Resource Management Model and ResourceDiscovery Algorithm for P2PGrid
Grid and peer-to-peer (P2P) are both hot topics respectively. However, the convergence of the two systems is increasingly visible: the two research communities started to acknowledge each other by forming multiple research groups that study the potential lessons that exchanged. P2P research focuses more and more on providing infrastructure and diversifying the set of applications; Grid research is starting to pay particular attention to increasing scalability. Therefore, P2P technology can improve the scalability of traditional Grid. In this paper, we firstly describe a P2PGrid resource management model, then propose a genetic ant algorithm to discovery resource efficiently in the P2PGrid environment. Theoretical analysis and simulations prove that the algorithm can improve the performance of resource discovery in P2PGrid .