Integrated Agent and Semantic P2P Grid Resource Discovery Model

Resource discovery is the key requirements in large heterogeneous Grid environments, and an effective and efficient resource discovery mechanism is crucial. However, the complicated and dynamic characteristics of grid resources make sharing and discovering them a challenge. In this paper, a novel model, in which agent and semantic are integrated, is proposed to discovery grid resource efficiently in P2P Grid environment. Resource discovery consists of two aspects: intra- GridPeer query and inter-GridPeer query. The semantic- based match is also used to increase the match accuracy and offers the intelligent search. The Model can adapt to the complex, heterogeneous and dynamic resources of the P2P Grid, and has a better scalability.