gives me the list of running processes : # ps faux USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND root 2 0.0 0.0 0 0 ? S< Jan04 0:00 [kthreadd] root 3 0.0 0.0 0 0 ? S< Jan04 0:15 \_ [migration/0] root 4 0.0 0.0 0 0 ? S< Jan04 0:01 \_ [ksoftirqd/0] root 5 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [watchdog/0] root 6 0.0 0.0 0 0 ? S< Jan04 0:04 \_ [events/0] root 7 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [cpuset] root 8 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [khelper] root 9 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [async/mgr] root 10 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xenwatch] root 11 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xenbus] root 13 0.0 0.0 0 0 ? S< Jan04 0:02 \_ [migration/1] root 14 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [ksoftirqd/1] root 15 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [watchdog/1] root 16 0.0 0.0 0 0 ? S< Jan04 0:07 \_ [events/1] root 17 0.0 0.0 0 0 ? S< Jan04 0:02 \_ [migration/2] root 18 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [ksoftirqd/2] root 19 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [watchdog/2] root 20 0.0 0.0 0 0 ? R< Jan04 0:07 \_ [events/2] root 21 0.0 0.0 0 0 ? S< Jan04 0:04 \_ [migration/3] root 22 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [ksoftirqd/3] root 23 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [watchdog/3] root 24 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [events/3] root 25 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kintegrityd/0] root 26 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kintegrityd/1] root 27 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kintegrityd/2] root 28 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kintegrityd/3] root 29 0.0 0.0 0 0 ? S< Jan04 0:01 \_ [kblockd/0] root 30 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kblockd/1] root 31 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kblockd/2] root 32 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kblockd/3] root 33 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kseriod] root 34 0.0 0.0 0 0 ? S Jan04 0:00 \_ [khungtaskd] root 35 0.0 0.0 0 0 ? S Jan04 0:05 \_ [pdflush] root 36 0.0 0.0 0 0 ? S Jan04 0:06 \_ [pdflush] root 37 0.0 0.0 0 0 ? S< Jan04 1:02 \_ [kswapd0] root 38 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [aio/0] root 39 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [aio/1] root 40 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [aio/2] root 41 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [aio/3] root 42 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [jfsIO] root 43 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [jfsCommit] root 44 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [jfsCommit] root 45 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [jfsCommit] root 46 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [jfsCommit] root 47 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [jfsSync] root 48 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfs_mru_cache] root 49 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfslogd/0] root 50 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfslogd/1] root 51 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfslogd/2] root 52 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfslogd/3] root 53 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsdatad/0] root 54 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsdatad/1] root 55 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsdatad/2] root 56 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsdatad/3] root 57 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsconvertd/0] root 58 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsconvertd/1] root 59 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsconvertd/2] root 60 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [xfsconvertd/3] root 61 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [glock_workqueue] root 62 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [glock_workqueue] root 63 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [glock_workqueue] root 64 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [glock_workqueue] root 65 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [delete_workqueu] root 66 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [delete_workqueu] root 67 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [delete_workqueu] root 68 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [delete_workqueu] root 69 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kslowd] root 70 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kslowd] root 71 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [crypto/0] root 72 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [crypto/1] root 73 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [crypto/2] root 74 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [crypto/3] root 77 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [net_accel/0] root 78 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [net_accel/1] root 79 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [net_accel/2] root 80 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [net_accel/3] root 81 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [sfc_netfront/0] root 82 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [sfc_netfront/1] root 83 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [sfc_netfront/2] root 84 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [sfc_netfront/3] root 310 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [kstriped] root 315 0.0 0.0 0 0 ? S< Jan04 0:00 \_ [ksnapd] root 1452 0.0 0.0 0 0 ? S< Jan04 4:31 \_ [kjournald] root 1 0.0 0.1 19292 948 ? Ss Jan04 0:15 /sbin/init root 1545 0.0 0.1 13164 1064 ? S Jan04 0:00 upstart-udev-bridge --daemon root 1547 0.0 0.1 17196 996 ? S<s Jan04 0:00 udevd --daemon root 1728 0.0 0.2 20284 1468 ? S< Jan04 0:00 \_ udevd --daemon root 1729 0.0 0.1 17192 792 ? S< Jan04 0:00 \_ udevd --daemon root 1881 0.0 0.0 8192 152 ? Ss Jan04 0:00 dd bs=1 if=/proc/kmsg of=/var/run/rsyslog/kmsg syslog 1884 0.0 0.2 185252 1200 ? Sl Jan04 1:00 rsyslogd -c4 103 1894 0.0 0.1 23328 700 ? Ss Jan04 1:08 dbus-daemon --system --fork root 2046 0.0 0.0 136 32 ? Ss Jan04 4:05 runsvdir -P /etc/service log: gems/custom_require.rb:31:in `require'??from /mnt/app/superfeedr-firehoser/current/script/component:52?/opt/ruby-enterprise/lib/ruby/si root 2055 0.0 0.0 112 32 ? Ss Jan04 0:00 \_ runsv chef-client root 2060 0.0 0.0 132 40 ? S Jan04 0:02 | \_ svlogd -tt ./main root 2056 0.0 0.0 112 28 ? Ss Jan04 0:20 \_ runsv superfeedr-firehoser_2 root 2059 0.0 0.0 132 40 ? S Jan04 0:29 | \_ svlogd /var/log/superfeedr-firehoser_2 root 2057 0.0 0.0 112 28 ? Ss Jan04 0:20 \_ runsv superfeedr-firehoser_1 root 2062 0.0 0.0 132 44 ? S Jan04 0:26 \_ svlogd /var/log/superfeedr-firehoser_1 root 2058 0.0 0.0 18708 316 ? Ss Jan04 0:01 cron root 2095 0.0 0.1 49072 764 ? Ss Jan04 0:06 /usr/sbin/sshd root 9832 0.0 0.5 78916 3500 ? Ss 00:37 0:00 \_ sshd: root@pts/0 root 9846 0.0 0.3 17900 2036 pts/0 Ss 00:37 0:00 \_ -bash root 10132 0.0 0.1 15020 1064 pts/0 R+ 09:51 0:00 \_ ps faux root 2180 0.0 0.0 5988 140 tty1 Ss+ Jan04 0:00 /sbin/getty -8 38400 tty1 root 27610 0.0 1.4 47060 8436 ? S Apr04 2:21 python /usr/sbin/denyhosts --daemon --purge --config=/etc/denyhosts.conf --config=/etc/denyhosts.conf root 22640 0.0 0.7 119244 4164 ? Ssl Apr05 0:05 /usr/sbin/console-kit-daemon root 10113 0.0 0.0 3904 316 ? Ss 09:46 0:00 /usr/sbin/collectdmon -P /var/run/collectdmon.pid -- -C /etc/collectd/collectd.conf root 10114 0.0 0.2 201084 1464 ? Sl 09:46 0:00 \_ collectd -C /etc/collectd/collectd.conf -f As you can see there is nothing serious here. If I sum up the RSS line on all this, I get the following : # ps -aeo rss | awk '{sum+=$1} END {print sum}' 30096 Which makes sense. However, I have a pretty big surprise when I do a free: # free total used free shared buffers cached Mem: 591180 343684 247496 0 25432 161256 -/+ buffers/cache: 156996 434184 Swap: 1048568 0 1048568 As you can see 60% of the available memory is already consumed... which leaves me with only 40% to run my own applications if I want to avoid swapping. Quite disapointing! 2 questions arise : Where is all this memory? How to take some of it back for my own apps?

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  • Memory consumption of each accept() call on server running on Windows 2008 [migrated]

    - by Atul
    I've written a simple and small server application on Windows 2008 that just accepts connections and does nothing else. I am doing memory footprint assessment of socket calls, What I found that each connection (after accept()) consumes at least 2.5 KB of memory. Interestingly, the memory is not consumed by the process that has accept() call but it consumed by a OS process. I believe it might be because of data structures being created inside OS for each connection. Now, I have two key questions: Is it possible by any means to reduce this memory footprint (by changing any parameters, configuration etc) ? If yes how ? (Because 2K for each connection would be too much if we planning server to accept millions of connections) If my server is intended to accept million connections, is it good idea to use Windows 2008 ? or shall I switch to some other OS? Please advice me.

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  • Nginx + PHP-FPM Timeouts, almost zero load consumption?

    - by javipas
    I've got a server running on a Linode with Ubuntu 10.04 LTS, Nginx 0.7.65, MySQL 5.1.41 and PHP 5.3.2 with PHP-FPM. There is a WordPress blog on it, updated to WordPress 3.2.1 recently. I have made no changes to the server (except updating WordPress) and while it was running fine, a couple of days ago I started having downtimes. I tried to solve the problem, and checking the error_log I saw many timeouts and messages that seemed to be related to timeouts. The server is currently logging this kind of errors: 2011/07/14 10:37:35 [warn] 2539#0: *104 an upstream response is buffered to a temporary file /var/lib/nginx/fastcgi/2/00/0000000002 while reading upstream, client: 217.12.16.51, server: www.mydomain.com, request: "GET /page/2/ HTTP/1.0", upstream: "fastcgi://127.0.0.1:9000", host: "www.mydomain.com", referrer: "http://www.mydomain.com/" 2011/07/14 10:40:24 [error] 2539#0: *231 upstream timed out (110: Connection timed out) while reading response header from upstream, client: 46.24.245.181, server: www.mydomain.com, request: "GET / HTTP/1.1", upstream: "fastcgi://127.0.0.1:9000", host: "www.mydomain.com", referrer: "http://www.google.es/search?sourceid=chrome&ie=UTF-8&q=mydomain" and even saw this previous serverfault discussion with a possible solution: to edit /etc/php/etc/php-fpm.conf and change request_terminate_timeout=30s instead of ;request_terminate_timeout= 0 The server worked for some hours, and then broke again. I edited the file again to leave it as it was, and restarted again php-fpm (service php-fpm restart) but no luck: the server worked for a few minutes and back to the problem over and over. The strange thing is, although the services are running, htop shows there is no CPU load (see image) and I really don't know how to solve the problem. The config files are on pastebin The php-fpm.conf file is here The /etc/nginx/nginx.conf is here The /etc/nginx/sites-available/www.mydomain.com is here Please help :(

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  • Two Firefox windows vs two browsers? Ram Consumption

    - by Kayle
    I don't know enough about Ram & sharing to know what the difference is here. Normally, I run Chrome in one desktop for personal use, and Firefox on a second desktop for business. I like the separation of saved passwords and whatnot. However, I recently learned that I can open two different profiles in Firefox at the same time, so I was wondering if that would be cheaper to my system resources, or not? Out the door, I don't think it would save more than 40-60mb of ram... but I'm wondering, 3 hours later, if ram handling will be better using just one browser for all my heavy lifting. I only have 2gb of ram and I run iTunes and Photoshop as well, almost all day. So I like to save ram where I can. Any thoughts? UPDATE: I've been centering around chrome more recently and using firefox for testing. Dev isn't bad on Chrome and it's great at releasing memory when I close tabs. In retrospect, I think the best answer to this question is simply for me to buy another 2gb of ram.

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  • linux migration/N high cpu consumption

    - by Alexander
    on my linux appliance based on 3.0.0-14 kernel I got: RPN:/tmp# ps axuf | grep migration root 6 92.9 0.0 0 0 ? S Apr23 2788:33 \_ [migration/0] root 7 99.7 0.0 0 0 ? S Apr23 2993:20 \_ [migration/1] my top is RPN:/tmp# top -b -n1 top - 12:03:41 up 2 days, 2:18, 5 users, load average: 25.76, 25.26, 24.73 Tasks: 171 total, 1 running, 168 sleeping, 0 stopped, 2 zombie Cpu(s): 14.0%us, 12.6%sy, 0.8%ni, 72.0%id, 0.3%wa, 0.0%hi, 0.3%si, 0.0%st Mem: 1543032k total, 1264728k used, 278304k free, 25308k buffers Swap: 0k total, 0k used, 0k free, 183168k cached My question: why processes "migration/N" take so much CPU?

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  • Simple electric DC question. Currency consumption

    - by Bobb
    Suppose you have DC power supply and a consumer connected to it (i.e. computer PSU and a hard drive). Suppose PSU which was supplied with the consumer has output 5V 1A. So I assume that the consumer should not consume more than 1A. Suppose the original PSU is broken now and I want to replace it with the one I have which is 5V 10A. My guess is that current is something which depends on the consumer. So if the consumer consumes normally 1A then it will not consume more than that even if it is connected to 10A PSU. In other word - am I right assuming that the consumer will not burn out being connected to a power supply with higher current output? P.S. my understanding is that voltage is something independent from the consumer. If you give it higher voltage it will burn (voltage is from PSU to the consumer). However current must be in opposite - consumer sucks as much current as it need not as much as PSU can provide (of course given that max PSU current is greater than the consumer needs)

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  • SQL Server Full Text Search resource consumption

    - by Sam Saffron
    When SQL Server builds a fulltext index computer resources are consumed (IO/Memory/CPU) Similarly when you perform full text searches, resources are consumed. How can I get a gauge over a 24 hour period of the exact amount of CPU and IO(reads/writes) that fulltext is responsible for, in relation to global SQL Server resource usage. Are there any perfmon counters, DMVs or profiler traces I can use to help answer this question?

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  • Simple electric DC question. Current consumption

    - by Bobb
    Suppose you have DC power supply and a consumer connected to it (i.e. computer PSU and a hard drive). Suppose PSU which was supplied with the consumer has output 5V 1A. So I assume that the consumer should not consume more than 1A. Suppose the original PSU is broken now and I want to replace it with the one I have which is 5V 10A. My guess is that current is something which depends on the consumer. So if the consumer consumes normally 1A then it will not consume more than that even if it is connected to 10A PSU. In other word - am I right assuming that the consumer will not burn out being connected to a power supply with higher current output? P.S. my understanding is that voltage is something independent from the consumer. If you give it higher voltage it will burn (voltage is from PSU to the consumer). However current must be in opposite - consumer sucks as much current as it need not as much as PSU can provide (of course given that max PSU current is greater than the consumer needs)

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  • Setting Environment Variable for nginx and Rails consumption

    - by kolrie
    Apache's module mod_env offers a handy way of setting environment variables in configuration files, like: <VirtualHost *:80> ServerName xyz.com DocumentRoot /var/www/rails_app/public PassengerAppRoot /var/www/rails_app SetEnv MY_VARIABLE contents </VirtualHost> http://httpd.apache.org/docs/2.0/mod/mod_env.html#setenv However, in nginx I couldn't find anything that serves the same purpose. What's the alternative here? I thought of setting environment variables in .profile files (I am using Ubuntu 10.04), but that wouldn't have the same "per vHost" isolation I have with Apache, right? What are the alternatives here?

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  • Limit a process's relative (not absolute) processor consumption in Linux

    - by BobBanana
    What is the standard way in Linux to enforce a system policy to limit the relative CPU use of a single process? That is, on a quad-core machine, I never want a process to use more than 2 CPUs at once, even if the process creates more threads. I do not want an absolute time limit, just a relative limit so that one task cannot dominate the machine. This is also different than renice, which allows a process to use all the resources but just politely step aside if others need them too. ulimit is the usual resource limiting tool, but it does not allow such CPU restrictions.. it can limit the number of processes per user, or absolute CPU time, not restrict the maximum number of active threads of a single process. I've found a couple of user-level tools, like CPUlimit, but not a system level tool or setting. Does such a standard resource controller exist in Linux (Red Hat Enterprise, if it matters.) If there is such a limit imposed, how would a user identify it?

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  • QTreeView memory consumption

    - by Eye of Hell
    Hello. I'm testing QTreeView functionality right now, and i was amazed by one thing. It seems that QTreeView memory consumption depends on items count O_O. This is highly unusual, since model-view containers of such type only keeps track for items being displayed, and rest of items are in the model. I have written a following code with a simple model that holds no data and just reports that it has 10 millions items. With MFC, Windows API or .NET tree / list with such model will take no memory, since it will display only 10-20 visible elements and will request model for more upon scrolling / expanding items. But with Qt, such simple model results in ~300Mb memory consumtion. Increasing number of items will increase memory consumption. Maybe anyone can hint me what i'm doing wrong? :) #include <QtGui/QApplication> #include <QTreeView> #include <QAbstractItemModel> class CModel : public QAbstractItemModel { public: QModelIndex index ( int i_nRow, int i_nCol, const QModelIndex& i_oParent = QModelIndex() ) const { return createIndex( i_nRow, i_nCol, 0 ); } public: QModelIndex parent ( const QModelIndex& i_oInex ) const { return QModelIndex(); } public: int rowCount ( const QModelIndex& i_oParent = QModelIndex() ) const { return i_oParent.isValid() ? 0 : 1000 * 1000 * 10; } public: int columnCount ( const QModelIndex& i_oParent = QModelIndex() ) const { return 1; } public: QVariant data ( const QModelIndex& i_oIndex, int i_nRole = Qt::DisplayRole ) const { return Qt::DisplayRole == i_nRole ? QVariant( "1" ) : QVariant(); } }; int main(int argc, char *argv[]) { QApplication a(argc, argv); QTreeView oWnd; CModel oModel; oWnd.setUniformRowHeights( true ); oWnd.setModel( & oModel ); oWnd.show(); return a.exec(); }

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  • Servlet File Upload Memory Consumption

    - by Scott
    Hi, I'm using a servlet to do a multi fileupload (using apache commons fileupload to help). A portion of my code is posted below. My problem is that if I upload several files at once, the memory consumption of the app server jumps rather drastically. This is probably OK if it were only until the file upload is finished, but the app server seems to hang on to the memory and never return it to the OS. I'm worried that when I put this into production I'll end up getting an out of memory exception on the server. Any ideas on why this is happening? I'm thinking the server may have started a session and will give the memory back after it expires, but I'm not 100% positive. if(ServletFileUpload.isMultipartContent(request)) { ServletFileUpload upload = new ServletFileUpload(); FileItemIterator iter = upload.getItemIterator(request); while(iter.hasNext()) { FileItemStream license = iter.next(); if(license.getFieldName().equals("upload_button") || license.getName().equals("")) continue; //DataInputStream stream = new DataInputStream(license.openStream()); InputStream stream = license.openStream(); ArrayList<Integer> byteArray = new ArrayList<Integer>(); int tempByte; do { tempByte = stream.read(); byteArray.add(tempByte); }while(tempByte != -1); stream.close(); byteArray.remove(byteArray.size()-1); byte[] bytes = new byte[byteArray.size()]; int i = 0; for(Integer tByte : byteArray) { bytes[i++] = tByte.byteValue(); } Thanks in advanced!!

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  • Why does unpartitioned Hitachi HDS5C3020 drive start consuming 50% more power 15 minutes after boot?

    - by Pro Backup
    In a Debian 6.0.6 system there are 74 pieces of 2TB Toshiba DT01ABA200 drives. These drives are identified as Hitachi HDS5C3020BLE630 drives running firmware revision MZ4OAAB0. 64 Drives attached via HP SAS expander cards to an LSI 2008 SAS controller, another 5 drives are connected directly to the mainboard, 4 drives are connected to a Sil based PCI controller and last 1 drive is only powered and has no data cable connected. The controller LSI and Sil card's their onboard BIOS are both disabled and the mpt2sas and sata_sil modules are removed from the Linux debian 2.6.32-5-amd64 #1 SMP Sun Sep 23 10:07:46 UTC 2012 x86_64 GNU/Linux kernel. The mpt2sas module is loaded after boot using a modprobe command in /etc/rc.local. These 74 drives are not partitioned, neither formatted and also not mounted. The system consumes: with 0 drives: 70.6 - 70.9 Watt (also 15 minutes after boot); with 74 drives: 330 - 360 Watt, just after boot (is equivalent to 3.5 - 3.9W per drive in idle state); with 74 drives: 420 - 466 Watt, each time in the 15th minute of uptime (is equivalent to 4.7 - 5.3W per drive in idle state). The drive specification lists 4.7W as read/write, and 3.3W as idle power consumption. The increased power consumption is most likely on the 5V line, because after roughly 1 minute an "over current protection" (OCP) of the power supply (PSU) shuts down the power. The used PSU is a single rail model with an OCP of 122A on the 12V line and 55A on the 5V line. Regression: It doesn't matter whether the drive its APM value is set to disabled or 1 (maximum power saving). The operating system records no read/write activity in /proc/diskstats. The values there are identical (28 read, 0 write operations) as immediately after the modprobe operation. Can't test what happens when booting into the mainboard it's BIOS - to exclude any OS intervention - because the Super Micro X8SI6-F mainboard running firmware 06/27/12 has a bug that incorrectly reads a +74.0 C CPU sensor temperature as "High" in BIOS mode, and shuts down the power after 1 minute. What might be causing the drive read/write activity on all drives in the 15th minute after boot and how to prevent it from happening?

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  • How can I compare effective power usage of two CPUs / CPU+Mobo+Mem combinations?

    - by einpoklum
    I have this server which does mostly file sharing (with the associated storage). No serious number crunching and it isn't the firewall. My current box has a Celeron D processor (Prescott 336 2.8 GHz); and I'm considering replacing it with a Pentium D (Smithfield 805 2.66 GHz) - for reasons which do not involve performance. How can I know whether one can expect a higher or lower power consumptipn for the change? And how can I estimate the power consumption for each option?

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  • Emgu CV - memory-leaks (memory consumption)

    - by martin pilch
    I am using EmguCV, the OpenCV wrapper for .NET. I am disposing all created objects but my app is still using more and more memory (in release configuration too). I have debugged my app using .NET Memory profiler and get this result: http://img532.imageshack.us/img532/2503/screenqv.png all objects instance count is oscilating but GChandle instance counr is increasing until my machine is unusable. Garbage collector does not release memory (i think). I am using VS 2008 professional, Win7 prof 32-bit, both up to date, and last stable version of emguCV. I can post some app code, if it will help. Thanks and sorry for my English. Martin

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  • SharePoint custom web service consumption problems - HTTP 401: Unauthorized

    - by alekz
    I have a custom web service deployed into WSS 3. It has two web methods. The first one returns the version of the loaded assembly without any invocation of the SharePoint objects. The second returns some basic info about the library, something like: var spLibrary = [find library logic]; return spLibrary.Name+"@"+spLibrary.Url; In the client app I have something like the following: var service = new WebService1(); service.Url = [url]; service.Credentials = System.Net.CredentialCache.DefaultCredentials; service.Method1(); service.Method2(); When the client app runs on the machine where SharePoint is deployed, everything works just fine. When the client app runs on the remote machine (but under the same user) the first method still works, but the second one throws System.Net.WebException: HTTP 401: Unauthorized. I have tried to set credentials manualy (service.Credentials = new System.Net.NetworkCredential(login, password, domain);) but this doesnt help. I've tried to invoke the built in SharePoint web services using a similar scenario, and they work just fine: Sorry for the mistake... Some methods were not working fine without the appropriate privileges. var service = new GroupsService(); service.Url = [url]; service.Credentials = System.Net.CredentialCache.DefaultCredentials; service.SomeMethod();

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  • TVirtualStringTree - resetting non-visual nodes and memory consumption

    - by Remy Lebeau - TeamB
    I have an app that loads records from a binary log file and displays them in a virtual TListView. There are potentially millions of records in a file, and the display can be filtered by the user, so I do not load all of the records in memory at one time, and the ListView item indexes are not a 1-to-1 relation with the file record offsets (List item 1 may be file record 100, for instance). I use the ListView's OnDataHint event to load records for just the items the ListView is actually interested in. As the user scrolls around, the range specified by OnDataHint changes, allowing me to free records that are not in the new range, and allocate new records as needed. This works fine, speed is tolerable, and the memory footprint is very low. I am currently evaluating TVirtualStringTree as a replacement for the TListView, mainly because I want to add the ability to expand/collapse records that span multiple lines (I can fudge it with the TListView by incrementing/decrementing the item count dynamically, but this is not as straight forward as using a real tree). For the most part, I have been able to port the TListView logic and have everything work as I need. I notice that TVirtualStringTree's virtual paradigm is vastly different, though. It does not have the same kind of OnDataHint functionality that TListView does (I can use the OnScroll event to fake it, which allows my memory buffer logic to continue working), and I can use the OnInitializeNode event to associate nodes with records that are allocated. However, once a tree node is initialized, it sees that it remains initialized for the lifetime of the tree. That is not good for me. As the user scrolls around and I remove records from memory, I need to reset those non-visual nodes without removing them from the tree completely, or losing their expand/collapse states. When the user scrolls them back into view, I can re-allocate the records and re-initialize the nodes. Basically, I want to make TVirtualStringTree act as much like TListView as possible, as far as its virtualization is concerned. I have seen that TVirtualStringTree has a ResetNode() method, but I encounter various errors whenever I try to use it. I must be using it wrong. I also thought of just storing a data pointer inside each node to my record buffers, and I allocate and free memory, update those pointers accordingly. The end effect does not work so well, either. Worse, my largest test log file has ~5 million records in it. If I initialize the TVirtualStringTree with that many nodes at one time (when the log display is unfiltered), the tree's internal overhead for its nodes takes up a whopping 260MB of memory (without any records being allocated yet). Whereas with the TListView, loading the same log file and all the memory logic behind it, I can get away with using just a few MBs. Any ideas?

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  • expat parser: memory consumption

    - by sameer karjatkar
    Hi, I am using expat parser to parse an XML file of around 15 GB . The problem is it throws an "Out of Memory" error and the program aborts . I want to know has any body faced a similar issue with the expat parser or is it a known bug and has been rectified in later versions ?

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  • Escape Quote in C# for javascript consumption

    - by Jason
    I have a ASP.Net web handler that returns results of a query in JSON format public static String dt2JSON(DataTable dt) { String s = "{\"rows\":["; if (dt.Rows.Count > 0) { foreach (DataRow dr in dt.Rows) { s += "{"; for (int i = 0; i < dr.Table.Columns.Count; i++) { s += "\"" + dr.Table.Columns[i].ToString() + "\":\"" + dr[i].ToString() + "\","; } s = s.Remove(s.Length - 1, 1); s += "},"; } s = s.Remove(s.Length - 1, 1); } s += "]}"; return s; } The problem is that sometimes the data returned has quotes in it and I would need to javascript-escape these so that it can be properly created into a js object. I need a way to find quotes in my data (quotes aren't there every time) and place a "/" character in front of them. Example response text (wrong): {"rows":[{"id":"ABC123","length":"5""}, {"id":"DEF456","length":"1.35""}, {"id":"HIJ789","length":"36.25""}]} I would need to escape the " so my response should be: {"rows":[{"id":"ABC123","length":"5\""}, {"id":"DEF456","length":"1.35\""}, {"id":"HIJ789","length":"36.25\""}]} Also, I'm pretty new to C# (coding in general really) so if something else in my code looks silly let me know.

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