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  • java + increasing performance and scalability

    - by varun
    Hi, below is the a code snippet, which returns the object of a class. now the object is basially comparing to some parameter in loop. my concern is what if there are thousands of objects in loop, in that case performance and scalability can be an issue. please suggest how to improve this code for performance part public Widget get(String name,int major,int minor,boolean exact) { Widget widgetToReturn = null; if(exact) { Widget w = new Widget(name, major, minor); // for loop using JDK 1.5 version for(Widget wid : set) { if((w.getName().equals(wid.getName())) && (wid.getVersion()).equals(w.getVersion())) { widgetToReturn = w; break; } } } else { Widget w = new Widget(name, major, minor); WidgetVersion widgetVersion = new WidgetVersion(major, minor); // for loop using JDK 1.5 version for(Widget wid : set) { WidgetVersion wv = wid.getVersion(); if((w.getName().equals(wid.getName())) && major == wv.getMajor() && WidgetVersion.isCompatibleAndNewer(wv, widgetVersion)) { widgetToReturn = wid; } else if((w.getName().equals(wid.getName())) && wv.equals(widgetVersion.getMajor(), widgetVersion.getMinor())) { widgetToReturn = w; } } } return widgetToReturn; }

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  • Network load balancing, efficience and limits?

    - by Vimvq1987
    I'm about to study about NLB on Windows Server 2003. It archives both of my interests now: scalability and high-availability. But I don't know about its power in production environment. Is NLB a efficient solution? How does it implement in real-world? Is it popular? What are its limit? Thank you so much for answering my questions. :)

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  • Scability of .NET webservices

    - by Mmarquee
    Can anyone help me with a question about webservices and scalability? I have written a webservice as a facade into our document management system and need to think about scalability issues. What areas should I be looking at to ensure performance and availability? Thanks in advance

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  • best practice with memcache/php - multi memcache nodes

    - by user62835
    So I am working on a web app - that has to be built for scalability. It stores frequent MySQL querys into the cache. I have pretty much everything built and ready to go - but I am concerned on best practices on handling where to cache the data. I've talked to a few people and one of them suggested to split each key/value across all the memcache nodes. Meaning if i store the example: 'somekey','this is the value' it will be split across lets say 3 memcache servers. Is that a better way? or is memcache more built on a 1 to 1 relationship?. For example. store value on server A till it faults out - go to server B and store there. that is my current understanding from the research I have done and past experience working with memcache. Could someone please point me in the right direction in this and let me know which way is best or if I completely have this mixxed up. Thanks

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  • How do I reduce RAM usage on my server?

    - by Abs
    I have recently launched a site that is very popular but I am having trouble with scalability. My site makes heavy use of FFmpeg and at peak times RAM usage hits the 2 GB point quickly and the swap file starts getting used. CPU usage starts rising too. Users complain that the site is slow. They say this because all FFmpeg instances run very slow because of the number running at the same time. Users make use of FFmpeg on my server in real time. Is there anything I can consider or do to ease down the usage of the server and RAM just shooting up? Maybe there is something better than FFmpeg (!). Is the only solution "throwing some cash" at a more powerful server? I have given little information, please ask for more, so this problem can be solved.

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  • Openfire scalability question XMPP Server

    - by candoyo
    Hello! Do you guys know how well openfire scales? My users will be using the application to do normal chatting like msn no file transfer for now. We will be using Amazon's EC2 server to run the chat server we would like to support over 1 Million users in total and around 30-50K active users during peak times. Since clustering is now opensource, I though Openfire might be the way to go, how much will it cost for the coherence license or can I bipass that somehow? Also, I wanted to develop plugin for Openfire if we go with it. Any pointers on how to set up a dev env and get going would be helpful too! Thanks ya'all! :)

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  • Scalability comparison between different DBMSs

    - by Björn Lindfors
    By what factor does the performance (read queries/sec) increase when a machine is added to a cluster of machines running either: a Bigtable-like database MySQL? Google's research paper on Bigtable suggests that "near-linear" scaling is achieved can be achieved with Bigtable. This page here featuring MySQL's marketing jargon suggests that MySQL is capable of scaling linearly. Where is the truth?

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  • Azure scalability over XML File

    - by dayscott
    What is the best practise solution for programmaticaly changing the XML file where the number of instances are definied ? I know that this is somehow possible with this csmanage.exe for the Windows Azure API. How can i measure which Worker Role VMs are actually working? I asked this question on MSDN Community forums as well: http://social.msdn.microsoft.com/Forums/en-US/windowsazure/thread/02ae7321-11df-45a7-95d1-bfea402c5db1

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  • Why are joins bad when considering scalability?

    - by acidzombie24
    Why are joins bad or 'slow'. I know i heard this more then once. I found this quote The problem is joins are relatively slow, especially over very large data sets, and if they are slow your website is slow. It takes a long time to get all those separate bits of information off disk and put them all together again. source I always thought they were fast especially when looking up a PK. Why are they 'slow'?

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  • MS Access questions - Scalability / indexing / transactions

    - by oo
    A few questions on MS Access databases - Size: Are there limits to the size of an access database? The reason i ask is that we have an access database that has a few simple tables. The size of the db is about 1GB. When I do a query on it, i see it taking over 10 minutes to run. With proper indexing, should MS Access be able to handle this or are there fundamental limitations to the technology. This is MS Access XP. Also, does MS Access support db transactions, commit and rollback?

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  • Database security / scaling question

    - by orokusaki
    Typically I use a database such as MySQL or PostGreSQL on the same machine as the application using it, which makes access easy and secure. I'm just now building the first site that will have a separate physical database server (later this year it will). I'm wondering 3 things: (security) What things should I look into for starters pertaining to security of accessing a separate machine's database? (scalability) Are their scalability issues that I should think about pertaining to this (technology agnostic)? (more ServerFaultish but related) If starting the DB out on the same physical server (using a separate VMWare VM) and later moving to a different physical server, are there implicit problems that I'll have to deal with? Isn't another VM still accessed via localhost? If these questions are completely ludicrous, I apologize to you DB experts.

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  • 'e-Commerce' scalable database model

    - by Ruben Trancoso
    I would like to understand database scalability so I've just heard a talk about Habits of Highly Scalable Web Applications http://techportal.ibuildings.com/2010/03/02/habits-of-highly-scalable-web-applications/ On it, the presenter mainly talk about relational database scalability. I also have read something about MapReduce and Column oriented tables, big tables, hypertable etc... trying to understand which are the most up to date methods to scale web application data. But the second group, to me, is being hard to understand where it fits. It serves as transactional, reliable data store? or not, its just for large access and processing and to handle fine graned operations we will ever need to rely on RDBMSs? Could someone give a comprehensive landscape for those new technologies and how to use it?

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  • What are some best practices for making sure your .NET code will scale well?

    - by billmaya
    Last week I interviewed for a position at a TripleA MMORPG game company here in NE. I didn't get the job but one of the areas that came up during the interview was the about the scalability of the code that you write and how it should be considered early on in the design of your architecture and classes. Sadly to say I've never thought very much about the scalability of the .NET code that I've written (I work with single user desktop and mobile applications and our major concerns are usually with device memory and rates of data transmission). I'm interested in learning more about writing code that scales up well so it can handle a wide range of remote users in a client server environment, specifically MMORPGs. Are there any books, web sites, best practices, etc. that could get me started researching this topic?

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  • Is make -j distcc possible to scale over 5 times?

    - by holmes
    Since distcc cannot keep states and just possible to send jobs and headers and let those servers to use only the data just sent and preprocess and compile, I think the lastest distcc has problem in scalability. In my local build environment which has appx. 10,000 c/c++ files to build, I could only make 2 times faster than not using distcc (but using make -j) when having 20 build servers. What do you think is the problem? If anyone has achieved scalability more than 10 - 20 times using make -j and distcc, please let me know. The following product claims that it is impossible to scale make -j and distcc faster than 5 times. http://www.electric-cloud.com/products/electricaccelerator.php I think this can be improved by: Letting the distccd server to maintain sessions Tied to those sessions, they will cache their own header directories Preprocess will be done demand base from the distccd server This will be done through a LD_PRELOADed library libdistcc.so which will replace stat/open syscalls and fetches the header files over network. ... Has anyone done this kind of thing?

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  • postgreSQL vs Cassandra vs MongoDB vs Voldemart ?

    - by ramonrails
    Which database to decide upon? Any comparisions? Existing: postgresql Issues Not easily scalable horizontal. Needs sharding etc Clustering does not solve the data growth problem Looking for: Any database that is easily horizontally scalable Cassandra (Twitter uses that?) MongoDB (rapidly gaining popularity) Voldemart Other? Why? Data growing with snowball effect existing postgresql locks table etc for vaccuum tasks periodically Archiving data is tideous currently Human interaction involved in existing archive, vaccuum, ... process periodically Need a 'set it. forget it. just add another server when data grows more.' type of solution

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  • COM+/Desktop Heap errors in IIS affecting sites at random?

    - by tresstylez
    We have a Win2K3 server that is hosting 30+ sites. Each site is configured to have its own unique application pool -- so that we can manually recycle specific sites if needed and not kill sessions for the others. From what I've read, the consequence of this type of setup is that each application pool worker process gets allocated a Desktop Heap (normally 512 kb's) and we limit the number of app pools we can serve. http://blogs.msdn.com/b/david.wang/archive/2006/01/25/security-considerations-of-usesharedwpdesktop-on-iis6.aspx PROBLEM: What we're seeing is that occasionally COM+ errors get triggered, presumably by hitting our 512 kb limit of the desktop heap -- and certain sites become unresponsive (or have errors) until we manually recycle that specific app pool. I know that I can increase the desktop heap limit to 1024, and make other tweaks/tunes, but I've been tasked with finding out what exactly causes one site's heap to max out as opposed to another. It seems that when we start seeing COM+ errors, the sites it affects are random -- small sites or big sites (heavier used). Is it based on process id? Traffic? Any pointers on understanding this a little more would be excellent. Thanks! jg

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  • What is optimal hardware configuration for heavy load LAMP application

    - by Piotr K.
    I need to run Linux-Apache-PHP-MySQL application (Moodle e-learning platform) for a large number of concurrent users - I am aiming 5000 users. By concurrent I mean that 5000 people should be able to work with the application at the same time. "Work" means not only do database reads but writes as well. The application is not very typical, since it is doing a lot of inserts/updates on the database, so caching techniques are not helping to much. We are using InnoDB storage engine. In addition application is not written with performance in mind. For instance one Apache thread usually occupies about 30-50 MB of RAM. I would be greatful for information what hardware is needed to build scalable configuration that is able to handle this kind of load. We are using right now two HP DLG 380 with two 4 core processors which are able to handle much lower load (typically 300-500 concurrent users). Is it reasonable to invest in this kind of boxes and build cluster using them or is it better to go with some more high-end hardware? I am particularly curious how many and how powerful servers are needed (number of processors/cores, size of RAM) what network equipment should be used (what kind of switches, network cards) any other hardware, like particular disc storage solutions, etc, that are needed Another thing is how to put together everything, that is what is the most optimal architecture. Clustering with MySQL is rather hard (people are complaining about MySQL Cluster, even here on Stackoverflow).

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  • How should I host a site that could potentially get a short spike in traffic of 1000%+

    - by James Simpson
    This is a purely theoretical question, but what if I had a site that would normally only get a couple thousand hits a day, but for a few days each month that could shoot to several hundred thousand or even several million hits over the period of 1-3 days. The site would be pretty bare-bones (as in, 2-3 total pages with 1-2 max MySQL queries on each page and some PHP), so bandwidth wouldn't be the issue, but sheer volume taking down the site would be the main concern. Cloud hosting seems like the best way to go, but would something like Amazon EC2, MediaTemple, or something else be the right choice in this case?

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  • Good Books About Scaling Up Databases/Servers/etc.?

    - by Mehrdad
    I've applied for an internship at a startup company that expects its user base to grow by a large factor in a small amount of time, and so part of their project is to scale everything up so that they're ready: handling more/larger requests efficiently, handling server failures, load balancing, getting more JavaScript to run faster on the client computers, etc. Part of my job will also be figuring out what to do, so it's not obvious what my exact task will be at the moment. I was told that I should start reading up a little more about this so that I would have a little bit of an idea of what to do. What are some good books for me to read on this topic? I have a little bit of experience with the usage of MySQL (and also a little experience with web development), but in no way do I claim any knowledge on the internal workings of databases or distributed systems, so I might need readings more on the introductory side.

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  • Is it possible to rate limit based on host headers? i.e. not just on ip address

    - by Blankman
    I have a web service endpoint that I am building where people will post an xml file to, and it will really get pounded with over 1K requests per second. Now they are sending in these xml files via http post, but a good majority of them will be rate limited. The problem is, the rate limiting will be done by the web application by looking up the source_id in the xml, and if it is over x requests per minute, it will not be processed further. I was wondering if I could do rate limit checking earlier in the processing somehow and thus save the 50K file going threw the pipeline to my web servers and eating up resources. Could a load balancer make a call out to verify rate usage somehow? If this is possible, I could maybe put the source_id in a host header so even the XML file doesn't have to be parsed and loaded into memory. Is it possible to just look at host headers and not load up the entire 50K xml file into memory? I really appreciate your insights as this takes more knowledge of the entire tcp/ip stack etc.

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  • Memcached server: Is it a good practice to point two server urls to the same server?

    - by Niro
    I have a system where there are connections to a memcache server from several different files and servers. I would like to stay with one server but keep the option of increasing the number of memcache servers (for periods of of high traffic). My idea is to tell memcache there are two servers, while the two urls will point (by DNS) to a single server. In the future if I want I can add a server and change DNS without changing the code in many places. Is this a good practice? Is there a performance cost to the fact that there are two server connections but they both point to the same server? Any other idea how to achive instant expeandability of memcache capacity without need to change the code and deploy ?

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  • Predictive vs Least Connection Load Balancing Techniques

    - by Mani
    I have a windows based desktop application that communicates via TCP to the application servers. (windows 2003). No sticky sessions between client calls. We have exactly 2 servers to load balance and we are thinking to use a F5 hardware NLB. The application is a heavy load types, doing not much bussiness logic in the services but retrieving quite a big amount of data at most of the times. May be on an average 5000 to 10000 records at all times. Used mainly for storing and retirieving data and no special processing of data or calculations running on the server side. I am favouring 'predictive' considering my services take a while at times to return data and hence tracking the feedback would yield some better routing as in predictive. I am not sure if the given data is sufficient enough to suggest some ideas but considering these, what would be some suggestions\things to consider\best between Predictive and Least Connections ? Thanks.

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  • Memcached Lagging

    - by Brad Dwyer
    Let me preface this by saying that this is a followup question to this topic. That was "solved" by switching from Solaris (SmartOS) to Ubuntu for the memcached server. Now we've multiplied load by about 5x and are running into problems again. We are running a site that is doing about 1000 requests/minute, each request hits Memcached with approximately 3 reads and 1 write. So load is approximately 65 requests per second. Total data in the cache is about 37M, and each key contains a very small amount of data (a JSON-encoded array of integers amounting to less than 1K). We have setup a benchmarking script on these pages and fed the data into StatsD for logging. The problem is that there are spikes where Memcached takes a very long time to respond. These do not appear to correlate with spikes in traffic. What could be causing these spikes? Why would memcached take over a second to reply? We just booted up a second server to put in the pool and it didn't make any noticeable difference in the frequency or severity of the spikes. This is the output of getStats() on the servers: Array ( [-----------] => Array ( [pid] => 1364 [uptime] => 3715684 [threads] => 4 [time] => 1336596719 [pointer_size] => 64 [rusage_user_seconds] => 7924 [rusage_user_microseconds] => 170000 [rusage_system_seconds] => 187214 [rusage_system_microseconds] => 190000 [curr_items] => 12578 [total_items] => 53516300 [limit_maxbytes] => 943718400 [curr_connections] => 14 [total_connections] => 72550117 [connection_structures] => 165 [bytes] => 2616068 [cmd_get] => 450388258 [cmd_set] => 53493365 [get_hits] => 450388258 [get_misses] => 2244297 [evictions] => 0 [bytes_read] => 2138744916 [bytes_written] => 745275216 [version] => 1.4.2 ) [-----------:11211] => Array ( [pid] => 8099 [uptime] => 4687 [threads] => 4 [time] => 1336596719 [pointer_size] => 64 [rusage_user_seconds] => 7 [rusage_user_microseconds] => 170000 [rusage_system_seconds] => 290 [rusage_system_microseconds] => 990000 [curr_items] => 2384 [total_items] => 225964 [limit_maxbytes] => 943718400 [curr_connections] => 7 [total_connections] => 588097 [connection_structures] => 91 [bytes] => 562641 [cmd_get] => 1012562 [cmd_set] => 225778 [get_hits] => 1012562 [get_misses] => 125161 [evictions] => 0 [bytes_read] => 91270698 [bytes_written] => 350071516 [version] => 1.4.2 ) ) Edit: Here is the result of a set and retrieve of 10,000 values. Normal: Stored 10000 values in 5.6118 seconds. Average: 0.0006 High: 0.1958 Low: 0.0003 Fetched 10000 values in 5.1215 seconds. Average: 0.0005 High: 0.0141 Low: 0.0003 When Spiking: Stored 10000 values in 16.5074 seconds. Average: 0.0017 High: 0.9288 Low: 0.0003 Fetched 10000 values in 19.8771 seconds. Average: 0.0020 High: 0.9478 Low: 0.0003

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  • Implications of using many USB web cameras

    - by Martin
    I'm looking into connecting multiple low resolution USB webcams to a single computer. What implications might this have on performance? How does, for example, four 320x240 cameras fare against a single 640x480 camera? I'm not well versed in the architecture of the USB interface, what are the performance caveats? By performance I mean how would it affect the time to read the image data from multiple cameras compared to a single one.

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