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A Pure Nash Equilibrium Guaranteeing Game Theoretical Replica Allocation Method for Reducing Web Access Time

机译:一种纯NASH均衡保障博弈减少Web访问时间的理论副本分配方法

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This paper proposes a non-cooperative game theoretical replica allocation technique (NCOR) to reduce user perceived Web access delays. NCOR uses distributed agents that because of their local knowledge act in a self-interested manner in order to enhance the performance of the servers that they represent. This can lead to some performance gains for some servers but has the potential to negatively impact the overall system’s performance. NCOR uses an effective cost model to guarantee the overall system performance gain despite the self-interested actions of these agents. With spontaneous and non-deterministic strategies, the system can exhibit Nash equilibrium. However, that may or may not guaranteed system-wide performance at a given time. Furthermore, their can be multiple Nash equilibria, making it difficult to decide which one is the best. Instead, we use the notion of pure Nash equilibrium, which if achieved is guaranteed to ensure stable optimal performance. Pure Nash equilibrium can be only achieved by deterministic strategies. In general, the existence of a pure Nash equilibrium is remarkably hard to achieve; however, we prove the existence of such an equilibrium in NCOR. Experimental comparisons with several non-game theoretical techniques reveal that NCOR maintains superior solution quality, in terms of lower communication cost and reduced execution time.
机译:本文提出了一种非合作博弈理论副本分配技术(Ncor),以减少用户感知的Web访问延迟。 ncor使用分布式代理,因为他们的本地知识以自我兴趣的方式行动,以提高他们所代表的服务器的表现。这可以导致某些服务器的一些性能提升,但有可能对整个系统的性能产生负面影响。 NCOR使用有效的成本模型来保证整体系统性能,尽管这些代理人的自私自行为。具有自发性和非确定性策略,系统可以表现出纳什均衡。但是,这可能或可能无法在给定时间保证系统范围的性能。此外,它们可以是多个纳什均衡,使得难以决定哪一个是最好的。相反,我们使用纯NASH均衡的概念,如果获得了确保确保稳定的最佳性能。纯纳什均衡只能通过确定性策略实现。一般来说,纯净的均衡存在非常难以实现;但是,我们证明了NCOR中这种平衡的存在。具有几种非博弈的理论技术的实验比较表明,在较低的通信成本和减少的执行时间方面,NCOR保持了卓越的解决方案质量。

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