P2P群体管理体系结构的搜索优化和自组织性研究

Research on Search Optimization and Self-Organization of P2P Community Management Framework

资源搜索和节点管理一直是非结构化Peer-to-Peer(P2P)网络研究的热点。很多不同的搜索策略和分组方案在面临高转换率,freeriding和whitewashing等特殊安全问题时将无法达到原有的性能和效率。文章提出了一个开放的具有抵抗上述特殊问题的群体管理体系结构。主要工作包括:(1)一个新的群体管理体协结构及对应的协议和双层树结构;(2)基于缓存的捷径技术和关键拓扑群体分组技术来优化搜索策略。性能评估表明提出的体系结构具有更好的搜索性能、开放性和对抗特殊问题的能力。

Resource searching and peer management are hot topics of unstructured Peer-to-Peer （P2P） network. Many searching strategies, grouping schemes facing the unique security problems like high turnover rate, free riding, whitewashing, etc. mid can not achieve their expected performance and efficiency. This paper proposes an open community management framework capable of dealing with these problems. Our primary work are： （l） a new community management framework as well as the corresponding protocols and the Double-deck Tree structure and （2） Cache-based shortcuts and Critical Topolog3-aware community grouping techniques for optimizing resource searching. Performance evaluation shows that the proposed framework has better searching performance, openness and ability to confront P2P problems.