基于遗传算法的P2P激励机制  

A Novel P2P Resource Sharing Incentive Mechanism

作　　者：肖波[1] 靳桅[1] 侯孟书[2] 

机构地区：[1]西南交通大学峨眉校区,四川峨眉山614202 [2]电子科技大学计算机科学与工程学院,四川成都610054

出　　处：《西南交通大学学报》2005年第3期417-421,共5页Journal of Southwest Jiaotong University

摘　　要：针对P2P系统中共享存储资源的搭便车和公共悲剧问题,提出了一种基于遗传算法的P2P存储资源共享激励机制,提供资源的节点根据遗传算法选择最优策略分配资源,以使其贡献值最大化,贡献值大的节点其可支配使用的共享存储资源越多,仿真实验表明,该机制能有效地实现P2P系统中存储资源分配的公平性和效率,达到了激励节点参与共享资源,抑制节点自私行为的目的.To resolve the “free rider” and the “tragedy of the commons” problem in peer-to-peer storage systems. In this paper, we propose incentive mechanism in a P2P storage sharing system based on the genetic algorithms. In this mechanism, the provider allocates the sharing space based the genetic algorithms, and maximum its contribution by choosing the optimum policy. The more contribution and the more sharing storage which its can use. Analyses and simulations show that the genetic algorithms-based P2P incentive mechanism is fairness and effective, and it can discard the freerider from P2P system effectively and encourage the node sharing more storage so that it can earn more reward.

关 键 词：存储分配 对等计算 遗传算法 激励 

分 类 号：TP393.02[自动化与计算机技术—计算机应用技术]