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  • Macbook memory upgrade question

    - by James Evans
    I've read some conflicting articles on Macbooks and memory upgrades. Some say you have to buy the "special" Mac memory (bulls$%t), others say manufacturers like Partriot and Ocz will work fine. My Macbook (non-pro) is about 6 mos old with it's 2 GB of memory (SO-DIMM 1066MHz DDR3). Does anyone have any definitive information of what will work? Thanks!

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  • How to get the installed Memory Type

    - by balexandre
    Windows 7 could be better at this, it tells everything about the computer CPU but only the Memory amount Microsoft should add information about DDR type, speed and maybe CL as well. While this never happens, What's the best and easy way to check the installed memory so we can buy and upgrade it? I was thinking a simple software so I don't need to install the full SiSoft Sandra for example, just looking for something small, only for the memory part.

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  • virtual memory commited

    - by vinu
    After a server bounce happens, and after around 40-45 days time period, we receive continuous “Committed Virtual Memory” alerts which indicates the usage of swap space in the magnitude of 4GB This also causes the application to perform very slowly and experience a number of stalled transactions. Server Setup: 4 Tomcat Servers (version 7.0.22) that are load balanced (not clustered) by 2 Apache Servers. And the Apache servers themselves supply static content and routing to these 4 tomcat servers. Java Runtime Version: java version "1.6.0_30" Java(TM) SE Runtime Environment (build 1.6.0_30-b12) Java HotSpot(TM) 64-Bit Server VM (build 20.5-b03, mixed mode Memory Startup Parameters: MEMORY_OPTIONS="-Xms1024m -Xmx1024m -Xss192k -XX:MaxGCPauseMillis=500 -XX:+HeapDumpOnOutOfMemoryError -XX:MaxPermSize=256m -XX:+CMSClassUnloadingEnabled" Monitoring – Wily monitoring is available in all the production servers that monitors key server parameters and sends out configurable alert emails based on pre defined settings. Note: Each of the servers also has two other separate tomcat domains that run different applications Investigated area: There is no Heap Memory Leak and the GC is running fine without any issues over any period of time The current busy thread count corresponds directly to the application usage – weekends and nights have lesser no. of threads compared to business hours ThreadLocal uses a WeakReference internally. If the ThreadLocal is not strongly referenced, it will be garbage-collected, even though various threads have values stored via that ThreadLocal. Additionally, ThreadLocal values are actually stored in the Thread; if a thread dies, all of the values associated with that thread through a ThreadLocal are collected. If you have a ThreadLocal as a final class member, that's a strong reference, and it cannot be collected until the class is unloaded. But this is how any class member works, and isn't considered a memory leak. The cited problem only comes into play when the value stored in a ThreadLocal strongly references that ThreadLocal—sort of a circular reference. In this case, the value (a SimpleDateFormat), has no backwards reference to the ThreadLocal. There's no memory leak in this code. Can anyone please let me know what could be the cause of this and what to be monitored?

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  • Google Chrome is running my system out of memory

    - by jasondavis
    I am running Windows 7 x64 with 12GB of RAM I often have multiple windows and a ton of tabs open. I use the extension Session Buddy to restore all my windows and tabs once the memory gets too high. So my 12gb of ram will get up to around 93% used because of Chrome, now I can close chrome down and restore the same amount of windows and tabs and it will only use about 25% of memory, it then over time increases back up to the 90% zone after several hours. It seems that when I close tabs, instead of freeing that memory up, it doesn't so that is why the huge increase of memory usage as new tabs are opened and closed it just adds up, this sounds like a huge bug in chrome. Just for an example I just re-booted my system, I only have 1 window with 4 tabs open and in the task manager, it shows 29 chrome.exe processes I then killed all chrome processes and opened a chrome window with just 1 tab, it made 27 chrome.exe processes. Is this an issue that others have? More importantly, is there a fix? UPDATE I just read that each plugin and extension creates a chrome.exe process, I then couunted 24 extensions so that helps explain a portion of the large processes. Still not sure about memory not being freed up though!

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  • Why is my browser using so much memory?

    - by Steve
    Hi. I've recently had problems with Firefox running very slowly when I have many tabs open; say 20 tabs. My whole system would slow down. I decided to give Google Chrome a try, and it started out fine. But lately I am finding that it too, slows down my whole system. Looking at Task Manager, chrome.exe is using about 250MB of memory in about 6 different entries in task manager. However, when I shut Chrome down, memory usage is reduced by about 600MB. How can this be? (shows drop in memory usage after ending Chrome.) When my system locks up with Chrome having many tabs open, it takes 10 seconds to load the Start Menu, 10 seconds to expand All Programs, and each folder and subfolder, and 30 seconds for the program to be highlighted under my mouse. It also takes 10 seconds to switch to Notepad. Why is Chrome appearing to use so much more memory than Task Manager indicates? Why is my pagefile being used when I have around 1.1GB of memory? Can I set Chrome to run in RAM and not in the pagefile? How can 20 tabs use 600MB? That's 30MB per tab. Thanks for your help.

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  • How to change memory for DomU runtime

    - by saffron
    I have a xen server with xen-4.1.3, linux-image-3.2.0-3-amd64, debian squeeze and 16Gb of RAM. The domain-0 has 1Gb of ram, the rest of memory belongs to the hypervisor. I want to start a guest domain with a minimal amount of memory and increase it runtime later. When I start a guest domain with 256Mb of ram and run xm mem-set domu 4Gb, I get ~3Gb only in domu and a guest domain free says: root@test:~# free total used free shared buffers cached Mem: 2830620 72868 2757752 0 2432 43504 -/+ buffers/cache: 26932 2803688 Swap: 1048572 0 1048572 And a guest domain dmesg says: [ 0.000000] Memory: 175912k/2883584k available (3527k kernel code, 448k absent, 2707224k reserved, 3210k data, 612k init) When I start a guest domain with 2Gb of ram I can run xm mem-set domu 7Gb and get ~7Gb of ram in a guest domain: root@test:~# free total used free shared buffers cached Mem: 6828228 74944 6753284 0 1328 12568 -/+ buffers/cache: 61048 6767180 Swap: 1048572 0 1048572 And a guest domain dmesg: [ 0.000000] Memory: 1674960k/16651264k available (3527k kernel code, 448k absent, 14975856k reserved, 3210k data, 612k init) How can I start a guest domain with a minimal amount of ram (256Mb) and increase it under 15Gb?

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  • How to restore/change Alt+Tab behaviour/ram usage and a few other things after Ubuntu upgrade from 11.04 to 11.10?

    - by fiktor
    I use Ubuntu for programming. I recently updated it from 11.04 to 11.10. There are some things I don't like in the new version of Unity desktop interface. I don't actually know if it is hard to restore previous behavior or not, and if it is not, where should I look to do that. I know a bit of programming, but I really don't know much about Linux settings. I used to have 3-6 terminal windows and switch between them with Alt+Tab and Shift+Alt+Tab. I liked half-transparent terminal windows, since with them I could open web-page with some instruction in Firefox, press Alt+Tab and type commands in a console window, being able to recognize text on a web-page under it. Now I have problems with my usual work-style because of the following. List of "negative" changes Alt+Tab shows just one icon for all console windows. When I wait some time, it, however, shows all windows, but I don't like to wait. I prefer to remember order of windows and press Alt+Tab as many times as I need to switch to the right window. Alt+Shift+Tab to switch in reverse order doesn't work now. Console windows are not transparent any more. When I don't wait, and switch to this icon, it shows all console windows altogether. So even if they were transparent, I wouldn't be able to see anything below them (I can read something only from the window, which is directly under current one, not a few levels under). When I run a few console windows in Unity I had 740Mb used on Ubuntu 11.04, but I have 1050Mb now. The question is how to make it back to 750-. I really need my memory, since I use my computer to work with 1512Mb of data and I try to save every 10Mb possible (if it doesn't take too much of machine and, more importantly, my time). When I press "The Super key" I have a field to type the name of the program I want to run. But now it sometimes shows this field, but when I'm trying to type nothing happens. Probably, focus is not on the right field. I don't really mean to restore exactly the same behavior, but I want to make my work in Ubuntu 11.10 efficient (at least as efficient as in Ubuntu 11.04). I would be happy if there are some ways to accomplish that. What have I tried I have installed CompizConfig Settings Manager. I have read this question. However enabling "Static Application Switcher" makes Alt+Tab crazy: after enabling it It says about key-binding conflicts with "Ubuntu Unity Plugin"; "Alt+Tab" switching doesn't change, but "Shift+Alt+Tab" now works and shows all windows; Memory usage increases. I have tried turning off Ubuntu Unity Plugin, but this doesn't seem right thing to do, since it seems to turn off all menus, a lot of keystrokes and app-launcher, which usually activates with "The Super key". I have found, that window transparency can be enabled by "Opacity, Brightness and Saturation" plugin from Accessibility. However I don't know if enabling it is the right thing to do (at least it increases memory usage). Update: everything solved but #3: see my own answer below. I have made a separate question about issue #3 (transparency).

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  • overview/history of resident memory usage

    - by kapet
    I have a fairly complicated program (Python with SWIG'ed C++ code, long running server) that shows a constantly growing resident memory usage. I've been digging with the usual tools for the leak (valgrind, Pythons gc module, etc.) but to no avail so far. I'm a bit afraid that the actual problem is memory fragmentation within Python and/or libc managed memory. Anyway, my question is more specific right now: Is there a tool to visualize resident memory usage and ideally show how it develops over time? I think the raw data is in /proc/$PID/smaps but I was hoping there's some tool that shows me a nice graph of the amounts used by mmap'ed files vs. anonymous mmap'ed memory vs. heap over time so that it's easier to see (literally) what's changing. I couldn't find anything though. Does anybody know of a ready to use tool that graphs memory usage over space and time in an intuitive way?

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  • ANTS Memory Profiler 7.0

    - by James Michael Hare
    I had always been a fan of ANTS products (Reflector is absolutely invaluable, and their performance profiler is great as well – very easy to use!), so I was curious to see what the ANTS Memory Profiler could show me. Background While a performance profiler will track how much time is typically spent in each unit of code, a memory profiler gives you much more detail on how and where your memory is being consumed and released in a program. As an example, I’d been working on a data access layer at work to call a market data web service.  This web service would take a list of symbols to quote and would return back the quote data.  To help consolidate the thousands of web requests per second we get and reduce load on the web services, we implemented a 5-second cache of quote data.  Not quite long enough to where customers will typically notice a quote go “stale”, but just long enough to be able to collapse multiple quote requests for the same symbol in a short period of time. A 5-second cache may not sound like much, but it actually pays off by saving us roughly 42% of our web service calls, while still providing relatively up-to-date information.  The question is whether or not the extra memory involved in maintaining the cache was worth it, so I decided to fire up the ANTS Memory Profiler and take a look at memory usage. First Impressions The main thing I’ve always loved about the ANTS tools is their ease of use.  Pretty much everything is right there in front of you in a way that makes it easy for you to find what you need with little digging required.  I’ve worked with other, older profilers before (that shall remain nameless other than to hint it was created by a very large chip maker) where it was a mind boggling experience to figure out how to do simple tasks. Not so with AMP.  The opening dialog is very straightforward.  You can choose from here whether to debug an executable, a web application (either in IIS or from VS’s web development server), windows services, etc. So I chose a .NET Executable and navigated to the build location of my test harness.  Then began profiling. At this point while the application is running, you can see a chart of the memory as it ebbs and wanes with allocations and collections.  At any given point in time, you can take snapshots (to compare states) zoom in, or choose to stop at any time.  Snapshots Taking a snapshot also gives you a breakdown of the managed memory heaps for each generation so you get an idea how many objects are staying around for extended periods of time (as an object lives and survives collections, it gets promoted into higher generations where collection becomes less frequent). Generating a snapshot brings up an analysis view with very handy graphs that show your generation sizes.  Almost all my memory is in Generation 1 in the managed memory component of the first graph, which is good news to me, because Gen 2 collections are much rarer.  I once3 made the mistake once of caching data for 30 minutes and found it didn’t get collected very quick after I released my reference because it had been promoted to Gen 2 – doh! Analysis It looks like (from the second pie chart) that the majority of the allocations were in the string class.  This also is expected for me because the majority of the memory allocated is in the web service responses, so it doesn’t seem the entities I’m adapting to (to prevent being too tightly coupled to the web service proxy classes, which can change easily out from under me) aren’t taking a significant portion of memory. I also appreciate that they have clear summary text in key places such as “No issues with large object heap fragmentation were detected”.  For novice users, this type of summary information can be critical to getting them to use a tool and develop a good working knowledge of it. There is also a handy link at the bottom for “What to look for on the summary” which loads a web page of help on key points to look for. Clicking over to the session overview, it’s easy to compare the samples at each snapshot to see how your memory is growing, shrinking, or staying relatively the same.  Looking at my snapshots, I’m pretty happy with the fact that memory allocation and heap size seems to be fairly stable and in control: Once again, you can check on the large object heap, generation one heap, and generation two heap across each snapshot to spot trends. Back on the analysis tab, we can go to the [Class List] button to get an idea what classes are making up the majority of our memory usage.  As was little surprise to me, System.String was the clear majority of my allocations, though I found it surprising that the System.Reflection.RuntimeMehtodInfo came in second.  I was curious about this, so I selected it and went into the [Instance Categorizer].  This view let me see where these instances to RuntimeMehtodInfo were coming from. So I scrolled back through the graph, and discovered that these were being held by the System.ServiceModel.ChannelFactoryRefCache and I was satisfied this was just an artifact of my WCF proxy. I also like that down at the bottom of the Instance Categorizer it gives you a series of filters and offers to guide you on which filter to use based on the problem you are trying to find.  For example, if I suspected a memory leak, I might try to filter for survivors in growing classes.  This means that for instances of a class that are growing in memory (more are being created than cleaned up), which ones are survivors (not collected) from garbage collection.  This might allow me to drill down and find places where I’m holding onto references by mistake and not freeing them! Finally, if you want to really see all your instances and who is holding onto them (preventing collection), you can go to the “Instance Retention Graph” which creates a graph showing what references are being held in memory and who is holding onto them. Visual Studio Integration Of course, VS has its own profiler built in – and for a free bundled profiler it is quite capable – but AMP gives a much cleaner and easier-to-use experience, and when you install it you also get the option of letting it integrate directly into VS. So once you go back into VS after installation, you’ll notice an ANTS menu which lets you launch the ANTS profiler directly from Visual Studio.   Clicking on one of these options fires up the project in the profiler immediately, allowing you to get right in.  It doesn’t integrate with the Visual Studio windows themselves (like the VS profiler does), but still the plethora of information it provides and the clear and concise manner in which it presents it makes it well worth it. Summary If you like the ANTS series of tools, you shouldn’t be disappointed with the ANTS Memory Profiler.  It was so easy to use that I was able to jump in with very little product knowledge and get the information I was looking it for. I’ve used other profilers before that came with 3-inch thick tomes that you had to read in order to get anywhere with the tool, and this one is not like that at all.  It’s built for your everyday developer to get in and find their problems quickly, and I like that! Tweet Technorati Tags: Influencers,ANTS,Memory,Profiler

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  • httpd high cpu usage slowing down server response

    - by max
    my client has a image sharing website with about 100.000 visitor per day it has been slowed down considerably since this morning when i checked processes i've notice high cpu usage from http .... some has suggested ddos attack ... i'm not a webmaster and i've no idea whts going on top top - 20:13:30 up 5:04, 4 users, load average: 4.56, 4.69, 4.59 Tasks: 284 total, 3 running, 281 sleeping, 0 stopped, 0 zombie Cpu(s): 12.1%us, 0.9%sy, 1.7%ni, 69.0%id, 16.4%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 16037152k total, 15875096k used, 162056k free, 360468k buffers Swap: 4194288k total, 888k used, 4193400k free, 14050008k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 4151 apache 20 0 277m 84m 3784 R 50.2 0.5 0:01.98 httpd 4115 apache 20 0 210m 16m 4480 S 18.3 0.1 0:00.60 httpd 12885 root 39 19 4296 692 308 S 13.0 0.0 11:09.53 gzip 4177 apache 20 0 214m 20m 3700 R 12.3 0.1 0:00.37 httpd 2219 mysql 20 0 4257m 198m 5668 S 11.0 1.3 42:49.70 mysqld 3691 apache 20 0 206m 14m 6416 S 1.7 0.1 0:03.38 httpd 3934 apache 20 0 211m 17m 4836 S 1.0 0.1 0:03.61 httpd 4098 apache 20 0 209m 17m 3912 S 1.0 0.1 0:04.17 httpd 4116 apache 20 0 211m 17m 4476 S 1.0 0.1 0:00.43 httpd 3867 apache 20 0 217m 23m 4672 S 0.7 0.1 1:03.87 httpd 4146 apache 20 0 209m 15m 3628 S 0.7 0.1 0:00.02 httpd 4149 apache 20 0 209m 15m 3616 S 0.7 0.1 0:00.02 httpd 12884 root 39 19 22336 2356 944 D 0.7 0.0 0:19.21 tar 4054 apache 20 0 206m 12m 4576 S 0.3 0.1 0:00.32 httpd another top top - 15:46:45 up 5:08, 4 users, load average: 5.02, 4.81, 4.64 Tasks: 288 total, 6 running, 281 sleeping, 0 stopped, 1 zombie Cpu(s): 18.4%us, 0.9%sy, 2.3%ni, 56.5%id, 21.8%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 16037152k total, 15792196k used, 244956k free, 360924k buffers Swap: 4194288k total, 888k used, 4193400k free, 13983368k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 4622 apache 20 0 209m 16m 3868 S 54.2 0.1 0:03.99 httpd 4514 apache 20 0 213m 20m 3924 R 50.8 0.1 0:04.93 httpd 4627 apache 20 0 221m 27m 4560 R 18.9 0.2 0:01.20 httpd 12885 root 39 19 4296 692 308 S 18.9 0.0 11:51.79 gzip 2219 mysql 20 0 4257m 199m 5668 S 18.3 1.3 43:19.04 mysqld 4512 apache 20 0 227m 33m 4736 R 5.6 0.2 0:01.93 httpd 4520 apache 20 0 213m 19m 4640 S 1.3 0.1 0:01.48 httpd 4590 apache 20 0 212m 19m 3932 S 1.3 0.1 0:00.06 httpd 4573 apache 20 0 210m 16m 3556 R 1.0 0.1 0:00.03 httpd 4562 root 20 0 15164 1388 952 R 0.7 0.0 0:00.08 top 98 root 20 0 0 0 0 S 0.3 0.0 0:04.89 kswapd0 100 root 39 19 0 0 0 S 0.3 0.0 0:02.85 khugepaged 4579 apache 20 0 209m 16m 3900 S 0.3 0.1 0:00.83 httpd 4637 apache 20 0 209m 15m 3668 S 0.3 0.1 0:00.03 httpd ps aux [root@server ~]# ps aux | grep httpd root 2236 0.0 0.0 207524 10124 ? Ss 15:09 0:03 /usr/sbin/http d -k start -DSSL apache 3087 2.7 0.1 226968 28232 ? S 20:04 0:06 /usr/sbin/http d -k start -DSSL apache 3170 2.6 0.1 221296 22292 ? R 20:05 0:05 /usr/sbin/http d -k start -DSSL apache 3171 9.0 0.1 225044 26768 ? R 20:05 0:17 /usr/sbin/http d -k start -DSSL apache 3188 1.5 0.1 223644 24724 ? S 20:05 0:03 /usr/sbin/http d -k start -DSSL apache 3197 2.3 0.1 215908 17520 ? S 20:05 0:04 /usr/sbin/http d -k start -DSSL apache 3198 1.1 0.0 211700 13000 ? S 20:05 0:02 /usr/sbin/http d -k start -DSSL apache 3272 2.4 0.1 219960 21540 ? S 20:06 0:03 /usr/sbin/http d -k start -DSSL apache 3273 2.0 0.0 211600 12804 ? S 20:06 0:03 /usr/sbin/http d -k start -DSSL apache 3279 3.7 0.1 229024 29900 ? S 20:06 0:05 /usr/sbin/http d -k start -DSSL apache 3280 1.2 0.0 0 0 ? Z 20:06 0:01 [httpd] <defun ct> apache 3285 2.9 0.1 218532 21604 ? S 20:06 0:04 /usr/sbin/http d -k start -DSSL apache 3287 30.5 0.4 265084 65948 ? R 20:06 0:43 /usr/sbin/http d -k start -DSSL apache 3297 1.9 0.1 216068 17332 ? S 20:06 0:02 /usr/sbin/http d -k start -DSSL apache 3342 2.7 0.1 216716 17828 ? S 20:06 0:03 /usr/sbin/http d -k start -DSSL apache 3356 1.6 0.1 217244 18296 ? S 20:07 0:01 /usr/sbin/http d -k start -DSSL apache 3365 6.4 0.1 226044 27428 ? S 20:07 0:06 /usr/sbin/http d -k start -DSSL apache 3396 0.0 0.1 213844 16120 ? S 20:07 0:00 /usr/sbin/http d -k start -DSSL apache 3399 5.8 0.1 215664 16772 ? S 20:07 0:05 /usr/sbin/http d -k start -DSSL apache 3422 0.7 0.1 214860 17380 ? S 20:07 0:00 /usr/sbin/http d -k start -DSSL apache 3435 3.3 0.1 216220 17460 ? S 20:07 0:02 /usr/sbin/http d -k start -DSSL apache 3463 0.1 0.0 212732 15076 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3492 0.0 0.0 207660 7552 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3493 1.4 0.1 218092 19188 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3500 1.9 0.1 224204 26100 ? R 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3501 1.7 0.1 216916 17916 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3502 0.0 0.0 207796 7732 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3505 0.0 0.0 207660 7548 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3529 0.0 0.0 207660 7524 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3531 4.0 0.1 216180 17280 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3532 0.0 0.0 207656 7464 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3543 1.4 0.1 217088 18648 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3544 0.0 0.0 207656 7548 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3545 0.0 0.0 207656 7560 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3546 0.0 0.0 207660 7540 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3547 0.0 0.0 207660 7544 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3548 2.3 0.1 216904 17888 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3550 0.0 0.0 207660 7540 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3551 0.0 0.0 207660 7536 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3552 0.2 0.0 214104 15972 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3553 6.5 0.1 216740 17712 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3554 6.3 0.1 216156 17260 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3555 0.0 0.0 207796 7716 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3556 1.8 0.0 211588 12580 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3557 0.0 0.0 207660 7544 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3565 0.0 0.0 207660 7520 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3570 0.0 0.0 207660 7516 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3571 0.0 0.0 207660 7504 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL root 3577 0.0 0.0 103316 860 pts/2 S+ 20:08 0:00 grep httpd httpd error log [Mon Jul 01 18:53:38 2013] [error] [client 2.178.12.67] request failed: error reading the headers, referer: http://akstube.com/image/show/27023/%D9%86%DB%8C%D9%88%D8%B4%D8%A7-%D8%B6%DB%8C%D8%BA%D9%85%DB%8C-%D9%88-%D8%AE%D9%88%D8%A7%D9%87%D8%B1-%D9%88-%D9%87%D9%85%D8%B3%D8%B1%D8%B4 [Mon Jul 01 18:55:33 2013] [error] [client 91.229.215.240] request failed: error reading the headers, referer: http://akstube.com/image/show/44924 [Mon Jul 01 18:57:02 2013] [error] [client 2.178.12.67] Invalid method in request [Mon Jul 01 18:57:02 2013] [error] [client 2.178.12.67] File does not exist: /var/www/html/501.shtml [Mon Jul 01 19:21:36 2013] [error] [client 127.0.0.1] client denied by server configuration: /var/www/html/server-status [Mon Jul 01 19:21:36 2013] [error] [client 127.0.0.1] File does not exist: /var/www/html/403.shtml [Mon Jul 01 19:23:57 2013] [error] [client 151.242.14.31] request failed: error reading the headers [Mon Jul 01 19:37:16 2013] [error] [client 2.190.16.65] request failed: error reading the headers [Mon Jul 01 19:56:00 2013] [error] [client 151.242.14.31] request failed: error reading the headers Not a JPEG file: starts with 0x89 0x50 also there is lots of these in the messages log Jul 1 20:15:47 server named[2426]: client 203.88.6.9#11926: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 20:15:47 server named[2426]: client 203.88.6.9#26255: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 20:15:48 server named[2426]: client 203.88.6.9#20093: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 20:15:48 server named[2426]: client 203.88.6.9#8672: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:07 server named[2426]: client 203.88.6.9#39352: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:08 server named[2426]: client 203.88.6.9#25382: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:08 server named[2426]: client 203.88.6.9#9064: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:09 server named[2426]: client 203.88.23.9#35375: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:09 server named[2426]: client 203.88.6.9#61932: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:09 server named[2426]: client 203.88.23.9#4423: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:09 server named[2426]: client 203.88.6.9#40229: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#46128: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#62128: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#35240: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#36774: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#28361: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#14970: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#20216: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.10#31794: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#23042: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#11333: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.10#41807: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#20092: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#43526: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.9#17173: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.9#62412: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.10#63961: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.10#64345: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.10#31030: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:16 server named[2426]: client 203.88.6.9#17098: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:16 server named[2426]: client 203.88.6.9#17197: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:16 server named[2426]: client 203.88.6.9#18114: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:16 server named[2426]: client 203.88.6.9#59138: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:17 server named[2426]: client 203.88.6.9#28715: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:48:33 server named[2426]: client 203.88.23.9#26355: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:34 server named[2426]: client 203.88.23.9#34473: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:34 server named[2426]: client 203.88.23.9#62658: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:34 server named[2426]: client 203.88.23.9#51631: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:35 server named[2426]: client 203.88.23.9#54701: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:36 server named[2426]: client 203.88.6.10#63694: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:36 server named[2426]: client 203.88.6.10#18203: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:37 server named[2426]: client 203.88.6.10#9029: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:38 server named[2426]: client 203.88.6.10#58981: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:38 server named[2426]: client 203.88.6.10#29321: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:47 server named[2426]: client 119.160.127.42#42355: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:49 server named[2426]: client 119.160.120.42#46285: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:53 server named[2426]: client 119.160.120.42#30696: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:54 server named[2426]: client 119.160.127.42#14038: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:55 server named[2426]: client 119.160.120.42#33586: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:56 server named[2426]: client 119.160.127.42#55114: query (cache) 'xxxmaza.com/A/IN' denied

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  • Reduce "Metafile" memory usage?

    - by Jay Conrod
    My work computer (Windows 7 64-bit) spends a lot of time swapping memory when I switch between programs. This surprises me since I have 4 GB of RAM, and the programs I use aren't particularly RAM hungry (Outlook, Emacs, p4win, Firefox, various build tools). I downloaded RAMMap, and it shows over a gigabyte of memory used by "Metafile". From the Sysinternals blog: Metafile is part of the system cache and consists of NTFS metadata. NTFS metadata includes the MFT as well as the other various NTFS metadata files. ... In the MFT each file attribute record takes 1k and each file has at least one attribute record. Add to this the other NTFS metadata files and you can see why the Metafile category can grow quite large on servers with lots of files. So I understand what the "Metafile" data is... I work on large builds comprising hundreds of thousands of files (none are that big, but they add up to several gigabytes). My question is how can I reduce the amount of memory used by "Metafile"? I'm not actively using all those files at once, so why does Windows need to keep info in RAM? Restarting my machine every time I sync a new build is really annoying.

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  • Crash on iOS when system purges memory and closes a UIViewController

    - by Amiramix
    My application is crashing when one of the views is purged from memory because of low-memory condition. At least this is what I understand from the crashlog. It happens on numerous screens but only when opening a Facebook dialog (using the Facebook SDK). Basically, looks like the system sometimes runs out of memory when we need to present a Facebook dialog (e.g. to let user post something on the Facebook timeline). Date/Time: 2012-03-14 19:47:33.819 +0000 OS Version: iPhone OS 5.1 (9B176) Report Version: 104 Exception Type: EXC_BAD_ACCESS (SIGSEGV) Exception Codes: KERN_INVALID_ADDRESS at 0x30000008 Crashed Thread: 0 Thread 0 name: Dispatch queue: com.apple.main-thread Thread 0 Crashed: 0 libobjc.A.dylib 0x30f2bf78 objc_msgSend + 16 1 MyApp 0x00003c0e -LTBaseViewController viewDidUnload (LTBaseViewController.m:145) 2 MyApp 0x00004ea2 -LTBaseTableViewController viewDidUnload (LTBaseTableViewController.m:90) 3 UIKit 0x33766bd8 -[UIViewController unloadViewForced:] + 244 4 UIKit 0x338ae492 -[UIViewController purgeMemoryForReason:] + 58 5 Foundation 0x3071a4f8 __57-NSNotificationCenter addObserver:selector:name:object:_block_invoke_0 + 12 6 CoreFoundation 0x30e95540 ___CFXNotificationPost_block_invoke_0 + 64 7 CoreFoundation 0x30e21090 _CFXNotificationPost + 1400 8 Foundation 0x3068e3e4 -NSNotificationCenter postNotificationName:object:userInfo: + 60 9 Foundation 0x3068fc14 -NSNotificationCenter postNotificationName:object: + 24 10 UIKit 0x3387926a -UIApplication _performMemoryWarning + 74 11 UIKit 0x33879364 -UIApplication _receivedMemoryNotification + 168 12 libdispatch.dylib 0x36a12252 _dispatch_source_invoke + 510 13 libdispatch.dylib 0x36a0fb1e _dispatch_queue_invoke$VARIANT$up + 42 14 libdispatch.dylib 0x36a0fe64 _dispatch_main_queue_callback_4CF$VARIANT$up + 152 15 CoreFoundation 0x30e9c2a6 __CFRunLoopRun + 1262 16 CoreFoundation 0x30e1f49e CFRunLoopRunSpecific + 294 17 CoreFoundation 0x30e1f366 CFRunLoopRunInMode + 98 18 GraphicsServices 0x33fb6432 GSEventRunModal + 130 19 UIKit 0x336f5e76 UIApplicationMain + 1074 20 MyApp 0x00004818 main (main.m:16) 21 MyApp 0x000023b4 0x1000 + 5044 I checked and there are almost no memory leaks, e.g. when testing the app for an hour the total memory leaked was around 2-3Kb caused by some string-copying libraries. So I don't believe this is caused by the application. I guess that when the phone is not restarted for some time there are applications running in the background and when using Facebook SDK the memory becomes a problem and the system tries to recover the memory from random applications, including my application. My question is, how can I prevent this crash from happening? How should I handle unloadViewForced on a view controller to make the app more robust in low-memory conditions? And lastly, am I right that this crashlog suggests the crash occurred because the system tried to free memory and my application didn't handle it properly? Any help greatly appreciated.

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  • C++ std::vector memory/allocation

    - by aaa
    from a previous question about vector capacity, http://stackoverflow.com/questions/2663170/stdvector-capacity-after-copying, Mr. Bailey said: In current C++ you are guaranteed that no reallocation occurs after a call to reserve until an insertion would take the size beyond the value of the previous call to reserve. Before a call to reserve, or after a call to reserve when the size is between the value of the previous call to reserve and the capacity the implementation is allowed to reallocate early if it so chooses. So, if I understand correctly, in order to assure that no relocation happens until capacity is exceeded, I must do reserve twice? can you please clarify it? I am using vector as a memory stack like this: std::vector<double> memory; memory.reserve(size); memory.insert(memory.end(), matrix.data().begin(), matrix.data().end()); // smaller than size size_t offset = memory.size(); memory.resize(memory.capacity(), 0); I need to guarantee that relocation does not happen in the above. thank you. ps: I would also like to know if there is a better way to manage memory stack in similar manner other than vector

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  • Cherokee high virtual memory usage even after disabling I/O Cache

    - by nidheeshdas
    I've Ubuntu 10.04LTS 64-bit running on a openvz container and Cherokee 1.0.8 compiled from source. The virtual memory usage of cherokee-worker is around 430 MB even after disabling I/O cache from Advanced - I/O Cache - NOT enabled. Is this issue particular to openvz? Because many people reported to have successfully reduced virt memory usage by disabling io cache. htop output: http://imgur.com/z5JEL.jpg (newbies not allowed to post image.) thanks in advance. nidheeshdas

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  • Windows 7 unreasonable ram usage

    - by Deus Deceit
    I have a fresh install of windows 7, and my ram in normal startup goes up to 2.5 GB. I looked at task manager, and there's at least 1.5 GB missing from there and in resource monitor as well. No indication of what's using that ram. Can someone tell me how I can find out what's consuming my memory? I believe it's a virus but none of the free antivirus programs tracked it down. EDIT I added the pictures bellow. If this is normal usage of windows 7 as some answers imply... then I don't get this at all. P.S My windows 8 Installation was running bellow 2.5 gb actually it was 1. something, until recently that I transferred some files from another computer which had the same problem that mine has now. I deleted windows 8 and installed 7, since i would do that anyway. And now I'm getting high memory usage in windows 7 as well.

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  • Cherokee high virtual memory usage even after disabling I/O Cache

    - by nidheeshdas
    hi all I've Ubuntu 10.04LTS 64-bit running on a openvz container and Cherokee 1.0.8 compiled from source. The virtual memory usage of cherokee-worker is around 430 MB even after disabling I/O cache from Advanced - I/O Cache - NOT enabled. Is this issue particular to openvz? Because many people reported to have successfully reduced virt memory usage by disabling io cache. htop output: http://imgur.com/z5JEL.jpg (newbies not allowed to post image.) thanks in advance. nidheeshdas

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  • Minimum percentage of free physical memory that Linux require for optimal performance

    - by csoto
    Recently, we have been getting questions about this percentage of free physical memory that OS require for optimal performance, mainly applicable to physical compute nodes. Under normal conditions you may see that at the nodes without any application running the OS take (for example) between 24 and 25 GB of memory. The Linux system reports the free memory in a different way, and most of those 25gbs (of the example) are available for user processes. IE: Mem: 99191652k total, 23785732k used, 75405920k free, 173320k buffers The MOS Doc Id. 233753.1 - "Analyzing Data Provided by '/proc/meminfo'" - explains it (section 4 - "Final Remarks"): Free Memory and Used Memory Estimating the resource usage, especially the memory consumption of processes is by far more complicated than it looks like at a first glance. The philosophy is an unused resource is a wasted resource.The kernel therefore will use as much RAM as it can to cache information from your local and remote filesystems/disks. This builds up over time as reads and writes are done on the system trying to keep the data stored in RAM as relevant as possible to the processes that have been running on your system. If there is free RAM available, more caching will be performed and thus more memory 'consumed'. However this doesn't really count as resource usage, since this cached memory is available in case some other process needs it. The cache is reclaimed, not at the time of process exit (you might start up another process soon that needs the same data), but upon demand. That said, focusing more specifically on the percentage question, apart from this memory that OS takes, how much should be the minimum free memory that must be available every node so that they operate normally? The answer is: As a rule of thumb 80% memory utilization is a good threshold, anything bigger than that should be investigated and remedied.

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  • How can I free all allocated memory at once?

    - by Tommy
    Here is what I am working with: char* qdat[][NUMTBLCOLS]; char** tdat[]; char* ptr_web_data; // Loop thru each table row of the query result set for(row_index = 0; row_index < number_rows; row_index++) { // Loop thru each column of the query result set and extract the data for(col_index = 0; col_index < number_cols; col_index++) { ptr_web_data = (char*) malloc((strlen(Data) + 1) * sizeof(char)); memcpy (ptr_web_data, column_text, strlen(column_text) + 1); qdat[row_index][web_data_index] = ptr_web_data; } } tdat[row_index] = qdat[col_index]; After the data is used, the memory allocated is released one at a time using free(). for(row_index = 0; row_index < number_rows; row_index++) { // Loop thru all columns used for(col_index = 0; col_index < SARWEBTBLCOLS; col_index++) { // Free memory block pointed to by results set array free(tdat[row_index][col_index]); } } Is there a way to release all the allocated memory at once, for this array? Thank You.

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  • iPhone image app not releasing memory as in instruments using imageNamed

    - by Tankista
    hi, im building iPhone app that downloads images (UIImageView) from internet and adding them to UIScrollView. This scroll view could contain 20 or more UIImageViews. Iam adding UIImages to UIImageView like this: UIImageView *newView = [[UIImageView alloc] initWithImage: image]; Then I just scroll these images like in photo app. Problem is, when I put just 3 UIImageViews in UIScrollView everything works fine, but when I put more images, more memory is used, so that app can crash after 15 or more images. I can understand it that more images alloc more memory, but in Instruments i get allocated max 2-3 MB, but in device memory raises until it crashes. When I use simulator for OS 3.0 i can see memory rising like on device. On higher versions I dont see this memory raise, why is that?

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  • memory issue iPad 4.2 crashes

    - by Manoj Kumar
    I am developing a application which receives 600-700 KB of XML data from the server. I have to do some manipulations in that data so once received the data the memory increases to 600 KB to 2 M.B. Already view occupied 4 M.B of memory in the application. So while processing the XML data i m doing some manipulation(pre-parsing) and the memory increases to 600 K.B to 2 M.B and finally decreases to 600 K.B. due to increase in memory, application gives the memory warning. While getting memory warning i m releasing all the views in the navigation controller but it releases only 1 M.B of memory. Even though I release all the views the application is crashing. Please help me out in this issue. It happens in iPad 4.2. Thanks in advance

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  • Memory address of a variable

    - by dotnetvoyager
    Hi Everyone, Is it possible to get the memory address of a variable in C#. What I am trying to do is very simple. I want to declare variables of type Double, Float, Decimal and assign the value 1.1 to each of these variables. Then I would like to go and see how these values are represented in memory. I need to get the memory address of the variable in order to see how its stored in memory. Once I have the memory address I plan to put a break point in the code and use the Debug - Windows - Memory option in visual studio to see how the numbers are stored in memory. Cheers,

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  • Control SQL Server CLR Reserved Memory

    - by Ryu
    I've recently enabled CLR on my 64 bit SQL Server 2005 machine for usage of about 3 procs. When I run the following query to gather some info on memory usage... select single_pages_kb+ multi_pages_kb + virtual_memory_committed_kb as TotalMemoryUsage, virtual_memory_reserved_kb from sys.dm_os_memory_clerks where type = 'MEMORYCLERK_SQLCLR' I get 129 mb MemoryUsage and 6.3 gb Virtual Memory Reserved The total memory of the machine is 21 gig. What does reserved virtual memory mean exactly and how can I control the size that is allocated? 6 gig is overkill for what we're doing and the memory would be much better utilized by the sproc cache. I'm concerned this reserved memory will cause swapping to the page file. Please help me take back control of the memory! Thanks

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  • Are memory leaks ever ok?

    - by Imbue
    Is it ever acceptable to have a memory leak in your C or C++ application? What if you allocate some memory and use it until the very last line of code in your application (for example, a global object's deconstructor)? As long as the memory consumption doesn't grow over time, is it OK to trust the OS to free your memory for you when your application terminates (on Windows, Mac, and Linux)? Would you even consider this a real memory leak if the memory was being used continuously until it was freed by the OS. What if a third party library forced this situation on you? Would refuse to use that third party library no matter how great it otherwise might be? I only see one practical disadvantage, and that is that these benign leaks will show up with memory leak detection tools as false positives.

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  • LRU LinkedHashMap that limits size based on available memory

    - by sanity
    I want to create a LinkedHashMap which will limit its size based on available memory (ie. when freeMemory + (maxMemory - allocatedMemory) gets below a certain threshold). This will be used as a form of cache, probably using "least recently used" as a caching strategy. My concern though is that allocatedMemory also includes (I assume) un-garbage collected data, and thus will over-estimate the amount of used memory. I'm concerned about the unintended consequences this might have. For example, the LinkedHashMap may keep deleting items because it thinks there isn't enough free memory, but the free memory doesn't increase because these deleted items aren't being garbage collected immediately. Does anyone have any experience with this type of thing? Is my concern warranted? If so, can anyone suggest a good approach? I should add that I also want to be able to "lock" the cache, basically saying "ok, from now on don't delete anything because of memory usage issues".

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