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CLOUD and HPC with OW2 Open Source ProActive Parallel Suite:
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Schedule: February, 2013
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Dec. 12, 2012
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Studio 1.2

The goal of ProActive Matlab Connector is to equip Matlab with a generic interface to Grid and Cloud computing. It is composed of a Matlab toolbox. It allows the deployment of Matlab instances on several nodes of various infrastructures, and to use these instances like computing engines. The submission of Matlab tasks to be distributed over nodes is achieved seamlessly and directly from the usual Matlab interactive environments.

This package features :

  • Run functions on remote computers, Grids, and Clouds.

  • Do not block the local session while remote results are being produced.

  • Seamlessly retrieve results when you need them, just as if the functions were run locally.

  • Provide you with detailed remote log/output information, altogether with errors if any occurred.

  • Disconnected mode, where the local session doesn't need to remain open while the job is processing.

  • Automatic source transfer, data file transfer, transfer of local workspace, and other configurable options.

Matlab Connector 1.1

The goal of ProActive Scilab Connector is to equip Scilab with a generic interface to Grid and Cloud computing. It is composed of a Scilab toolbox. It allows the deployment of Scilab instances on several nodes of various infrastructures, and to use these instances like computing engines. The submission of Scilab tasks to be distributed over nodes is achieved seamlessly and directly from the usual Scilab interactive environments.

This package features :

  • Run functions on remote computers, Grids, and Clouds.

  • Do not block the local session while remote results are being produced.

  • Seamlessly retrieve results when you need them, just as if the functions were run locally.

  • Provide you with detailed remote log/output information, altogether with errors if any occurred.

  • Disconnected mode, where the local session doesn't need to remain open while the job is processing.

  • Automatic source transfer, data file transfer, transfer of local workspace, and other configurable options.

Scilab Connector 1.1

ProActive Java Active Objects (Programming) is an open source Java library aiming to simplify the programming of multithreaded, parallel, and distributedapplications for Clouds, Grids, multi-cores, clusters, and data-centers. 

Java Active Objects features a concurrent and parallel programming model, offers distributed and asynchronous communications, mobility and a deployment framework.

Java Active Objects 5.3

The ProActive Scheduler allows easy distribution of all your applications (Native, Java, Scripts, Matlab, Scilab, GPU, etc.), together withDynamic Workflows. It provides automatic input and output file transfer, fault tolerance, resource selection and configuration through scripting (Javascript, Ruby, Python), multi-core and topology control.

Scheduler 3.3

The Scheduling and Resource Management Rest APIs provide a language-independent access to the Scheduler.

Use this interface to seamlessly integrate orchestration and scheduling in you own portal.

Main Features:

  • Jason serialization

  • War archive for direct integration into your Web Application

 

Rest API 1.3

The Scheduler Web portal provides a platform-independent access to the Scheduler.

Main Features:

  • Full visualization of Job and Task details

  • Full access to output and logs in streaming mode

  • GUI and Activation for Data Servers (File Transfer)

  • Remote Visualization of Graphical Tasks

  • Graphical monitoring of Workflow execution directly from the portal.

 

Scheduler Web Portal 1.3

The Cloud & Grid IaaS Web portal provides a platform-independent access to the Resource Manager.

Main Features:

  • Full visualization of resources, physical and virtual machines
  • Full control on resources, deploy or remove resources on desktop PCs, clusters, clouds...
  • Graphical monitoring of resource usage
Cloud & Grid IaaS Web Portal 1.3

The ProActive Cloud & Grid IaaS Server is the software for coupling distributed resources in order to solve large-scale problems. The distributed resources are represented by Java virtual machines launched on desktop computers, clusters or clouds.

The Cloud & Grid IaaS Server provides a single point of access to all resources enabling an effective way of selecting them for computations with different criteria.

 

Resource Manager 3.3

The ProActive Linux Agent allows to automatically start and monitor resources on Linux machines.

Main Features:

  • Automatic start, stop according to a weekly schedule.

  • Automatic monitoring and restart of forked processes.

  • Limit available system resources (cpu, I/O, memory).

  • Integrated with ProActive Cloud & Grid IaaS.

  • Same XML configuration file than the ProActive Windows Agent.

  • Can be started as a system daemon or as a regular executable without any special permissions.

     

 

Linux Agent 1.0

ProActive Windows Agent is a Windows Service: a long-running executable designed not to require user intervention. The agent is able to create a ProActive computational resource on the local machine. This resource will be provided to ProActive applications (such as the Cloud & Grid IaaS Server) according to the user defined planning.

Main features:

  • User defined weekly planning.

  • Local Registration of a ProActive node.

  • Cloud & Grid IaaS Server registration of a ProActive node.

  • Automatic restart of the spawned java process in case of failures.

  • RAM limitation of the spawned processes.

  • CPU limitation (throttling) of the spawned processes.

 

 

Windows Agent 2.4

Edited by:


With contributions from:
inriaunice

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July 2011 : Scheduler 3.1

The ProActive Scheduler allows easy distribution of all your applications (Native, Java, Scripts, Matlab, Scilab, GPU, etc.), together withDynamic Workflows. It provides automatic input and output file transfer, fault tolerance, resource selection and configuration through scripting (Javascript, Ruby, Python), multi-core and topology control.

Main New Features

  • Web portal for a platform-independent access to the Scheduler.

  • Graphical monitoring of Workflow execution from the portal.

  • REST API for a language-independent access to the Scheduler.

  • MapReduce capabilities with Hadoop-compliant job definition.

  • Improved Matlab support, with runAsMe capabilities (i.e. running Matlab engine under the OS level user ID).

  • Completed Scilab support.

  • Compatibility with the new ProActive License Saver for automatic license token management.

  • New Node Source policies and infrastructure managers (CRON-like, CLI-like, Simple local deployment, ...).

  • Statistic usage and monitoring data, and graphical view on RCP clients.

  • Better control of job execution with :

    • new preempt/restart/kill capabilities.

    • extended Scheduling Policy expressiveness (e.g. adding selection script to a scheduler task on-the-fly).

  • Stand-alone job definition with Job Archive.

  • Support for Oracle DB.

  • Many other improvements (better database disconnection handling, access to previous incarnation tasks for better error diagnostic, better task log storage and access with preciousLogs attribute, ...).

Maintenance Release Notes:(click to expand note)Download ProActive Parallel Suite:

28 July 2011 : Scheduler 3.1.0

14 November 2011 : Scheduler 3.1.1

18 January 2012 : Scheduler 3.1.2
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