文章基本信息

标题：An Adaptive P2P Topology Evolvement Model Based on Interest Similarity
本地全文：下载
作者：Li Yang ; Changyou Xing ; Yusen Zhang 等
期刊名称：International Journal of Computer Networks & Communications
印刷版ISSN：0975-2293
电子版ISSN：0974-9322
出版年度：2010
卷号：2
期号：6
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：To improve the resource location efficiency and guarantee resource download quality of nodes in P2P systems, we propose a node Interest bias based P2P Interest domain partition mechanism, give the concept of Interest similarity as well as its computation method, and then present an adaptive P2P topology evolvement model ISPT based on interest similarity ISPT. In ISPT, by computing interest similarity of each other, nodes with similar interest bias and service trust value are connected as neighbors. Since nodes that have similar interest are more likely to share resources, ISPT improves node resource query response efficiency, and provides an incentive mechanism to encourage node offer more contribution so as to get better service. Simulation results show that ISPT improves the efficiency and security of P2P topology effectively.
关键词：To improve the resource location efficiency and guarantee resource download quality of nodes in;P2P systems; we propose a node Interest bias based P2P Interest domain partition mechanism; give;the concept of Interest similarity as well as its computation method; and then present an adaptive P2P;topology evolvement model ISPT based on interest similarity ISPT. In ISPT; by computing interest;similarity of each other; nodes with similar interest bias and service trust value are connected as;neighbors. Since nodes that have similar interest are more likely to share resources; ISPT improves;node resource query response efficiency; and provides an incentive mechanism to encourage node;offer more contribution so as to get better service. Simulation results show that ISPT improves the;efficiency and security of P2P topology effectively.