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• Amazon EC2 Web server in Load Balancer gives 503

  - by dale

  we've been running our web servers at Amazon with load balancer and auto-scaling for over a year with no problem. All of a sudden today the request began to get aborted with the error: 503 ... Backend server is at capacity The web servers are at 1% CPU and no other alarms trigger. We use Amazons load balancer and nginx. Lots of requests like this are showing up in the access_log. 10.246.114.93 - - [05/Jun/2014:20:16:09 +0000] "-" 400 0 "-" "-" 10.246.114.93 - - [05/Jun/2014:20:16:09 +0000] "-" 400 0 "-" "-" 10.246.114.93 - - [05/Jun/2014:20:16:09 +0000] "-" 400 0 "-" "-" 10.246.114.93 - - [05/Jun/2014:20:16:09 +0000] "-" 400 0 "-" "-" 10.246.114.93 - - [05/Jun/2014:20:16:10 +0000] "-" 400 0 "-" "-" 10.246.114.93 - - [05/Jun/2014:20:16:10 +0000] "-" 400 0 "-" "-" 10.246.114.93 - - [05/Jun/2014:20:16:10 +0000] "-" 400 0 "-" "-" 10.229.15.214 - - [05/Jun/2014:20:16:10 +0000] "-" 400 0 "-" "-" 10.229.15.214 - - [05/Jun/2014:20:16:10 +0000] "-" 400 0 "-" "-" Any thoughts?

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• Common filesystem for servers behind a rackspace load balancer

  - by thanos panousis

  Our PHP application consists of a single web server that will receive files from clients and perform a CPU-intensive analysis on them. Right now, analysis of a single user upload can take 3sec to conclude and take 100% CPU. This makes our system capacity amount to 1/3 requests per second. My team's requirement is to increase capacity without a lot of code reengineering. A possible solution would be to set up a load balancer in front of multiple servers running the same app, connecting to a common DB. The problem is that the analysis outputs files on disk. A load balancer would increase capacity, but then files won't be available between servers so consequent client requests may fail. We are hosted on Rackspace, is there a way to configure some sort of "common" storage for all servers, without having to rewrite our file persistance code? Current code relies on simple fopens etc. What are our options?

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• PostgreSQL 9.0 HA load balancing between servers

  - by Vijay Ramachandran

  Hey folks, I'm bashing my head to configure load balancing stuff between two database servers. I have no clue whether, I can find any mechanism to implement this. I already tried to implement Heart beat clustering but it requires virtual Ip wherein I can't create virtual IP or assign my own IP address in amazon EC2. Is there a way to configure PostgreSQL database servers in similar to Amazon load balancing kind of thing ? If so, please suggest the solution. Thanks in advance.

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• PHP and load balancing

  - by StCee

  I have one major domain but the server spec behind it is not good enough. Hence I want to relay the traffic, in particular php-mysql queries to multiple smaller servers. How is that normally be done? (BTW I wonder how much traffic or number of php/mysql request a normal setup on ec2 micro instance can handle? ) I did have a look of EC2 load balancer. But is it only possible to load balance on machines of your own account?

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• Load balanced proxies to avoid an API request limit

  - by ClickClickClick

  There is a certain API out there which limits the number of requests per day per IP. My plan is to create a bunch of EC2 instances with elastic IPs to sidestep the limitation. I'm familiar with EC2 and am just interested in the configuration of the proxies and a software load balancer. I think I want to run a simple TCP Proxy on each instance and a software load balancer on the machine I will be requesting from. Something that allows the following to return a response from a different IP (round robin, availability, doesn't really matter..) eg. curl http://www.bbc.co.uk -x http://myproxyloadbalancer:port Could anyone recommend a combination of software or even a link to an article that details a pleasing way to pull it off? (My client won't be curl but is proxy aware.. I'll be making the requests from a Ruby script..)

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• Data Structure Behind Amazon S3s Keys (Filtering Data Structure)

  - by dimo414

  I'd like to implement a data structure similar to the lookup functionality of Amazon S3. For those of you who don't know what I'm taking about, Amazon S3 stores all files at the root, but allows you to look up groups of files by common prefixes in their names, therefore replicating the power of a directory tree without the complexity of it. The catch is, both lookup and filter operations are O(1) (or close enough that even on very large buckets - S3's disk equivalents - both operations might as well be O(1))). So in short, I'm looking for a data structure that functions like a hash map, with the added benefit of efficient (at the very least not O(n)) filtering. The best I can come up with is extending HashMap so that it also contains a (sorted) list of contents, and doing a binary search for the range that matches the prefix, and returning that set. This seems slow to me, but I can't think of any other way to do it. Does anyone know either how Amazon does it, or a better way to implement this data structure?

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• Best Data Structure For Time Series Data

  - by TriParkinson

  Hi all, I wonder if someone could take a minute out of their day to give their two cents on my problem. I would like some suggestions on what would be the best data structure for representing, on disk, a large data set of time series data. The main priority is speed of insertion, with other priorities in decreasing order; speed of retrieval, size on disk, size in memory, speed of removal. I have seen that B+ trees are often used in database because of their fast search times, but how about for fast insertion times? Is a linked list really the way to go? Thanks in advance for your time, Tri

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• Update tableview instantly as data pushed in core data iphone

  - by user336685

  I need to update the tableview as soon as the content is pushed in core data database. for this AppDelegate.m contains following code NSManagedObjectContext *moc = [self managedObjectContext]; NSFetchRequest *request = [[NSFetchRequest alloc] init]; [request setEntity:[NSEntityDescription entityForName:@"FeedItem" inManagedObjectContext:moc]]; //for loop // push data in code data & then save context [moc save:&error]; ZAssert(error == nil, @"Error saving context: %@", [error localizedDescription]); //for loop ends This code triggers following code from RootviewController.m - (void)controllerWillChangeContent:(NSFetchedResultsController*)controller { [[self tableView] beginUpdates]; } But this updates the tableview only at the end of the for loop ,the table does not get updated after immediate push in db. I tried following code but that didn't work - (void)controllerDidChangeContent:(NSFetchedResultsController *)controller { // In the simplest, most efficient, case, reload the table view. [self.tableView reloadData]; } I have been stuck with this problem for several days.Please help.Thanks in advance for solution.

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• Core Data data type for just the date - not including time

  - by Jason

  I am new at Core Data, and it seems like it is a great way to manage the data store. However I am also very memory-conscious due to the fact that the iPhone doesn't have that much of it. I was a little surprised to see that the data types are so limited - eg. there is a Date type which includes also the time, but no Date type for just the date! All the time information takes up precious bytes of memory, if I just wanted an attribute with the date (e.g. 2/15/2010 rather than 2/15/2010 02:34:48), how could I do this? Is it possible?

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• Getting Optimal Performance from Oracle E-Business Suite

  - by Steven Chan (Oracle Development)

  Performance tuning and optimization in E-Business Suite environments can involve many different components and diagnostic tools.  Samer Barakat, Senior Architect in our Applications Performance group, held an OpenWorld 2013 session that covered: Performance triage, analysis and diagnostic tools Optimizing the E-Business Suite application tier, including Concurrent Manager Optimizing the E-Business Suite database tier Optimizing the E-Business Suite on Real Application Clusters (RAC) E-Business Suite on engineered systems, including Exadata and Exalogic Optimizing E-Business Suite data management, including archiving and purging  The Applications Performance group works with the world's largest E-Business Suite customers to isolate and resolve performance bottlenecks. This team has helped tune the E-Business Suite environments of world's largest companies to handle staggering amounts of transactional volume in multi-terabyte databases.  This group also publishes our official Oracle Apps benchmarks, white papers, and performance metrics. This is an essential set of tips and techniques that all EBS sysadmins and DBAs can use to improve the performance of their environments: Getting Optimal Performance from Oracle E-Business Suite (PDF, 1.7 MB) OpenWorld 2013 presentations are only available for approximately six months -- until ~March 2013.  Download this one while it's still available. Related Articles E-Business Suite Technology Sessions at OpenWorld 2013 OAUG/Collaborate Recap: Best Practices for E-Business Suite Performance Tuning

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

  - by sarge

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

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• Performance variation

  - by Ree

  During my time spent working with multiple machines, I have noticed that performance of the same machine doing the same tasks in the same order differs and sometimes the difference is big enough to be noticeable. This applies to all the machines I've owned and/or maintained (old and modern). Some examples (many of them you may have noticed yourself) that sometimes are completed in different time frames: POST OS installation Hardware tests and operations (usually executed within a customized OS such as one of the many DOS variants), HDD tests and "low level" formats Software installation or other tasks (such as benchmarks) within a general purpose OS (Windows, Linux, etc) I can imagine this is caused by the fact that a machine is built with many components having to communicate as a whole and since the mechanical and electronic parts aren't perfect the overhead occurs. In the last example, I assume the OS complexity and concurrently running multiple processes has some additional effect as well. However, I'm wondering if this hardware imperfection and overhead is indeed that high to be humanly noticeable? Maybe there are other factors that are influencial as much or even more? So, in short - why? To emphasize: the difference is noticeable on the same machine performing the same tasks and this applies to ANY machine in my experience. I'm not comparing machine to machine performance.

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• Improving Performance of RDP Over LAN

  - by Jared Brown

  Architecture: A deployment of 6 new HP thin clients (Windows XP Embedded) with TCP/IP access to several new HP servers (Windows 2003 Server). Each thin client is connected over fiber optic to a Gigabit Cisco switch, which the servers are connected to. There are 10/100 Ethernet to fiber converter boxes on each end of the fiber cables. Problem: Noticeable lag over RDP while using the Unigraphics CAD package. 3D models take .5 to 1 second to respond to mouse actions. Other Details: Network throughput on each thin client's RDP session is 7288 kbps. RDP connection settings - color setting: 15k, all themes, etc. turned off. Local and remote system performance stats are well within norms (CPU, Memory, and Network). Question: Are there newer versions of terminal services or RDP I can use on my existing OSes? Are there compression algorithms, etc. that are well suited for a high-bandwidth LAN? Are there valid alternatives that will yield higher performance (i.e. UltraVNC with drivers installed)? Are there TCP/IP tuning options I can exploit?

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• Low CPU performance with low usage and clock - Windows 8.1

  - by Daniele

  I recently deleted everything from my PC and reinstalled Windows 8.1 from scratch. When I first booted into Windows everything was extremely slow though the CPU usage was very low (about 1%). After installing some drivers the problem seemed to be solved, I was able to use my PC normally. Today I installed a game and I noticed a strange behavior: the game was playable but the performance worsened more and more in the time. This is the situation BEFORE opening the game (normal): This is AFTER some minutes inside the game (low CPU usage and clock): Some information about my system: PC: Sony Vaio S13 (SVS13A1C5E) OS: Windows 8.1 CPU: Intel Core i7-3520M 2.90GHz GPU(1): Intel HD Graphics 4000 GPU(2): NVIDIA GeForce GT 640M LE I tried searching for new drivers and other solutions but noting worked and I don't know what is the cause. I did not checked the temperatures but the fans are not running fast and the PC does not look overheated. Update: Max CPU Temp: 66°C, Max GPU Temp: 61°C The strange thing is that the GPU load is 99% (GPU-Z) and the fan is almost silent. Update 2: I had troubles with Sony Vaio software, I can't get the FN keys and the STAMINA/SPEED switch to work (it is a physical switch to enable/disable the Nvidia card and change the Power Profile). I'm saying this because I remember that before reinstalling Windows there was an option in the Vaio Control Center (now it is not there anymore) that allowed me to choose from something like "priority to performance (ventilation)" or "priority to silence". The current behavior looks like a "priority to silence", but I can't get the stamina-speed switch to work and so I don't see similar oprions in the Vaio Control Center. I don't know if the problem is related to this.

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• Linux Kernel Packet Forwarding Performance

  - by Bob Somers

  I've been using a Linux box as a router for some time now. Nothing too fancy, just enabling forwarding in the kernel, turning on masquerading, and setting up iptables to poke a few holes in the firewall. Recently a friend of mine pointed out a performance problem. Single TCP connections seem to experience very poor performance. You have to open multiple parallel TCP connections to get decent speed. For example, I have a 10 Mbit internet connection. When I download a file from a known-fast source using something like the DownThemAll! extension for Firefox (which opens multiple parallel TCP connections) I can get it to max out my downstream bandwidth at around 1 MB/s. However, when I download the same file using the built-in download manager in Firefox (uses only a single TCP connection) it starts fast and the speed tanks until it tops out around 100 KB/s to 350 KB/s. I've checked the internal network and it doesn't seem to have any problems. Everything goes through a 100 Mbit switch. I've also run iperf both internally (from the router to my desktop) and externally (from my desktop to a Linux box I own out on the net) and haven't seen any problems. It tops out around 1 MB/s like it should. Speedtest.net also reports 10 Mbits speeds. The load on the Linux machine is around 0.00, 0.00, 0.00 all the time, and it's got plenty of free RAM. It's an older laptop with a Pentium M 1.6 GHz processor and 1 GB of RAM. The internal network is connected to the built in Intel NIC and the cable modem is connected to a Netgear FA511 32-bit PCMCIA network card. I think the problem is with the packet forwarding in the router, but I honestly am not sure where the problem could be. Is there anything that would substantially slow down a single TCP stream?

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• PHP/MySQL Performance Testing with Just PHP

  - by Mike Gifford

  I'm trying to diagnose a server where the website is loading very slowly, but unfortunately my client has only provided me with FTP access. I've got FTP access so I can upload PHP scripts, but can't set up any other server side tools. I have access to phpMyAdmin, but not direct access to the MySQL server. It is also unfortunately a Windows server (and we've been a Linux shop for over a decade now). So, if I wan to evaluate MySQL & disk speed performance through PHP on a generic server, what is the best way to do this? There are already tools like: https://github.com/raphaelm/php-benchmark or https://github.com/InfinitySoft/php-benchmark But I'm surprised there isn't something that someone has already set up & configured to just run through and do some basic testing of a server's responsiveness. Every time we evaluate a new server environment it's handy to be able to compare it to an existing one quickly to see if there are any anomalies. I guess I'd just hoped that someone else had written up a script to do this already. I know I have, but that was before Github when there was a handy place to post scraps of code like this. Originally posted in http://stackoverflow.com/questions/12321498/php-mysql-performance-testing-with-just-php but it was recommended that I re-post it here.

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• IIS High use & Server Performance issues

  - by HaydnWVN

  Have an SBS2011 running Exchange, a database app and a few other things serving 5 users (3 low use, 1 high). The server was never specced for the database app so it isn't as powerful as I'd like... Only 12GB RAM. We have increasingly found performance problems with this server, last week it was so bad I couldn't even connect remotely. To free up some available RAM I have (over the past month or so): Restricted the Exchange Message Store to 1GB with (so far) no ill effects. Restricted SQL Databases (including SBSMonitoring and Sharepoint/##SSEE (Which isn't used)). Now I am finding that IIS Worker threads are using up the available memory and I have (so far) been unable to track down much useful information about restricting them. This server is not 'serving' anything web-based apart from OWA that I am finding people using because Outlook is so slow (again related to the Servers performance). I am aware that Exchange on SBS2011 is designed to use up available resources (and concede when other applications request). But it is not doing so (or anywhere near fast enough) for our needs. Opening the database application (using Postgres) takes 5+ minutes from client machines and regularly times out or crashes due to this. After a reboot (before SQL/Exchange/IIS databases are very large/totally cached) we get the performace we need and expect. Previously a reboot once a month was enough... Then once a week... Now they have taken to rebooting it almost daily!

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• Very slow write performance on Debian 6.0 (AMD64) with DMCRYPT/LVM/RAID1

  - by jdelic

  I'm seeing very strange performance characteristics on one of my servers. This server is running a simple two-disk software-RAID1 setup with LVM spanning /dev/md0. One of the logical volumes /dev/vg0/secure is encrypted using dmcrypt with LUKS and mounted with the sync and noatimes flag. Writing to that volume is incredibly slow at 1.8 MB/s and the CPU usage stays near 0%. There are 8 crpyto/1-8 processes running (it's a Intel Quadcore CPU). I hope that someone on serverfault has seen this before :-(. uname -a 2.6.32-5-xen-amd64 #1 SMP Tue Mar 8 00:01:30 UTC 2011 x86_64 GNU/Linux Interestingly, when I read from the device I get good performance numbers: reading without encryption: $ dd if=/dev/vg0/secure of=/dev/null bs=64k count=100000 100000+0 records in 100000+0 records out 6553600000 bytes (6.6 GB) copied, 68.8951 s, 95.1 MB/s reading with encryption: $ dd if=/dev/mapper/secure of=/dev/null bs=64k count=100000 100000+0 records in 100000+0 records out 6553600000 bytes (6.6 GB) copied, 69.7116 s, 94.0 MB/s However, when I try to write to the device: $ dd if=/dev/zero of=./test bs=64k 8809+0 records in 8809+0 records out 577306624 bytes (577 MB) copied, 321.861 s, 1.8 MB/s Also, when I read I see CPU usage, when I write, the CPU stays at almost 0% usage. Here is output of cryptsetup luksDump: LUKS header information for /dev/vg0/secure Version: 1 Cipher name: aes Cipher mode: cbc-essiv:sha256 Hash spec: sha1 Payload offset: 2056 MK bits: 256 MK digest: dd 62 b9 a5 bf 6c ec 23 36 22 92 4c 39 f8 d6 5d c1 3a b7 37 MK salt: cc 2e b3 d9 fb e3 86 a1 bb ab eb 9d 65 df b3 dd d9 6b f4 49 de 8f 85 7d 3b 1c 90 83 5d b2 87 e2 MK iterations: 44500 UUID: a7c9af61-d9f0-4d3f-b422-dddf16250c33 Key Slot 0: ENABLED Iterations: 178282 Salt: 60 24 cb be 5c 51 9f b4 85 64 3d f8 07 22 54 d4 1a 5f 4c bc 4b 82 76 48 d8 a2 d2 6a ee 13 d7 5d Key material offset: 8 AF stripes: 4000 Key Slot 1: DISABLED Key Slot 2: DISABLED Key Slot 3: DISABLED Key Slot 4: DISABLED Key Slot 5: DISABLED Key Slot 6: DISABLED Key Slot 7: DISABLED

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• How to configure VirtualBox server for performance at home

  - by BluJai

  I currently have two physical Ubuntu Server 10.10 servers at home: one serves as our firewall/router/DHCP/VPN server and the other performs double-duty as a file server and a VirtualBox host for an Ubuntu Desktop 10.10 machine which I use from remote connections (via NoMachine) for many thin-client purposes which are irrelevant to my question. What I'd like to accomplish is to consolidate the two physical machines into one which is a dedicated VirtualBox host (most likely running Ubuntu Server 10.10). Note that I'd like to stick with VirtualBox (if possible) because I'm most comfortable with it and use it on a daily basis at both home and work. Specifically, I plan to have one VM set up as file server, another as the firewall/router/DHCP/VPN (or possibly split those a bit) and a third, which is the only current VM (already VirtualBox), which is the thin-client host. My question comes down to performance and/or recommendations about the file server VM. The file server hosts about 6 terabytes of data across 4 drives. What I'd like to do is use raw disk access from the VM directly to the existing disks. However, I'm curious what performance advantage/disadvantage that would have as compared to using shared folders from the VM host and basically just have the whole drive served as a shared folder to the VM which would then serve it to the other machines on the network. I don't know if virtual disks would even work in this scenario and I certainly wouldn't want a drive to be filled with just a single file which is 1.5 TB (disk image). To add understanding of context, but not to get additional advice, I want to virtualize these machines because I intend to regularly use the snapshot capabilities of VirtualBox for the system disks (which will be virtual drives) of the VMs and I have some physical space/power needs to address (as I mentioned, this is at home).

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• Slow performance on VMWare Linux server after Tomcat install

  - by Loftx

  We have a VMWare ESXi 4.1 server hosting a number of Linux and Windows guests. Recently a new Linux guest was added to this server and seemed to be performing well. Tomcat and some other applications on this server were then installed which seem to have caused the server to run really slowly without any obvious resource issues. Slow performance include: The time taken to bring up the password prompt over ssh takes a few seconds when it was previously instantaneous. The time taken to unzip a zip file which was previously a few seconds now takes around 30 seconds The time taken to compile vmware tools has increased by similar factors Both the VMWare console and monitoring commands don't report any issues with high CPU or memory usage but something is obviously slowing the server down somehow. Does anyone have any ideas what may be causing this issue and how it can be resolved? Thanks, Tom Edit As per your questions I’ve looked at some of the performance indicators on both the VM host and VM guest indicated. Firstly I tried reserving the full amount of memory (3gb) for this VM – no other machines on this server have any memory reservation. The swap in rate and swap out rate for the VM host and guest are now both zero. Balloon memory on the guest is zero and on the host is 3.5gb (total memory on the host is 12gb) The swap rate for the guest is also zero. Swap used by the host is 200mb on average. Compression and decompression rates for the host and guest are zero. Command aborts for the host are zero. Read latency is very low – maximum 10ms average 0.8ms. Write latency is higher – a few spikes to 170ms but mostly around 25ms – is this bad? Queue command latency is zero . Physical disk read latency averages 5ms but often 10ms Physical disk write latency averages 15ms but is often 20ms I hope this helps - let me know if you need any more information.

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• Windows 7 network performance tuning for LAN

  - by Hubert Kario

  I want to tune Windows 7 TCP stack for speed in a LAN environment. Bit of background info: I've got a Citrix XenServer set up with Windows 2008R2, Windows 7 and Debian Lenny with Citrix kernel, Windows machines have Tools installed the iperf server process is running on different host, also Debian Lenny. The servers are otherwise idle, tests were repeated few times to confirm results. While testing with iperf 2008R2 can achieve around 600-700Mbps with no tuning what so ever but I can't find any guide or set of parameters that will make Windows 7 achieve anything over 150Mbps with no change in TCP window size using -w parameter to iperf. I tried using netsh autotuining to disabled, experimental, normal and highlyrestricted - no change. Changing congestionprovider doesn't do anything, just as rss and chimney. Setting all the available settings to same values as on Windows 2008R2 host doesn't help. To summarize: Windows 2008R2 default settings: 600-700Mbps Debian, default settings: 600Mbps Windows 7 default settings: 120Mbps Windows 7 default, iperf -w 65536: 400-500Mbps While the missing 400Mbps in performance I blame on crappy Realtek NIC in the XenServer host (I can do ~980Mbps from my laptop to the iperf server) it doesn't explain why Windows 7 can't achieve good performance without manually tuning window size at the application level. So, how to tune Windows 7?

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• How to configure VirtualBox server for performance at home

  - by BluJai

  I currently have two physical Ubuntu Server 10.10 servers at home: one serves as our firewall/router/DHCP/VPN server and the other performs double-duty as a file server and a VirtualBox host for an Ubuntu Desktop 10.10 machine which I use from remote connections (via NoMachine) for many thin-client purposes which are irrelevant to my question. What I'd like to accomplish is to consolidate the two physical machines into one which is a dedicated VirtualBox host (most likely running Ubuntu Server 10.10). Note that I'd like to stick with VirtualBox (if possible) because I'm most comfortable with it and use it on a daily basis at both home and work. Specifically, I plan to have one VM set up as file server, another as the firewall/router/DHCP/VPN (or possibly split those a bit) and a third, which is the only current VM (already VirtualBox), which is the thin-client host. My question comes down to performance and/or recommendations about the file server VM. The file server hosts about 6 terabytes of data across 4 drives. What I'd like to do is use raw disk access from the VM directly to the existing disks. However, I'm curious what performance advantage/disadvantage that would have as compared to using shared folders from the VM host and basically just have the whole drive served as a shared folder to the VM which would then serve it to the other machines on the network. I don't know if virtual disks would even work in this scenario and I certainly wouldn't want a drive to be filled with just a single file which is 1.5 TB (disk image). To add understanding of context, but not to get additional advice, I want to virtualize these machines because I intend to regularly use the snapshot capabilities of VirtualBox for the system disks (which will be virtual drives) of the VMs and I have some physical space/power needs to address (as I mentioned, this is at home).

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• graphics performance better on battery?

  - by Scott Beeson

  Anyone have any idea why my laptop would perform (considerably) better while on battery than while plugged in? It's a Dell Latitude E6420 with Windows 8 Pro. I tried mirroring all the settings in the selected power plan from "On battery" to "Plugged In" and that didn't help. I then just restored the defaults for all power plans (balanced and high performance). I'm still seeing the same results. The best example where it is most noticeable (don't laugh) is Sim City Social in Chrome. I'm probably seeing a performance increase of 5x on battery versus plugged in. This is easily reproducible too. I'm very confused. Could it be caused by dust? The laptop isn't that old and there is no visible dust. I'm not going to take it apart to check the insides as it's a corporate laptop. Could it be overheating? Battery Sim City Social: 68 degrees max Civ V: 77 degrees max Charger Sim City Social: 68 Civ V: did not test See answer below... I'm retarded

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• Difference in performance: local machine VS amazon medium instance

  - by user644745

  I see a drastic difference in performance matrix when i run it with apache benchmark (ab) in my local machine VS production hosted in amazon medium instance. Same concurrent requests (5) and same total number of requests (111) has been run against both. Amazon has better memory than my local machine. But there are 2 CPUs in my local machine vs 1 CPU in m1.medium. My internet speed is very low at the moment, I am getting Transfer rate as 25.29KBps. How can I improve the performance ? Do not know how to interpret Connect, Processing, Waiting and total in ab output. Here is Localhost: Server Hostname: localhost Server Port: 9999 Document Path: / Document Length: 7631 bytes Concurrency Level: 5 Time taken for tests: 1.424 seconds Complete requests: 111 Failed requests: 102 (Connect: 0, Receive: 0, Length: 102, Exceptions: 0) Write errors: 0 Total transferred: 860808 bytes HTML transferred: 847155 bytes Requests per second: 77.95 [#/sec] (mean) Time per request: 64.148 [ms] (mean) Time per request: 12.830 [ms] (mean, across all concurrent requests) Transfer rate: 590.30 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 0 0 0.5 0 1 Processing: 14 63 99.9 43 562 Waiting: 14 60 96.7 39 560 Total: 14 63 99.9 43 563 And this is production: Document Path: / Document Length: 7783 bytes Concurrency Level: 5 Time taken for tests: 33.883 seconds Complete requests: 111 Failed requests: 0 Write errors: 0 Total transferred: 877566 bytes HTML transferred: 863913 bytes Requests per second: 3.28 [#/sec] (mean) Time per request: 1526.258 [ms] (mean) Time per request: 305.252 [ms] (mean, across all concurrent requests) Transfer rate: 25.29 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 290 297 14.0 293 413 Processing: 897 1178 63.4 1176 1391 Waiting: 296 606 135.6 588 1171 Total: 1191 1475 66.0 1471 1684

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• Performance associated with storing millions of files on NTFS

  - by Tim Brigham

  Does anyone have a method / formula, etc that I could use - hopefully based on both current and projected numbers of files - to project the 'right' length of the split and the number of nested folders? Please note that although similar it isn't quite the same as Storing a million images in the filesystem. I'm looking for a way to help make the theories outlined more generic. Assumptions I have 'some' initial number of files. This number would be arbitrary but large. Say 500k to 10m+. I have considered the underlying physical hardware disk IO requirements that would be necessary to support such an endeavor. Put another way As time progresses this store will grow. I want to have the best balance of current performance and as my needs increase. Say I double or triple my storage. I need to be able to address both current needs and projected future growth. I need to both plan ahead and not sacrifice too much of current performance. What I've come up with I'm already thinking about using a hash split every so many characters to split things out across multiple directories and keeping the trees even, very similar as outlined in the comments in the question above. It also avoids duplicate files, which would be critical over time. I'm sure that the initial folder structure would be different based on what I've outlined, and depending on the initial scale. As far as I can figure there isn't a one size fits all solution here. It would be horrendously time intensive to work something out experimentally.

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