The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
JXTA: A Network Programming Environment
IEEE Internet Computing
Resource Allocation in the Grid Using Reinforcement Learning
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
JXTPIA: a JXTA-based P2P network interface and architecture for grid computing
HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications
JXTPIA: a JXTA-based P2P network interface and architecture for grid computing
HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications
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To extend a Peer-to-Peer (P2P) network system with the mechanisms of distributed/Grid computing, we developed a flexible JXTA- based P2P network interface and architecture, JXTPIA. The JXTPIA system provides the basic functionalities for Grid computing, such as resources allocation and sharing, task scheduling and assignment, network structure constructing and maintenance, etc. One of the main challenges in developing the JXTPIA system is efficient allocation of resources. We developed and evaluated algorithms for resource allocation to improve the efficiency of the JXTPIA system. The experimental results show that the efficiency of the JXTPIA system differs depending on the adopted algorithms. It indicates that scheduling based on limited information about peers has effects on the performance of the entire system. Though the adopted algorithms are specialized for the JXTPIA system only, the principle of the algorithms can be widely used on similar systems.