摘要： 对等(P2P)网络中的搭便车问题使得网络节点只享用信息资源服务而不为系统贡献资源，导致网络中的共享资源不断减少，严重影响P2P网络系统的性能。为此，根据博弈论中的纳什均衡理论提出基于RDEC算法的激励机制。通过模拟实验并对相关数据进行分析，结果表明，该策略能改进P2P网络中资源的公平共享，最大化系统的效用。
关键词:
对等网络,
博弈论,
激励机制,
纳什均衡理论,
资源分配
Abstract: The free-riding problem in Peer-to-Peer(P2P) network makes nodes only use information resources instead of contributing resources for the system. It leads resources continue to decrease, which seriously affects the P2P network system performance. To solve the problem, this paper proposes a P2P incentive mechanism based on RDEC algorithm by using the Nash equilibrium theory. Simulation experiments and the analysis of its data demonstrate the strategy can improve resource sharing fairly and maximize the system utility.
Key words:
Peer-to-Peer(P2P) network,
game theory,
incentive mechanism,
Nash equilibrium theory,
resource distribution
中图分类号:
张娓娓, 陈绥阳, 余洋. 基于博弈论的P2P激励机制[J]. 计算机工程, 2011, 37(15): 89-91,102.
ZHANG Wei-Wei, CHEN Rui-Yang, TU Xiang. P2P Incentive Mechanism Based on Game Theory[J]. Computer Engineering, 2011, 37(15): 89-91,102.