Search Results for "java rad framework"
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Showing 19 open source projects for "java rad framework"
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The Community Scheduler Framework (CSF) is a set of Grid Services, implemented using the Globus Toolkit, which provides an environment for the development of metaschedulers that can dispatch jobs to resource managers such as LSF, SGE, PBS and Condor.
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ForeIndex
Distributed Index with Apache Hadoop, Apache Lucene and Apache Tika
This is a distributed index framework using Apache Hadoop, Apache Lucene and Apache Tika, to index large volume of data. -
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This project aims to provide a reliable cloud computing system, able to work with cloud computing framework existing today. Developed and maintained by Alecsandru Patrascu, Computer Science, University Politehnica of Bucharest
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Web Reporting
although fully functional, this is a pre-framework that you can extend
Fourfive is a powerful yet extremely easy-to-configure web reporting solution for Oracle and possibly other RDBMS. -
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Essence is a simple Java framework with modules for Quantitative Analysis and Distributed Data systems.
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Jgroup/ARM is a replication framework that supports group method invocations, hides replication from the clients, and partitioning in distributed systems. In addition, the replication management facility supports autonomous replica deployment and recovery
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Alternative implementation of Spring framework remoting subsystem that supports different schemes of remote communication between client and server (1-1, 1-many, dynamic services discovering).
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The underlayer is a symmetric decentralized parallel computing and load balancing framework, providing c, perl and java APIs for distributed job management.
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Provides distributed method invocation capabilities to regular Java classes with limited or no extra work for the developer. The workload is balanced over participating machines. Java API, Anders Björklund
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DAT Freight and Analytics - DATDAT Freight & Analytics operates DAT One, North America’s largest truckload freight marketplace; DAT iQ, the industry’s leading freight data analytics service; and Trucker Tools, the leader in load visibility. Shippers, transportation brokers, carriers, news organizations, and industry analysts rely on DAT for market trends and data insights, informed by nearly 700,000 daily load posts and a database exceeding $1 trillion in freight market transactions. Founded in 1978, DAT is a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500, and Fortune 1000. Headquartered in Beaverton, Ore., DAT continues to set the standard for innovation in the trucking and logistics industry.
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OpenRDS (Open Requisition Distribution System) is a framework written in Java/RMI conceived for making requisition-based distributed systems (clustering) easy to develop/manage. It's design emphasizes robustness, simplicity and scalability.
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OpenEMS™ is the multi platform Grid framework to seamlessly aggregate all your multi platform resources into a virtual super computer.
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YaJal is an abstraction layer written in Java over JXTA. It hides all the complexity in setting up and handling JXTA classes. It offers you an easy framework where to develop peer-to-peer applications.
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SysUnit is a JUnit framework for distributed testing, system testing and integration testing. SysUnit is ideal for testing highly distributed software such as clusters of web applications, web services or MOM based software
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java-based complete Agent (Artificial Intelligence) Framework with all the features you might expect in an Agent Framework: Mobility, Autonomy, Distributed communication, Agents can be written in Java, Jython, or Beanshell.
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Momoko is a framework for developing distributed, multi-user, network-aware applications. It includes facilities for storing objects in a tree structure, a shell for manipulating the object database, orthogonal persistence, scripting support, and a trans
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WebOS is an application framework built with Jini services exposed as JMX Managed Beans (MBeans for short). It provides ease of configuration, ease of administration, ease of programming and improved performances.
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Designed to allow quick setup of powerful NOW-based clusters to run compute-intensive applications. Applications do not have to be designed specially for these clusters to benefit.
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