Resource search method in large-scale non-structural P2P network

Abstract

The invention relates to a resource searching method in large scale unstructured P2P network. The method is: during course of issuance and maintenance of resource information, the nodes receives BF information, and converts according to requirement of different adjacent nodes after discarding definite ratio, and saves it in adjacent BF table; during course of searching for resource, the middle node calculates the similitude degree of object resource and adjacent resource BF table, and based on the distribution situation of BF information, parallel searching between several messages can be proceed.

Description

technical field The invention relates to a resource search method in a computer network, in particular to a high-performance resource search method supporting a large-scale network. Background technique P2P (peer-to-peer) network is a network that has emerged in recent years. In the P2P network, each node is logically equivalent, there is no distinction between client and server, and each node can communicate and interact directly. At present, P2P networks are widely used in important fields such as scientific research, e-commerce, e-government and military applications. In order to realize the effective sharing and comprehensive utilization of resources, P2P network users need to search for resources that meet the requirements, and resource search is one of the key technologies of P2P networks. According to resource organization modes, P2P networks can generally be divided into two types: structured (Structured) P2P networks and unstructured (Unstructured) P2P networks. ...

AI Technical Summary

Problems solved by technology

However, there are conflicts between these performance characteristics, which brings difficulties to the wide application of P2P networks.

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