Search Results

Search found 12445 results on 498 pages for 'memory fragmentation'.

Page 154/498 | < Previous Page | 150 151 152 153 154 155 156 157 158 159 160 161  | Next Page >

  • C Programming: malloc() inside another function

    - by vikramtheone
    Hi Guys, I need help with malloc() inside another function. I'm passing a pointer and size to the function from my main() and I would like to allocate memory for that pointer dynamically using malloc() from inside that called function, but what I see is that.... the memory which is getting allocated is for the pointer declared withing my called function and not for the pointer which is inside the main(). How should I pass a pointer to a function and allocate memory for the passed pointer from inside the called function? Can anyone throw light on this? Help!!! Vikram I have written the following code and I get the output as shown below SOURCE: main() { unsigned char *input_image; unsigned int bmp_image_size = 262144; if(alloc_pixels(input_image, bmp_image_size)==NULL) printf("\nPoint2: Memory allocated: %d bytes",_msize(input_image)); else printf("\nPoint3: Memory not allocated"); } signed char alloc_pixels(unsigned char *ptr, unsigned int size) { signed char status = NO_ERROR; ptr = NULL; ptr = (unsigned char*)malloc(size); if(ptr== NULL) { status = ERROR; free(ptr); printf("\nERROR: Memory allocation did not complete successfully!"); } printf("\nPoint1: Memory allocated: %d bytes",_msize(ptr)); return status; } PROGRAM OUTPUT: Point1: Memory allocated ptr: 262144 bytes Point2: Memory allocated input_image: 0 bytes

    Read the article

  • PHP OCI8 and Oracle 11g DRCP Connection Pooling in Pictures

    - by christopher.jones
    Here is a screen shot from a PHP OCI8 connection pooling demo that I like to run. It graphically shows how little database host memory is needed when using DRCP connection pooling with Oracle Database 11g. Migrating to DRCP can be as simple as starting the pool and changing the connection string in your PHP application. The script that generated the data for this graph was a simple "Parts" query application being run under various simulated user loads. I was running the database on a small Oracle Linux server with just 2G of memory. I used PHP OCI8 1.4. Apache is in pre-fork mode, as needed for PHP. Each graph has time on the horizontal access in arbitrary 'tick' time units. Click the image to see it full sized. Pooled connections Beginning with the top left graph, At tick time 65 I used Apache's 'ab' tool to start 100 concurrent 'users' running the application. These users connected to the database using DRCP: $c = oci_pconnect('phpdemo', 'welcome', 'myhost/orcl:pooled'); A second hundred DRCP users were added to the system at tick 80 and a final hundred users added at tick 100. At about tick 110 I stopped the test and restarted Apache. This closed all the connections. The bottom left graph shows the number of statements being executed by the database per second, with some spikes for background database activity and some variability for this small test. Each extra batch of users adds another 'step' of load to the system. Looking at the top right Server Process graph shows the database server processes doing the query work for each web user. As user load is added, the DRCP server pool increases (in green). The pool is initially at its default size 4 and quickly ramps up to about (I'm guessing) 35. At tick time 100 the pool increases to my configured maximum of 40 processes. Those 40 processes are doing the query work for all 300 web users. When I stopped the test at tick 110, the pooled processes remained open waiting for more users to connect. If I had left the test quiet for the DRCP 'inactivity_timeout' period (300 seconds by default), the pool would have shrunk back to 4 processes. Looking at the bottom right, you can see the amount of memory being consumed by the database. During the initial quiet period about 500M of memory was in use. The absolute number is just an indication of my particular DB configuration. As the number of pooled processes increases, each process needs more memory. You can see the shape of the memory graph echoes the Server Process graph above it. Each of the 300 web users will also need a few kilobytes but this is almost too small to see on the graph. Non-pooled connections Compare the DRCP case with using 'dedicated server' processes. At tick 140 I started 100 web users who did not use pooled connections: $c = oci_pconnect('phpdemo', 'welcome', 'myhost/orcl'); This connection string change is the only difference between the two tests. At ticks 155 and 165 I started two more batches of 100 simulated users each. At about tick 195 I stopped the user load but left Apache running. Apache then gradually returned to its quiescent state, killing idle httpd processes and producing the downward slope at the right of the graphs as the persistent database connection in each Apache process was closed. The Executions per Second graph on the bottom left shows the same step increases as for the earlier DRCP case. The database is handling this load. But look at the number of Server processes on the top right graph. There is now a one-to-one correspondence between Apache/PHP processes and DB server processes. Each PHP processes has one DB server processes dedicated to it. Hence the term 'dedicated server'. The memory required on the database is proportional to all those database server processes started. Almost all my system's memory was consumed. I doubt it would have coped with any more user load. Summary Oracle Database 11g DRCP connection pooling significantly reduces database host memory requirements allow more system memory to be allocated for the SGA and allowing the system to scale to handled thousands of concurrent PHP users. Even for small systems, using DRCP allows more web users to be active. More information about PHP and DRCP can be found in the PHP Scalability and High Availability chapter of The Underground PHP and Oracle Manual.

    Read the article

  • Error java.lang.OutOfMemoryError: getNewTla using Oracle EPM products

    - by Marc Schumacher
    Running into a Java out of memory error, it is very common behaviour in the field that the Java heap size will be increased. While this might help to solve a heap space out of memory error, it might not help to fix an out of memory error for the Thread Local Area (TLA). Increasing the available heap space from 1 GB to 16 GB might not even help in this situation. The Thread Local Area (TLA) is part of the Java heap, but as the name already indicates, this memory area is local to a specific thread so there is no need to synchronize with other threads using this memory area. For optimization purposes the TLA size is configurable using the Java command line option “-XXtlasize”. Depending on the JRockit version and the available Java heap, the default values vary. Using Oracle EPM System (mainly 11.1.2.x) the following setting was tested successfully: -XXtlasize:min=8k,preferred=128k More information about the “-XXtlasize” parameter can be found in the JRockit documentation: http://docs.oracle.com/cd/E13150_01/jrockit_jvm/jrockit/jrdocs/refman/optionXX.html

    Read the article

  • Fast Track Data Warehouse 3.0 Reference Guide

    - by jchang
    Microsoft just release Fast Track Data Warehouse 3.0 Reference Guide version. The new changes are increased memory recommendation and the disks per RAID group change from 2-disk RAID 1 to 4-Disk RAID 10. Memory The earlier FTDW reference architecture cited 4GB memory per core. There was no rational behind this, but it was felt some rule was better than no rule. The new FTDW RG correctly cites the rational that more memory helps keep hash join intermediate results and sort operations in memory. 4-Disk...(read more)

    Read the article

  • Can my computer run Ubuntu? [duplicate]

    - by Harry B
    This question already has an answer here: How do I find out which version and derivative of Ubuntu is right for my hardware in terms of minimal system requirements? 2 answers Just want to check if my computer can run Ubuntu. It is an old IBM ThinkPad, so here are the basic stats I could find: IBM 28832ZU Processor Intel(R) Celeron(R) M processor 1300MHz Processor Speed 1.27 GHz Memory (RAM) 2048 MB Operating System Microsoft Windows XP Professional Operating System Version 5.1.2600 Intel Extreme Graphics 2M And here is some info pulled from the graphics panel NTEL(R) EXTREME GRAPHICS 2 FOR MOBILE REPORT Report Date: 06/28/2013 Report Time[hr:mm:ss]: 17:53:20 Driver Version: 6.14.10.3943 Operating System: Windows NT* 5.1.2600 Service Pack 2 Default Language: English DirectX* Version: 9.0 Physical Memory: 2038 MB Min. Graphics Memory: 8 MB Max. Graphics Memory: 64 MB Graphics Memory in use: 7 MB Processor: x86 family 6 Model 9 Stepping 5 Processor Speed: 1296 MHZ Device Revision: 2 Output Devices Connected to Graphics Accelerator * Active Notebook Displays:1

    Read the article

  • What can lead to a zone memory exhaustion and how Nginx reacts to it?

    - by Miles Hughes
    What is a possible scenario for exhausting the memory designated to a connection zone with limit_conn_zone directive and what are the implication in this case? Suppose I have this in my configuration: http { limit_conn_zone $binary_remote_addr zone=connzone:1m; ... server { limit_conn connzone 5; which, according to the documentation, allocates 16000 states for connzone on a 64-bit server. It also says that If the storage for a zone is exhausted, the server will return error 503 (Service Temporarily Unavailable) to all further requests. Well, Ok. But what does it mean on practice? When does this happen? Who receives those 503s? Does it mean that if the number of IPs somehow associated with connzone hits 16000 everyone gets a 503 and it's all over? How does Nginx decide? The documentation is weirdly vague on this. So, considering the example config, who would actually get a 503 and under which circumstances and how would things go from there? Same with request zones?

    Read the article

  • Hard drive degredation from large memory usage and paging files?

    - by Stephen R
    I've had a question(s) regarding computer degradation going through my head for a while and haven't found many good resources for researching it. 1) First off, when is the virtual RAM/paging file on a hard drive used by Windows? Is it used when the RAM is full? Or does it use the Virtual RAM/paging file as intermediate caching between the RAM and actual hard drive space all the time? 2) If I were to run many applications on my computer at the same time and have a bad habit of doing this for the entire lifetime of the computer, does it use more of the virtual RAM/paging file than if I were to have fewer programs running? Just to note, the RAM never fills up on my computer but it is used heavily. 3) By extension of question 2, if the virtual RAM/paging file is used more heavily, would that result in rapid hard drive degradation? I have seen a pattern among all of the computers that I have owned or used in the past 5 years. I am the kind of person to leave my web browser up with 40 tabs among other programs which will eat up 40% of my memory typically. Over time my computer will slow down, browsers start crashing, programs start seizing up or crashing themselves, eventually the computer becomes essentially unusable. I have been trying to rack my mind to come up with a solution other than to purchase a new PC to have it die on me in the next couple years as well. This is the only thought that has come to mind that might have a simple hardware fix...Windows ReadyBoost...Maybe? I'd like to be able to discuss this so I can learn something about all of the above. Thanks.

    Read the article

  • Nginx , Apache , Mysql , Memcache with server 4G ram. How optimize to enought memory?

    - by TomSawyer
    i have 1 dedicated server with Nginx proxy for Apache. Memcache, mysql, 4G Ram. These day, my visitor on my site wasn't increased, but my server get overload always in some specified time. (9AM - 15PM) Ram in use is increased second by second to full. that's moment, my server will get overload. i have to kill all apache , mysql service and reboot it to get free memory. that's the circle. here is my ram in use at the moment 160(nginx) 220(apache) 512(memcache) 924(mysql) here's process number 4(nginx) 14(apache) 5(memcache) 20(mysql) and here's my my.cnf config. someone can help me to optimize it? [mysqld] datadir=/var/lib/mysql socket=/var/lib/mysql/mysql.sock user=mysql skip-locking skip-networking skip-name-resolve # enable log-slow-queries log-slow-queries = /var/log/mysql-slow-queries.log long_query_time=3 max_connections=200 wait_timeout=64 connect_timeout = 10 interactive_timeout = 25 thread_stack = 512K max_allowed_packet=16M table_cache=1500 read_buffer_size=4M join_buffer_size=4M sort_buffer_size=4M read_rnd_buffer_size = 4M max_heap_table_size=256M tmp_table_size=256M thread_cache=256 query_cache_type=1 query_cache_limit=4M query_cache_size=16M thread_concurrency=8 myisam_sort_buffer_size=128M # Disabling symbolic-links is recommended to prevent assorted security risks symbolic-links=0 [mysqldump] quick max_allowed_packet=16M [mysql] no-auto-rehash [isamchk] key_buffer=256M sort_buffer=256M read_buffer=64M write_buffer=64M [myisamchk] key_buffer=256M sort_buffer=256M read_buffer=64M write_buffer=64M [mysqlhotcopy] interactive-timeout [mysql.server] user=mysql basedir=/var/lib [mysqld_safe] log-error=/var/log/mysqld.log pid-file=/var/run/mysqld/mysqld.pid

    Read the article

  • Killing a process which ran for a lot of time or is using a lot of memory

    - by Vedant Terkar
    I am not sure whether this question belong to Stack Overflow or here, but here we go. I am designing a online 'C' compiler, which will compile and invoke the program if compilation succeeded. So here is code which I am using for that: $str=shell_exec("gcc path/to/file.c -o path/to/file.exe 2>&1"); if(file_exists("path/to/file.exe")){ $res=shell_exec("path/to/file.exe <inputfile 2>&1"); echo $res; } This Seems to work fine with simple program files. But When file.c That is the source code entered contains Infinite loop then This script crashes the server and utilizes a lot of memory and time. So here is my question: Is There any way to detect for how much time does the process file.exe is Running? How Much Space is Utilized by that process that is file.exe? Is There any way to kill the process file.exe if space and time utilization increases beyond certain limit? That Mean if we allocate time of 2.5sec and space of 40Mb at max for that process file.exe and if any one of those 2 constraints is violated then we should display appropriate error message to client Is it possible? I am Using WAMP (Windows 7).

    Read the article

  • Don't Cut Corners on Server Defragmentation

    Hard-Core Hardware: Fragmentation may not cut it as a big screen villain, but it remains a threat and handicap to optimal server performance. In this era of massive hard drives and virtualization, minimizing fragmentation is more critical than ever.

    Read the article

  • Don't Cut Corners on Server Defragmentation

    Hard-Core Hardware: Fragmentation may not cut it as a big screen villain, but it remains a threat and handicap to optimal server performance. In this era of massive hard drives and virtualization, minimizing fragmentation is more critical than ever.

    Read the article

  • How to solve "java.io.IOException: error=12, Cannot allocate memory" calling Runtime#exec()?

    - by Andrea Francia
    On my system I can't run a simple Java application that start a process. I don't know how to solve. Could you give me some hints how to solve? The program is: [root@newton sisma-acquirer]# cat prova.java import java.io.IOException; public class prova { public static void main(String[] args) throws IOException { Runtime.getRuntime().exec("ls"); } } The result is: [root@newton sisma-acquirer]# javac prova.java && java -cp . prova Exception in thread "main" java.io.IOException: Cannot run program "ls": java.io.IOException: error=12, Cannot allocate memory at java.lang.ProcessBuilder.start(ProcessBuilder.java:474) at java.lang.Runtime.exec(Runtime.java:610) at java.lang.Runtime.exec(Runtime.java:448) at java.lang.Runtime.exec(Runtime.java:345) at prova.main(prova.java:6) Caused by: java.io.IOException: java.io.IOException: error=12, Cannot allocate memory at java.lang.UNIXProcess.<init>(UNIXProcess.java:164) at java.lang.ProcessImpl.start(ProcessImpl.java:81) at java.lang.ProcessBuilder.start(ProcessBuilder.java:467) ... 4 more Configuration of the system: [root@newton sisma-acquirer]# java -version java version "1.6.0_0" OpenJDK Runtime Environment (IcedTea6 1.5) (fedora-18.b16.fc10-i386) OpenJDK Client VM (build 14.0-b15, mixed mode) [root@newton sisma-acquirer]# cat /etc/fedora-release Fedora release 10 (Cambridge) EDIT: Solution This solves my problem, I don't know exactly why: echo 0 /proc/sys/vm/overcommit_memory Up-votes for who is able to explain :) Additional informations, top output: top - 13:35:38 up 40 min, 2 users, load average: 0.43, 0.19, 0.12 Tasks: 129 total, 1 running, 128 sleeping, 0 stopped, 0 zombie Cpu(s): 1.5%us, 0.5%sy, 0.0%ni, 94.8%id, 3.2%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1033456k total, 587672k used, 445784k free, 51672k buffers Swap: 2031608k total, 0k used, 2031608k free, 188108k cached Additional informations, free output: [root@newton sisma-acquirer]# free total used free shared buffers cached Mem: 1033456 588548 444908 0 51704 188292 -/+ buffers/cache: 348552 684904 Swap: 2031608 0 2031608

    Read the article

  • Why my UTableView with style UITableViewStyleGrouped is consuming memory?

    - by prathumca
    Hello everyone, Currently in my app, I'm using an UITableView with style UITableViewStyleGrouped as shown below. CGRect imgFrame = CGRectMake(0, 0, 320, 650); UITableView *myTable = [[UITableView alloc] initWithFrame:imgFrame style:UITableViewStyleGrouped]; myTable.dataSource = self; myTable.delegate = self; //make the current object the event handler for view [self.view addSubview:myTable]; [myTable release]; And the data has stored in an array "dataArray". dataArray has collection of arrays, where each array represent a section. Currently I have only one section with 100 records. When I installed my app onto my IPhone, I observed that this UITableView is consuming 20 MB of IPhone memory. If I changed the table view style to "UITableViewStylePlain", then it is consuming only 4MB of memory. I'm trying to figure it out, where is the exact problem, but not. What was wrong with "UITableViewStyleGrouped"? Regards, prathumca.

    Read the article

  • what webserver / mod / technique should I use to serve everything from memory?

    - by reinier
    I've lots of lookuptables from which I'll generate my webresponse. I think IIS with Asp.net enables me to keep static lookuptables in memory which I can use to serve up my responses very fast. Are there however also non .net solutions which can do the same? I've looked at fastcgi, but I think this starts X processes, of which anyone can handle Y requests. But the processes are by definition shielded from eachother. I could configure fastcgi to use just 1 process, but does this have scalability implications? anything using PHP or any other interpreted language won't fly because it is also cgi or fastcgi bound right? I understand memcache could be an option, though this would require another (local) socket connection which I'd rather avoid since everything in memory would be much faster. The solution can work under WIndows or Unix... it doesn't matter too much. The only thing which matters is that there will be a lot of requests (100/sec now and growing to 500/sec in a year), and I want to reduce the amount of webservers needed to process it. The current solution is done using PHP and memcache (and the occasional hit to the SQL server backend). Although it is fast (for php anyway), Apache has real problems when the 50/sec is passed. I've put a bounty on this question since I've not seen enough responses to make a wise choice. At the moment I'm considering either Asp.net or fastcgi with C(++).

    Read the article

  • _dl_runtime_resolve -- When do the shared objects get loaded in to memory?

    - by windfinder
    We have a message processing system with high performance demands. Recently we have noticed that the first message takes many times longer then subsequent messages. A bunch of transformation and message augmentation happens as this goes through our system, much of it done by way of external lib. I just profiled this issue (using callgrind), comparing a "run" of just one message with a "run" of many messages (providing a baseline of comparison). The main difference I see is the function "do_lookup_x" taking up a huge amount of time. Looking at the various calls to this function, they all seem to be called by the common function: _dl_runtime_resolve. Not sure what this function does, but to me this looks like the first time the various shared libraries are being used, and are then being loaded in to memory by the ld. Is this a correct assumption? That the binary will not load the shared libraries in to memory until they are being prepped for use, therefore we will see a massive slowdown on the first message, but on none of the subsequent? How do we go about avoiding this? Note: We operate on the microsecond scale.

    Read the article

  • Is there a way to programmatically tell if particular block of memory was not freed by FastMM?

    - by Wodzu
    I am trying to detect if a block of memory was not freed. Of course, the manager tells me that by dialog box or log file, but what if I would like to store results in a database? For example I would like to have in a database table a names of routines which allocated given blocks. After reading a documentation of FastMM I know that since version 4.98 we have a possibility to be notified by manager about memory allocations, frees and reallocations as they occur. For example OnDebugFreeMemFinish event is passing to us a PFullDebugBlockHeader which contains useful informations. There is one thing that PFullDebugBlockHeader is missing - the information if the given block was freed by the application. Unless OnDebugFreeMemFinish is called only for not freed blocks? This is which I do not know and would like to find out. The problem is that even hooking into OnDebugFreeMemFinish event I was unable to find out if the block was freed or not. Here is an example: program MemLeakTest; {$APPTYPE CONSOLE} uses FastMM4, ExceptionLog, SysUtils; procedure MemFreeEvent(APHeaderFreedBlock: PFullDebugBlockHeader; AResult: Integer); begin //This is executed at the end, but how should I know that this block should be freed //by application? Unless this is executed ONLY for not freed blocks. end; procedure Leak; var MyObject: TObject; begin MyObject := TObject.Create; end; begin OnDebugFreeMemFinish := MemFreeEvent; Leak; end. What I am missing is the callback like: procedure OnMemoryLeak(APointer: PFullDebugBlockHeader); After browsing the source of FastMM I saw that there is a procedure: procedure LogMemoryLeakOrAllocatedBlock(APointer: PFullDebugBlockHeader; IsALeak: Boolean); which could be overriden, but maybe there is an easier way?

    Read the article

  • Question about memory allocation when initializing char arrays in C/C++.

    - by Carlos Nunez
    Before anything, I apologize if this question has been asked before. I am programming a simple packet sniffer for a class project. For a little while, I ran into the issue where the source and destination of a packet appeared to be the same. For example, the source and destination of an Ethernet frame would be the same MAC address all of the time. I custom-made ether_ntoa(char *) because Windows does not seem to have ethernet.h like Linux does. Code snippet is below: char *ether_ntoa(u_char etheraddr[ETHER_ADDR_LEN]) { int i, j; char eout[32]; for(i = 0, j = 0; i < 5; i++) { eout[j++] = etheraddr[i] >> 4; eout[j++] = etheraddr[i] & 0xF; eout[j++] = ':'; } eout[j++] = etheraddr[i] >> 4; eout[j++] = etheraddr[i] & 0xF; eout[j++] = '\0'; for(i = 0; i < 17; i++) { if(eout[i] < 10) eout[i] += 0x30; else if(eout[i] < 16) eout[i] += 0x57; } return(eout); } I solved the problem by using malloc() to have the compiler assign memory (i.e. instead of char eout[32], I used char * eout; eout = (char *) malloc (32);). However, I thought that the compiler assigned different memory locations when one sized a char-array at compile time. Is this incorrect? Thanks! Carlos Nunez

    Read the article

  • How to store an interger value of 4 bytes in a memory of chunk which is malloced as type char

    - by Adi
    Dear all, Hello Guys!! This is my first post in the forum . I am really looking forward to having good fun in this site. My question is : int mem_size = 10; char *start_ptr; if((start_ptr= malloc(mem_size*1024*1024*sizeof(char)))==NULL) {return -1;} I have allocated a chunk of memory of type char and size is say 10 MB (i.e mem_size = 10 ); Now I want to store the size information in the header of the memory chunk, To make myself more clear Lets Say : start_ptr = 0xaf868004 (This is the value I got from my execution, it changes every time) Now I want to put the size information in the start of this pointer.. i.e *start_ptr = mem_size*1024*1024; But I am not able to put this information in the start_ptr. I think the reason is because my ptr is of type char which only takes one byte but I am trying to store int which takes 4 bytes, is the problem . I am not sure how to fix this problem.. I would greatly appreciate your suggestions. Cheers!! Aditya

    Read the article

  • How much is too much memory allocation in NDK?

    - by Maximus
    The NDK download page notes that, "Typical good candidates for the NDK are self-contained, CPU-intensive operations that don't allocate much memory, such as signal processing, physics simulation, and so on." I came from a C background and was excited to try to use the NDK to operate most of my OpenGL ES functions and any native functions related to physics, animation of vertices, etc... I'm finding that I'm relying quite a bit on Native code and wondering if I may be making some mistakes. I've had no trouble with testing at this point, but I'm curious if I may run into problems in the future. For example, I have game struct defined (somewhat like is seen in the San-Angeles example). I'm loading vertex information for objects dynamically (just what is needed for an active game area) so there's quite a bit of memory allocation happening for vertices, normals, texture coordinates, indices and texture graphic data... just to name the essentials. I'm quite careful about freeing what is allocated between game areas. Would I be safer setting some caps on array sizes or should I charge bravely forward as I'm going now?

    Read the article

  • CArray doesn't call copy constructors on memory reallocations, now what?

    - by MMx
    Suppose I have a class that requires copy constructor to be called to make a correct copy of: struct CWeird { CWeird() { number = 47; target = &number; } CWeird(const CWeird &other) : number(other.number), target(&number) { } void output() { printf("%d %d\n", *target, number); } int *target, number; }; Now the trouble is that CArray doesn't call copy constructors on its elements when reallocating memory (only memcpy from the old memory to the new), e.g. this code CArray<CWeird> a; a.SetSize(1); a[0].output(); a.SetSize(2); a[0].output(); results in 47 47 -572662307 47 I don't get this. Why is it that std::vector can copy the same objects properly and CArray can't? What's the lesson here? Should I use only classes that don't require explicit copy constructors? Or is it a bad idea to use CArray for anything serious?

    Read the article

  • VMWare Server :: VM set to 2gb RAM but vmware process shows 100mb physical, 1900mb virtual

    - by brad
    I've set up a VMWare instance to run CastIron Integration Appliance. I allocated 2gb of memory to the instance, assuming it would take this as physical memory (my server has 8gb total). When I view top however on the server, the vmware-vmx process has about 100m Resident memory and 1900m Virtual. Running CastIron it reports that the appliance often hits 50% memory usage. Does this mean I'm using 900mb of harddrive space as memory? I wanted VMWare to use 2gb of physical memory, no swap. Can anyone tell me how to achieve this? Setup Debian Lenny 5.0.3 VMWare Server 2.0.2

    Read the article

  • Cannot SSH anymore, what went wrong?

    - by lbwtz2
    I use to ssh to a remote server (no rsa-key, just password). Now the server do not accept the connection any more and throw me this error: ssh_exchange_identification: Connection closed by remote host While I can google a little to find a fix I can't figure out what went wrong since I haven't touched anything on the machine since last login. Can you help me find the cause? EDIT: Inspecting the logs I've found these: /var/auth.log /var/log/auth.log:Dec 26 16:40:32 vps sshd[15567]: error: fork: Cannot allocate memory /var/log/auth.log:Dec 26 16:41:05 vps sshd[15567]: error: fork: Cannot allocate memory /var/log/auth.log:Dec 26 16:43:47 vps sshd[15567]: error: fork: Cannot allocate memory /var/log/auth.log:Dec 27 03:20:06 vps sshd[15567]: error: fork: Cannot allocate memory /var/log/auth.log:Dec 27 16:15:02 vps sshd[15567]: error: fork: Cannot allocate memory And in the same span-time I've also found a lot of these: /var/log/auth.log:Dec 26 13:00:01 vps CRON[1716]: PAM unable to dlopen(/lib/security/pam_unix.so): libcrypt.so.1: cannot map zero-fill pages: Cannot allocate memory /var/log/auth.log:Dec 26 13:00:01 vps CRON[1716]: PAM adding faulty module: /lib/security/pam_unix.so What are these?

    Read the article

  • 10 Windows Tweaking Myths Debunked

    - by Chris Hoffman
    Windows is big, complicated, and misunderstood. You’ll still stumble across bad advice from time to time when browsing the web. These Windows tweaking, performance, and system maintenance tips are mostly just useless, but some are actively harmful. Luckily, most of these myths have been stomped out on mainstream sites and forums. However, if you start searching the web, you’ll still find websites that recommend you do these things. Erase Cache Files Regularly to Speed Things Up You can free up disk space by running an application like CCleaner, another temporary-file-cleaning utility, or even the Windows Disk Cleanup tool. In some cases, you may even see an old computer speed up when you erase a large amount of useless files. However, running CCleaner or similar utilities every day to erase your browser’s cache won’t actually speed things up. It will slow down your web browsing as your web browser is forced to redownload the files all over again, and reconstruct the cache you regularly delete. If you’ve installed CCleaner or a similar program and run it every day with the default settings, you’re actually slowing down your web browsing. Consider at least preventing the program from wiping out your web browser cache. Enable ReadyBoost to Speed Up Modern PCs Windows still prompts you to enable ReadyBoost when you insert a USB stick or memory card. On modern computers, this is completely pointless — ReadyBoost won’t actually speed up your computer if you have at least 1 GB of RAM. If you have a very old computer with a tiny amount of RAM — think 512 MB — ReadyBoost may help a bit. Otherwise, don’t bother. Open the Disk Defragmenter and Manually Defragment On Windows 98, users had to manually open the defragmentation tool and run it, ensuring no other applications were using the hard drive while it did its work. Modern versions of Windows are capable of defragmenting your file system while other programs are using it, and they automatically defragment your disks for you. If you’re still opening the Disk Defragmenter every week and clicking the Defragment button, you don’t need to do this — Windows is doing it for you unless you’ve told it not to run on a schedule. Modern computers with solid-state drives don’t have to be defragmented at all. Disable Your Pagefile to Increase Performance When Windows runs out of empty space in RAM, it swaps out data from memory to a pagefile on your hard disk. If a computer doesn’t have much memory and it’s running slow, it’s probably moving data to the pagefile or reading data from it. Some Windows geeks seem to think that the pagefile is bad for system performance and disable it completely. The argument seems to be that Windows can’t be trusted to manage a pagefile and won’t use it intelligently, so the pagefile needs to be removed. As long as you have enough RAM, it’s true that you can get by without a pagefile. However, if you do have enough RAM, Windows will only use the pagefile rarely anyway. Tests have found that disabling the pagefile offers no performance benefit. Enable CPU Cores in MSConfig Some websites claim that Windows may not be using all of your CPU cores or that you can speed up your boot time by increasing the amount of cores used during boot. They direct you to the MSConfig application, where you can indeed select an option that appears to increase the amount of cores used. In reality, Windows always uses the maximum amount of processor cores your CPU has. (Technically, only one core is used at the beginning of the boot process, but the additional cores are quickly activated.) Leave this option unchecked. It’s just a debugging option that allows you to set a maximum number of cores, so it would be useful if you wanted to force Windows to only use a single core on a multi-core system — but all it can do is restrict the amount of cores used. Clean Your Prefetch To Increase Startup Speed Windows watches the programs you run and creates .pf files in its Prefetch folder for them. The Prefetch feature works as a sort of cache — when you open an application, Windows checks the Prefetch folder, looks at the application’s .pf file (if it exists), and uses that as a guide to start preloading data that the application will use. This helps your applications start faster. Some Windows geeks have misunderstood this feature. They believe that Windows loads these files at boot, so your boot time will slow down due to Windows preloading the data specified in the .pf files. They also argue you’ll build up useless files as you uninstall programs and .pf files will be left over. In reality, Windows only loads the data in these .pf files when you launch the associated application and only stores .pf files for the 128 most recently launched programs. If you were to regularly clean out the Prefetch folder, not only would programs take longer to open because they won’t be preloaded, Windows will have to waste time recreating all the .pf files. You could also modify the PrefetchParameters setting to disable Prefetch, but there’s no reason to do that. Let Windows manage Prefetch on its own. Disable QoS To Increase Network Bandwidth Quality of Service (QoS) is a feature that allows your computer to prioritize its traffic. For example, a time-critical application like Skype could choose to use QoS and prioritize its traffic over a file-downloading program so your voice conversation would work smoothly, even while you were downloading files. Some people incorrectly believe that QoS always reserves a certain amount of bandwidth and this bandwidth is unused until you disable it. This is untrue. In reality, 100% of bandwidth is normally available to all applications unless a program chooses to use QoS. Even if a program does choose to use QoS, the reserved space will be available to other programs unless the program is actively using it. No bandwidth is ever set aside and left empty. Set DisablePagingExecutive to Make Windows Faster The DisablePagingExecutive registry setting is set to 0 by default, which allows drivers and system code to be paged to the disk. When set to 1, drivers and system code will be forced to stay resident in memory. Once again, some people believe that Windows isn’t smart enough to manage the pagefile on its own and believe that changing this option will force Windows to keep important files in memory rather than stupidly paging them out. If you have more than enough memory, changing this won’t really do anything. If you have little memory, changing this setting may force Windows to push programs you’re using to the page file rather than push unused system files there — this would slow things down. This is an option that may be helpful for debugging in some situations, not a setting to change for more performance. Process Idle Tasks to Free Memory Windows does things, such as creating scheduled system restore points, when you step away from your computer. It waits until your computer is “idle” so it won’t slow your computer and waste your time while you’re using it. Running the “Rundll32.exe advapi32.dll,ProcessIdleTasks” command forces Windows to perform all of these tasks while you’re using the computer. This is completely pointless and won’t help free memory or anything like that — all you’re doing is forcing Windows to slow your computer down while you’re using it. This command only exists so benchmarking programs can force idle tasks to run before performing benchmarks, ensuring idle tasks don’t start running and interfere with the benchmark. Delay or Disable Windows Services There’s no real reason to disable Windows services anymore. There was a time when Windows was particularly heavy and computers had little memory — think Windows Vista and those “Vista Capable” PCs Microsoft was sued over. Modern versions of Windows like Windows 7 and 8 are lighter than Windows Vista and computers have more than enough memory, so you won’t see any improvements from disabling system services included with Windows. Some people argue for not disabling services, however — they recommend setting services from “Automatic” to “Automatic (Delayed Start)”. By default, the Delayed Start option just starts services two minutes after the last “Automatic” service starts. Setting services to Delayed Start won’t really speed up your boot time, as the services will still need to start — in fact, it may lengthen the time it takes to get a usable desktop as services will still be loading two minutes after booting. Most services can load in parallel, and loading the services as early as possible will result in a better experience. The “Delayed Start” feature is primarily useful for system administrators who need to ensure a specific service starts later than another service. If you ever find a guide that recommends you set a little-known registry setting to improve performance, take a closer look — the change is probably useless. Want to actually speed up your PC? Try disabling useless startup programs that run on boot, increasing your boot time and consuming memory in the background. This is a much better tip than doing any of the above, especially considering most Windows PCs come packed to the brim with bloatware.     

    Read the article

  • Multiple vulnerabilities in Firefox

    - by Ritwik Ghoshal
    CVE DescriptionCVSSv2 Base ScoreComponentProduct and Resolution CVE-2012-3982 Denial of service (DoS) vulnerability 10.0 Firefox Solaris 10 SPARC: 145080-13 X86: 145081-12 CVE-2012-3983 Denial of service (DoS) vulnerability 10.0 CVE-2012-3986 Permissions, Privileges, and Access Controls vulnerability 6.4 CVE-2012-3988 Resource Management Errors vulnerability 9.3 CVE-2012-3990 Resource Management Errors vulnerability 10.0 CVE-2012-3991 Permissions, Privileges, and Access Controls vulnerability 9.3 CVE-2012-3992 Permissions, Privileges, and Access Controls vulnerability 5.8 CVE-2012-3993 Design Error vulnerability 9.3 CVE-2012-3994 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability 4.3 CVE-2012-3995 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 10.0 CVE-2012-4179 Resource Management Errors vulnerability 10.0 CVE-2012-4180 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 10.0 CVE-2012-4181 Resource Management Errors vulnerability 10.0 CVE-2012-4182 Resource Management Errors vulnerability 10.0 CVE-2012-4183 Resource Management Errors vulnerability 10.0 CVE-2012-4184 Permissions, Privileges, and Access Controls vulnerability 9.3 CVE-2012-4185 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 10.0 CVE-2012-4186 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 10.0 CVE-2012-4187 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 10.0 CVE-2012-4188 Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability 10.0 CVE-2012-4192 Permissions, Privileges, and Access Controls vulnerability 4.3 CVE-2012-4193 Design Error vulnerability 9.3 CVE-2012-4194 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability 4.3 CVE-2012-4195 Permissions, Privileges, and Access Controls vulnerability 5.1 CVE-2012-4196 Permissions, Privileges, and Access Controls vulnerability 5.0 This notification describes vulnerabilities fixed in third-party components that are included in Oracle's product distributions.Information about vulnerabilities affecting Oracle products can be found on Oracle Critical Patch Updates and Security Alerts page. Note: Solaris 10 patches SPARC: 145080-13 X86: 145081-12 contain the fix for all CVEs between Firefox version 10.0.7 and 10.0.12.

    Read the article

  • Ubuntu 13.10, kernel 3.11 blank screen issue with hybrid graphics

    - by Lagerbaer
    On my HP Envy, which has both an Intel on-chip graphics card and an Nvidia Geforce: *-display UNCLAIMED description: 3D controller product: GK208M [GeForce GT 740M] vendor: NVIDIA Corporation physical id: 0 bus info: pci@0000:01:00.0 version: a1 width: 64 bits clock: 33MHz capabilities: cap_list configuration: latency=0 resources: memory:d2000000-d2ffffff memory:a0000000-afffffff memory:b0000000-b1ffffff ioport:5000(size=128) memory:b2000000-b207ffff *-display description: VGA compatible controller product: 4th Gen Core Processor Integrated Graphics Controller vendor: Intel Corporation physical id: 2 bus info: pci@0000:00:02.0 version: 06 width: 64 bits clock: 33MHz capabilities: vga_controller bus_master cap_list rom configuration: driver=i915 latency=0 resources: irq:46 memory:d3000000-d33fffff memory:c0000000-cfffffff ioport:6000(size=64) I have trouble with all newer kernels. I basically had to install 12.04 LTS and use their 3.5 kernel family to get the system to boot. The 3.8 from 12.10 or the newest 3.11 from Ubuntu 13.10 leave me with a black screen upon boot. On one occasion I did hear the "log in" sound, but the screen did not display anything. I have purged all nvidia drivers so I guess it should just use the intel drivers, but apparently this is all messed up with newer kernel versions. This is different from the other "nvidia boots into blank screen" bug in that I don't rely solely on an nvidia card. Surely the intel on-chip card should be supported and leave me with something different from a blank screen? Again, it only works with kernel versions 3.5.0-41-generic, not with the 3.11.0-12 one that ships with Ubuntu 13.10. When I go into the grub menu and change the boot options from 'quiet splash' to 'nomodeset' I am able to boot the system, but then I don't get any graphics and trying 'sudo service lightdm start' doesn't succeed (I get 100% CPU for apport, but this doesn't do anything either, so I kill it). Help, I'm all out of ideas. EDIT: Let me add that I'm using the EFI boot system and have a dual-boot installation with Windows 8.

    Read the article

< Previous Page | 150 151 152 153 154 155 156 157 158 159 160 161  | Next Page >