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机构地区:[1]中南大学信息科学与工程学院,长沙410083 [2]韶关学院计算机科学学院,广东韶关512005
出 处:《小型微型计算机系统》2011年第9期1837-1840,共4页Journal of Chinese Computer Systems
基 金:国家自然科学基金项目(60573127;60873082)资助;湖南省自然科学基金项目(06JJ30032)资助
摘 要:针对当前对等网中超节点的选择大都根据节点物理性能而没有考虑free-riding现象,综合考虑节点的物理性能、自愿性与对节点的未来预期,提出一种具有激励效用的超节点选取机制SSMI,SSMI中选取节点整体效用值最大的节点作为超节点,超节点同时承担一定的监察作用以威慑Free-riding节点.仿真实验表明,SSMI较之按节点能力选择的方法使P2P系统性能明显提高,能保证在较小的网络开销下,达到激励节点主动参与贡献资源的目的,提高了文件共享数量与查询成功率,减少了资源的定位开销.同时保障了超节点叠加网络的稳定性,具有较好的系统鲁棒性.The performance of P2P networks have decreased severely because of the large number of free-riders. How to incentive nodes to provide service is an important factor to improve the performance of P2P networks. Differing from the general super-peer selection which is only based on physical capability and unconsidered free-riding, super-peer selection mechanism with incentive ( SS- MI) is presented in this paper considering physical capability, voluntary and anticipation to future. The node is selected'as the superpeer by each node's utility and endow super-peer with supervising privilege in SSMI. It's been shown that the SSMI increases the total number of file shared, improves the file querying success rate, decreases the average querying hops, and ensures the cost is small at the same time in the Simulation experiments. The Super-peer overlay of SSMI is steady and robust.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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