Super Node Updating Mechanism In P2P Trust Model Based On Resource Cluster Using Gossip Method

In recent years, Peer-to-Peer (referred to as P2P) networking applications as a new model for its scalability, high degree of fault tolerance and other advantages become more and more popular。The main features of P2P technology is to make full use of the distribution in the terminal computer network resources, including computing resources, bandwidth resources, content resources, to reduce resource consumption on the central server needs. The development of P2P technology, its network model has gone through a centralized, distributed and structure of such types. Evolution of each model is a model of the pre-improvements, but there are still three models mentioned above, such as low reliability, information broadcasting and low volume and difficult to overcome scalability limitations. By analyzing the P2P network node in the available bandwidth, on-line duration, storage space, shared resources, capabilities, and many other performance differences that exist, to establish a set of nodes on the P2P network and update the trust value evaluation mechanism, taking advantage of resource cluster's point of view into a node group and node group within the elite group selected to manage. In this mechanism Gossip algorithm based on the use of ideas put forward in the elite P2P network node update algorithm. Experiments show that the algorithm Compared to the traditional flooding mechanism to take up less network resources in case of an accurate, fast and efficient conduct of the trust value of nodes to update and re-elected elite, thus ensuring the robustness of the entire trust network.Next, the paper analyzes the P2P network node based on the resource cluster construction of the process may encounter problems and proposed solutions.Finally, this experiment show that the proposed P2P network nodes based on the resource cluster in the efficiency of resource locating, authenticity, and stability had been good performance.