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  • Distributed Lock Service over MySql/GigaSpaces/Netapp

    - by ripper234
    Disclaimer: I already asked this question, but without the deployment requirement. I got an answer that got 3 upvotes, and when I edited the question to include the deployment requirement the answer then became irrelevant. The reason I'm resubmitting is because SO considers the original question 'answered', even though I got no meaningful upvoted answer. I opened a uservoice submission about this problem. The reason I reposted is so StackOverflow consider the original question answered, so it doesn't show up on the 'unanswered questions' tab. Which distributed lock service would you use? Requirements are: A mutual exclusion (lock) that can be seen from different processes/machines lock...release semantics Automatic lock release after a certain timeout - if lock holder dies, it will automatically be freed after X seconds Java implementation Easy deployment - must not require complicated deployment beyond either Netapp, MySql or GigaSpaces. Must play well with those products (especially GigaSpaces - this is why TerraCotta was ruled out). Nice to have: .Net implementation If it's free: Deadlock detection / mitigation I'm not interested in answers like "it can be done over a database", or "it can be done over JavaSpaces" - I know. Relevant answers should only contain a ready, out-of-the-box, proven implementation.

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  • What would you recommend for a large-scale Java data grid technology: Terracotta, GigaSpaces, Cohere

    - by cliff.meyers
    I've been reading up on so-called "data grid" solutions for the Java platform including Terracotta, GigaSpaces and Coherence. I was wondering if anyone has real-world experience working any of these tools and could share their experience. I'm also really curious to know what scale of deployment people have worked with: are we talking 2-4 node clusters or have you worked with anything significantly larger than that? I'm attracted to Terracotta because of its "drop in" support for Hibernate and Spring, both of which we use heavily. I also like the idea of how it decorates bytecode based on configuration and doesn't require you to program against a "grid API." I'm not aware of any advantages to tools which use the approach of an explicit API but would love to hear about them if they do in fact exist. :) I've also spent time reading about memcached but am more interested in hearing feedback on these three specific solutions. I would be curious to hear how they measure up against memcached in the event someone has used both.

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  • Placement of Variables in Puppet module

    - by Michael Duffy
    Hi guys; I've got a puppet module to setup several Gigaspaces PU's. Each of these have quite a few variables to be placed within the configuration file templates. We're also using several different environments so these variables are repeated several times to contain the values for each environment. My question is where the best place to store these variables would be? A class of their own, an external .pp I import, or something other?

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  • Why isn't DSM for unstructured memory done today?

    - by sinned
    Ages ago, Djikstra invented IPC through mutexes which then somehow led to shared memory (SHM) in multics (which afaik had the necessary mmap first). Then computer networks came up and DSM (distributed SHM) was invented for IPC between computers. So DSM is basically a not prestructured memory region (like a SHM) that magically get's synchronized between computers without the applications programmer taking action. Implementations include Treadmarks (inofficially dead now) and CRL. But then someone thought this is not the right way to do it and invented Linda & tuplespaces. Current implementations include JavaSpaces and GigaSpaces. Here, you have to structure your data into tuples. Other ways to achieve similar effects may be the use of a relational database or a key-value-store like RIAK. Although someone might argue, I don't consider them as DSM since there is no coherent memory region where you can put data structures in as you like but have to structure your data which can be hard if it is continuous and administration like locking can not be done for hard coded parts (=tuples, ...). Why is there no DSM implementation today or am I just unable to find one?

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  • Space-based architecture?

    - by rcampbell
    One chapter in Pragmatic Programmer recommends looking at a blackboard/space-based architecture + a rules engine as a more flexible alternative to a traditional workflow system. The project I'm working on currently uses a workflow engine, but I'd like to evaluate alternatives. I really feel like a SBA would be a better solution to our business problems, but I'm worried about a total lack of community support/user base/venders/options. JavaSpaces is dead, and the JINI spin-off Apache River seems to be on life support. SemiSpace looks perfect, but it's a one-man show. The only viable solution seems to be GigaSpaces. I'd like to hear your thoughts on space based architecture and any experiences you've had with real world implementations.

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  • hibernate distributed 2nd level cache options

    - by ishmeister
    Not really a question but I'm looking for comments/suggestions from anyone who has experiences using one or more of the following: EhCache with RMI EhCache with JGroups EhCache with Terracotta Gigaspaces Data Grid A bit of background: our applications is read only for the most part but there is some user data that is read-write and some that is only written (and can also be reasonably inaccurate). In addition, it would be nice to have tools that enable us to flush and fill the cache at intervals or by admin intervention. Regarding the first option - are there any concerns about the overhead of RMI and performance of Java serialization?

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  • Java Resources for Windows Azure

    - by BuckWoody
    Windows Azure is a Platform as a Service – a PaaS – that runs code you write. That code doesn’t just mean the languages on the .NET platform – you can run code from multiple languages, including Java. In fact, you can develop for Windows and SQL Azure using not only Visual Studio but the Eclipse Integrated Development Environment (IDE) as well.  Although not an exhaustive list, here are several links that deal with Java and Windows Azure: Resource Link Windows Azure Java Development Center http://www.windowsazure.com/en-us/develop/java/  Java Development Guidance http://msdn.microsoft.com/en-us/library/hh690943(VS.103).aspx  Running a Java Environment on Windows Azure http://blogs.technet.com/b/port25/archive/2010/10/28/running-a-java-environment-on-windows-azure.aspx  Running a Java Environment on Windows Azure http://blogs.technet.com/b/port25/archive/2010/10/28/running-a-java-environment-on-windows-azure.aspx  Run Java with Jetty in Windows Azure http://blogs.msdn.com/b/dachou/archive/2010/03/21/run-java-with-jetty-in-windows-azure.aspx  Using the plugin for Eclipse http://blogs.msdn.com/b/craig/archive/2011/03/22/new-plugin-for-eclipse-to-get-java-developers-off-the-ground-with-windows-azure.aspx  Run Java with GlassFish in Windows Azure http://blogs.msdn.com/b/dachou/archive/2011/01/17/run-java-with-glassfish-in-windows-azure.aspx  Improving experience for Java developers with Windows  Azure http://blogs.msdn.com/b/interoperability/archive/2011/02/23/improving-experience-for-java-developers-with-windows-azure.aspx  Java Access to SQL Azure via the JDBC Driver for SQL  Server http://blogs.msdn.com/b/brian_swan/archive/2011/03/29/java-access-to-sql-azure-via-the-jdbc-driver-for-sql-server.aspx  How to Get Started with Java, Tomcat on Windows Azure http://blogs.msdn.com/b/usisvde/archive/2011/03/04/how-to-get-started-with-java-tomcat-on-windows-azure.aspx  Deploying Java Applications in Azure http://blogs.msdn.com/b/mariok/archive/2011/01/05/deploying-java-applications-in-azure.aspx  Using the Windows Azure Storage Explorer in Eclipse http://blogs.msdn.com/b/brian_swan/archive/2011/01/11/using-the-windows-azure-storage-explorer-in-eclipse.aspx  Windows Azure Tomcat Solution Accelerator http://archive.msdn.microsoft.com/winazuretomcat  Deploying a Java application to Windows Azure with  Command-line Ant http://java.interoperabilitybridges.com/articles/deploying-a-java-application-to-windows-azure-with-command-line-ant  Video: Open in the Cloud: Windows Azure and Java http://channel9.msdn.com/Events/PDC/PDC10/CS10  AzureRunMe  http://azurerunme.codeplex.com/  Windows Azure SDK for Java http://www.interoperabilitybridges.com/projects/windows-azure-sdk-for-java  AppFabric SDK for Java http://www.interoperabilitybridges.com/projects/azure-java-sdk-for-net-services  Information Cards for Java http://www.interoperabilitybridges.com/projects/information-card-for-java  Apache Stonehenge http://www.interoperabilitybridges.com/projects/apache-stonehenge  Channel 9 Case Study on Java and Windows Azure http://www.microsoft.com/casestudies/Windows-Azure/Gigaspaces/Solution-Provider-Streamlines-Java-Application-Deployment-in-the-Cloud/400000000081   

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  • Java Resources for Windows Azure

    - by BuckWoody
    Windows Azure is a Platform as a Service – a PaaS – that runs code you write. That code doesn’t just mean the languages on the .NET platform – you can run code from multiple languages, including Java. In fact, you can develop for Windows and SQL Azure using not only Visual Studio but the Eclipse Integrated Development Environment (IDE) as well.  Although not an exhaustive list, here are several links that deal with Java and Windows Azure: Resource Link Windows Azure Java Development Center http://www.windowsazure.com/en-us/develop/java/  Java Development Guidance http://msdn.microsoft.com/en-us/library/hh690943(VS.103).aspx  Running a Java Environment on Windows Azure http://blogs.technet.com/b/port25/archive/2010/10/28/running-a-java-environment-on-windows-azure.aspx  Running a Java Environment on Windows Azure http://blogs.technet.com/b/port25/archive/2010/10/28/running-a-java-environment-on-windows-azure.aspx  Run Java with Jetty in Windows Azure http://blogs.msdn.com/b/dachou/archive/2010/03/21/run-java-with-jetty-in-windows-azure.aspx  Using the plugin for Eclipse http://blogs.msdn.com/b/craig/archive/2011/03/22/new-plugin-for-eclipse-to-get-java-developers-off-the-ground-with-windows-azure.aspx  Run Java with GlassFish in Windows Azure http://blogs.msdn.com/b/dachou/archive/2011/01/17/run-java-with-glassfish-in-windows-azure.aspx  Improving experience for Java developers with Windows  Azure http://blogs.msdn.com/b/interoperability/archive/2011/02/23/improving-experience-for-java-developers-with-windows-azure.aspx  Java Access to SQL Azure via the JDBC Driver for SQL  Server http://blogs.msdn.com/b/brian_swan/archive/2011/03/29/java-access-to-sql-azure-via-the-jdbc-driver-for-sql-server.aspx  How to Get Started with Java, Tomcat on Windows Azure http://blogs.msdn.com/b/usisvde/archive/2011/03/04/how-to-get-started-with-java-tomcat-on-windows-azure.aspx  Deploying Java Applications in Azure http://blogs.msdn.com/b/mariok/archive/2011/01/05/deploying-java-applications-in-azure.aspx  Using the Windows Azure Storage Explorer in Eclipse http://blogs.msdn.com/b/brian_swan/archive/2011/01/11/using-the-windows-azure-storage-explorer-in-eclipse.aspx  Windows Azure Tomcat Solution Accelerator http://archive.msdn.microsoft.com/winazuretomcat  Deploying a Java application to Windows Azure with  Command-line Ant http://java.interoperabilitybridges.com/articles/deploying-a-java-application-to-windows-azure-with-command-line-ant  Video: Open in the Cloud: Windows Azure and Java http://channel9.msdn.com/Events/PDC/PDC10/CS10  AzureRunMe  http://azurerunme.codeplex.com/  Windows Azure SDK for Java http://www.interoperabilitybridges.com/projects/windows-azure-sdk-for-java  AppFabric SDK for Java http://www.interoperabilitybridges.com/projects/azure-java-sdk-for-net-services  Information Cards for Java http://www.interoperabilitybridges.com/projects/information-card-for-java  Apache Stonehenge http://www.interoperabilitybridges.com/projects/apache-stonehenge  Channel 9 Case Study on Java and Windows Azure http://www.microsoft.com/casestudies/Windows-Azure/Gigaspaces/Solution-Provider-Streamlines-Java-Application-Deployment-in-the-Cloud/400000000081   

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  • Cloudify: bootstrap-localcloud: operation failed?

    - by quanta
    OS: Gentoo, CentOS Version: 2.1.0 Follow the quick start guide, I got the below error when running bootstrap-localcloud: cloudify@default> bootstrap-localcloud STARTING CLOUDIFY MANAGEMENT 2012-05-30 14:55:50,396 WARNING [org.cloudifysource.shell.commands.AbstractGSCommand] - ; \ Caused by: org.cloudifysource.shell.commands.CLIException: \ Error while starting agent. \ Please make sure that another agent is not already running. Operation failed. What port Cloudify is using to check that agent is running? PS: it's working fine when running on Windows. UPDATE: Wed May 30 22:37:30 ICT 2012 Reply to @tamirkorem and @Itai Frenkel: I'm pretty sure because this is the first time I run that command on 2 servers. More clearly, here're the output: cloudify@default> teardown-localcloud Teardown will uninstall all of the deployed services. Do you want to continue [y/n]? 2012-05-30 22:43:33,145 WARNING [org.cloudifysource.shell.commands.AbstractGSCommand] - Teardown failed. Failed to fetch the currently deployed applications list. For force teardown use the -force flag. Operation failed. cloudify@default> teardown-localcloud -force Teardown will uninstall all of the deployed services. Do you want to continue [y/n]? Failed to fetch the currently deployed applications list. Continuing teardown-localcloud. .2012-05-30 22:46:39,040 WARNING [org.cloudifysource.shell.commands.AbstractGSCommand] - Teardown aborted, an agent was not found on the local machine. Operation failed. and this one is the detailed result: cloudify@default> bootstrap-localcloud --verbose NIC Address=127.0.0.1 Lookup Locators=127.0.0.1:4172 Lookup Groups=localcloud Starting agent and management processes: gs-agent.sh gsa.global.lus 0 gsa.lus 0 gsa.gsc 0 gsa.global.gsm 0 gsa.gsm_lus 1 gsa.global.esm 0 gsa.esm 1 >/dev/null 2>&1 STARTING CLOUDIFY MANAGEMENT 2012-05-30 22:36:12,870 WARNING [org.cloudifysource.shell.commands.AbstractGSCommand] - ; Caused by: org.cloudifysource.shell.commands.CLIException: Error while starting agent. Please make sure that another agent is not already running. Command executed: /usr/local/src/gigaspaces-cloudify-2.1.0-ga/bin/gs-agent.sh gsa.global.lus 0 gsa.lus 0 gsa.gsc 0 gsa.global.gsm 0 gsa.gsm_lus 1 gsa.global.esm 0 gsa.esm 1 >/dev/null 2>&1 Reply to @Eliran Malka: there is no such process listening on port 4172: # netstat --protocol=inet -nlp Active Internet connections (only servers) Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name tcp 0 0 127.0.0.1:9050 0.0.0.0:* LISTEN 2363/tor tcp 0 0 127.0.0.1:3306 0.0.0.0:* LISTEN 2331/mysqld tcp 0 0 127.0.0.1:631 0.0.0.0:* LISTEN 2293/cupsd

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  • Akka framework support for finding duplicate messages

    - by scala_is_awesome
    I'm trying to build a high-performance distributed system with Akka and Scala. If a message requesting an expensive (and side-effect-free) computation arrives, and the exact same computation has already been requested before, I want to avoid computing the result again. If the computation requested previously has already completed and the result is available, I can cache it and re-use it. However, the time window in which duplicate computation can be requested may be arbitrarily small. e.g. I could get a thousand or a million messages requesting the same expensive computation at the same instant for all practical purposes. There is a commercial product called Gigaspaces that supposedly handles this situation. However there seems to be no framework support for dealing with duplicate work requests in Akka at the moment. Given that the Akka framework already has access to all the messages being routed through the framework, it seems that a framework solution could make a lot of sense here. Here is what I am proposing for the Akka framework to do: 1. Create a trait to indicate a type of messages (say, "ExpensiveComputation" or something similar) that are to be subject to the following caching approach. 2. Smartly (hashing etc.) identify identical messages received by (the same or different) actors within a user-configurable time window. Other options: select a maximum buffer size of memory to be used for this purpose, subject to (say LRU) replacement etc. Akka can also choose to cache only the results of messages that were expensive to process; the messages that took very little time to process can be re-processed again if needed; no need to waste precious buffer space caching them and their results. 3. When identical messages (received within that time window, possibly "at the same time instant") are identified, avoid unnecessary duplicate computations. The framework would do this automatically, and essentially, the duplicate messages would never get received by a new actor for processing; they would silently vanish and the result from processing it once (whether that computation was already done in the past, or ongoing right then) would get sent to all appropriate recipients (immediately if already available, and upon completion of the computation if not). Note that messages should be considered identical even if the "reply" fields are different, as long as the semantics/computations they represent are identical in every other respect. Also note that the computation should be purely functional, i.e. free from side-effects, for the caching optimization suggested to work and not change the program semantics at all. If what I am suggesting is not compatible with the Akka way of doing things, and/or if you see some strong reasons why this is a very bad idea, please let me know. Thanks, Is Awesome, Scala

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