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Cache Bandwidth Allocation for P2P File Sharing Systems to Minimize Inter-ISP Traffic

机译:P2P文件共享系统的高速缓存带宽分配,以最大程度地减少ISP间的流量

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摘要

Many Internet service providers (ISPs) have deployed peer-to-peer (P2P) caches in their networks in order to decrease costly inter-ISP traffic. A P2P cache stores parts of the most popular contents locally, and if possible serves the requests of local peers to decrease the inter-ISP traffic. Traditionally, P2P cache resource management focuses on managing the storage resource of the cache so as to maximize the inter-ISP traffic savings. In this paper we show that, when there are many overlays competing for the upload bandwidth of a P2P cache, then in order to maximize the inter-ISP traffic savings the cache's upload bandwidth should be actively allocated among the overlays. We formulate the problem of P2P cache bandwidth allocation as a Markov decision process, and propose three approximations to the optimal cache bandwidth allocation policy. We use extensive simulations and experiments to evaluate the performance of the proposed policies, and show that the bandwidth allocation policy that prioritizes swarms with a small ratio of local peers to all peers in the swarm can improve the inter-ISP traffic savings in BitTorrent-like P2P systems by up to 30 to 60 percent.
机译:许多Internet服务提供商(ISP)已在其网络中部署了对等(P2P)缓存,以减少昂贵的ISP间流量。 P2P高速缓存在本地存储部分最受欢迎的内容,并在可能的情况下满足本地对等方的请求,以减少ISP之间的流量。传统上,P2P缓存资源管理侧重于管理缓存的存储资源,以最大程度地节省ISP之间的流量。在本文中,我们表明,当有许多覆盖争夺P2P缓存的上载带宽时,为了最大程度地节省ISP之间的流量,应在这些覆盖之间主动分配缓存的上载带宽。我们将P2P缓存带宽分配问题公式化为马尔可夫决策过程,并针对最优缓存带宽分配策略提出了三种近似方法。我们使用大量的模拟和实验来评估所提出策略的性能,并显示出带宽分配策略优先考虑具有少量本地对等点的集群与集群中所有对等点的优先级,可以改善类似BitTorrent的ISP间流量节省P2P系统最多可提高30%到60%。

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