P2PVoD系统的博弈论数据分配方案

Fang Xia, Xingwei Liu, Huaping Liu
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引用次数: 0

摘要

在P2PVoD系统中,数据分配实质上是一个NP-hard问题,无法找到多项式时间最优算法。同时,同伴的自私行为是影响最优解的关键问题之一。本文提出了一种博弈论数据分配方案。为了使社会收益最大化,同伴之间相互合作。该方案也是基于激励价值观,使合作更好。将PlanetLab数据应用于该方法的实验中,结果表明该方法可以提高搜索速度和优化率。提高了系统的稳定性和可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Game-Theoretic Data Assignment Scheme for P2PVoD System
In the P2PVoD system, the data assignment is in essence a NP-hard issue and it is unable to find a polynomial time optimal algorithm. Meanwhile, selfish behavior of peers is one of the key problems that influence the optimal solution. In this paper, a Game-Theoretic data assignment scheme is presented.Peers are cooperating with each other in order to maximize social payoff. This scheme is also based on incentive values to make better cooperation. In the experiment, the PlanetLab data is applied for this approach and the results demonstrate the proposed method can accelerate searching speed and optimization rate. Additionally, the stabilization and expansibility of the system is improved.
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