An Optimized Search Algorithm for Resource Discovery in Peer to Peer Grid

Abstract

One of the challenges for resource discovery in unstructured peer to peer grid is the minimizing of network traffic that is produced by query messages which are broadcasted to other nodes to find appropriate resources in the grid. These methods do not work well because each specific query generates a large amount of network traffic, and network is quickly saturated by the query messages. This study is proposed a genetic algorithm to find the required resources in peer to peer grid. This method prevents the massive flooding of the network traffic and decreasing query messages by using the restricted and optimized flooding. We compare our method with traditional approaches. Obtained results show that proposed method decreases the network traffic.