集成语义和多Agent的网格资源发现模型

Grid Resource Discovery Model with Semantic and Multi-Agent

将P2P技术应用到网格环境中,可为网格的可扩展性提供更好的解决方案。该文提出一种基于P2P模式的网格资源发现模型,将资源的发现分为2个阶段:网格节点GridPeer域内查询和网格节点GridPeer域间查询,并且集成了语义和多Agent技术。理论分析表明,该模型比集中式资源发现方案可扩展性更强,更适用于基于P2P模式的网格环境下资源的匹配。

The integration of grid and P2P provides a solution for the scalability of conventional grid. This paper proposes a P2P-based grid resource discovery model, which is integrated semantic and multi-Agent, to optimize grid resource discovery. In this model, resource discovery consists of two phases; intra-GridPeer query and inter-GridPeer query. Theory analysis proves that the model is more flexible and more scalable, which is more suitable for P2P Grid resources matchmaking.