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Simulation analysis of download and recovery processes in P2P storage systems

机译:P2P存储系统中下载和恢复过程的仿真分析

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Peer-to-peer storage systems rely on data fragmentation and distributed storage. Unreachable fragments are continuously recovered, requiring multiple fragments of data (constituting a “block”) to be downloaded in parallel. Recent modeling efforts have assumed the recovery process to follow an exponential distribution, an assumption made mainly in the absence of studies characterizing the “real” distribution of the recovery process. This work aims at filling this gap through a simulation study. To that end, we implement the distributed storage protocol in the NS-2 network simulator and run a total of seven experiments covering a large variety of scenarios. We show that the fragment download time follows approximately an exponential distribution. We also show that the block download time and the recovery time essentially follow a hypo-exponential distribution with many distinct phases (maximum of as many exponentials). We use expectation maximization and least square estimation algorithms to fit the empirical distributions. We also provide a good approximation of the number of phases of the hypo-exponential distribution that applies in all scenarios considered. Last, we test the goodness of our fits using statistical (Kolmogorov-Smirnov test) and graphical methods.
机译:对等存储系统依赖于数据分段和分布式存储。无法访问的片段将不断恢复,需要并行下载多个数据片段(构成一个“块”)。最近的建模工作假设恢复过程遵循指数分布,这一假设主要是在没有研究表征恢复过程的“实际”分布的情况下做出的。这项工作旨在通过模拟研究填补这一空白。为此,我们在NS-2网络模拟器中实现了分布式存储协议,并总共运行了七个实验,涵盖了各种场景。我们显示片段下载时间遵循近似指数分布。我们还表明,块下载时间和恢复时间基本上遵循具有许多不同阶段(最大为许多指数)的次指数分布。我们使用期望最大化和最小二乘估计算法来拟合经验分布。我们还提供了适用于所考虑的所有方案的次指数分布的相数的良好近似值。最后,我们使用统计(Kolmogorov-Smirnov检验)和图形方法测试拟合的优劣。

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