基于遗传算法的P2P激励机制
A NovelP2P Resource Sharing IncentiveM echanism
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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.Abstract: To resolve the“free rider”and the“tragedy of the commons”problem in peer-to-peer storage systems. In this paper, we propose incentivemechanism in aP2P 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 themore sharing storage which its can use. Analyses and simulations show that the genetic algorithms-based P2P incentivemechanism is fairness and effective, and itcan discard the free- rider from P2P system effectively and encourage the node sharingmore storage so that itcan earnmore reward.
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Key words:
- peer-to-peer /
- storage allocation /
- genetic algorithms /
- incentive
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