BitTorrent流量特征

D. Erman, D. Die, A. Popescu
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引用次数: 13

摘要

本文对BitTorrent流量的会话和消息特性进行了测量和建模研究。BitTorrent是一种点对点(P2P)复制和分发系统,作为经典客户端-服务器模型的替代方案而开发,以减少内容服务器和网络的负载。结果报告了测量,建模和分析的应用程序和链路层的痕迹收集在布莱金理工学院(BTH)和一个当地的ISP在瑞典。使用BTH开发的专用测量基础设施来收集P2P流量,收集链路层跟踪和应用程序日志,并对其进行建模和分析。新的结果报告了重要的会话和消息特征的BitTorrent,即,会话间到达,大小和持续时间,请求率和响应时间。我们的研究结果表明,会话间隔可以用二阶超指数分布精确地建模,而会话持续时间和大小可以用对数正态分布和威布尔分布的各种混合分布来相当好地建模。已经观察到响应时间是由双对数正态混合建模的,而请求率是由双高斯分布建模的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BitTorrent Traffic Characteristics
This paper reports on a measurement and modeling study of session and message characteristics of BitTorrent traffic. BitTorrent is a peer-to-peer (P2P) replication and distribution system developed as an alternative to the classical client-server model to reduce the load on content servers and networks. Results are reported on measurement, modeling and analysis of application and link layer traces collected at the Blekinge Institute of Technology (BTH) and a local ISP in Sweden. Link layer traces and application logs were collected, modeled and analyzed using a dedicated measurement infrastructure developed at BTH to collect P2P traffic. New results are reported on important session and message characteristics of BitTorrent, i.e., session inter arrivals, sizes and durations, request rates and response times. Our results show that session interarrivals can be accurately modeled by a second-order hyper-exponential distribution while session durations and sizes can be reasonably well modeled by various mixtures of the log-normal and Weibull distributions. Response times have been observed to be modeled by a dual log-normal mixture, while request rates are modeled as dual Gaussian distributions
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