P2P系统的性能优化：研究综述

Peer-to-Peer(P2P)计算模型在利用和管理日益增长的分布式信息和资源方面是一种非常成功的计算模型。但是这种计算模式也有一些缺点,特别是decentralized unstructured P2P系统,它将随机选择邻居和blind floodingsearch机制联合起来使用,使系统的网络开销急速地增加,严重地影响了系统的性能。本文介绍了减少decentralizedunstructured P2P系统网络开销的各类方法,对它们的优缺点进行了详细的比较,并根据比较的结果对今后的发展趋势进行了展望。

A Survey: The Performance Optimization in P2P System

Peer-to-Peer (P2P) computing model is a successful computing model in utilizing and managing the growing information and resources that are distributed over the Internet. However, this computing model has some limitations. Especially, decentralized unstructured P2P systems uses randomly choosing neighbor and blind flooding search in combination, which dramatically aggravates the network overhead thus seriously affects the performance of such systems. In this paper we introduce and compare various types of existing methods for alleviating the network overhead of decentralized unstructured P2P systems. Based on the comparison, we predict the directions of the researching in the performance optimization of decentralized unstructured P2P systems.