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Caching for BitTorrent-Like P2P Systems: A Simple Fluid Model and Its Implications

机译:类似于BitTorrent的P2P系统的缓存:一种简单的流体模型及其含义

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摘要

Peer-to-peer file-sharing systems are responsible for a significant share of the traffic between Internet service providers (ISPs) in the Internet. In order to decrease their peer-to-peer-related transit traffic costs, many ISPs have deployed caches for peer-to-peer traffic in recent years. We consider how the different types of peer-to-peer caches—caches already available on the market and caches expected to become available in the future—can possibly affect the amount of inter-ISP traffic. We develop a fluid model that captures the effects of the caches on the system dynamics of peer-to-peer networks and show that caches can have adverse effects on the system dynamics depending on the system parameters. We combine the fluid model with a simple model of inter-ISP traffic and show that the impact of caches cannot be accurately assessed without considering the effects of the caches on the system dynamics. We identify scenarios when caching actually leads to increased transit traffic. Motivated by our findings, we propose a proximity-aware peer-selection mechanism that avoids the increase of the transit traffic and improves the cache efficiency. We support the analytical results by extensive simulations and experiments with real BitTorrent clients.
机译:点对点文件共享系统负责Internet中Internet服务提供商(ISP)之间流量的重要份额。为了降低其对等相关的传输流量成本,近年来,许多ISP已为对等流量部署了缓存。我们考虑了不同类型的对等高速缓存(市场上已经可用的高速缓存和预计将来将可用的高速缓存)可能如何影响ISP间的流量。我们开发了一个流体模型,该模型捕获了高速缓存对对等网络的系统动态的影响,并显示了高速缓存可能会根据系统参数对系统动态产生不利影响。我们将流体模型与ISP间流量的简单模型结合在一起,并表明,如果不考虑缓存对系统动态的影响,就无法准确评估缓存的影响。我们确定了当缓存实际上导致增加的传输流量时的方案。根据我们的发现,我们提出了一种邻近感知对等选择机制,该机制避免了传输流量的增加并提高了缓存效率。我们通过与真实的BitTorrent客户进行广泛的模拟和实验来支持分析结果。

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