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BitTorrent packet traffic features over IPv6 and IPv4

机译:IPv6和IPv4上的BitTorrent数据包流量功能

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摘要

At present, BitTorrent protocol packets constitute a large part of peer-to-peer application traffic on the Internet. Due to the increasing amount of BitTorrent traffic, it has become inevitable to take into account its effects on network management. Generally, studies on BitTorrent traffic measurement have involved analysis with packets transmitted via IPv4 protocol. However, with several facilities provided by IPv6 protocol, its traffic volume in operational networks is increasing day by day. New features of IPv6 enhance packet processing speeds over routers, switches and end systems. We consider that traffic features and packet traffic characteristics are likely to be affected with increasing amount of IPv6 protocol traffic. Therefore, it becomes significant to explore IPv6 packet traffic characteristics and application traffic features over IPv6. In this study, we investigate the IPv6 BitTorrent packet traffic characteristics in terms of autocorrelation, power spectral density and self similarity of packet size and packet interarrival time. We also perform distribution modeling for IPv4 and IPv6 BitTorrent packet traffic. With these models, efficient packet traffic traces are generated for network simulation studies. A detailed comparison is performed to determine differences between IPv4 and IPv6 BitTorrent packet traffic.
机译:当前,BitTorrent协议数据包构成Internet上对等应用程序流量的很大一部分。由于BitTorrent流量的增加,已不可避免地要考虑到它对网络管理的影响。通常,有关BitTorrent流量测量的研究涉及对通过IPv4协议传输的数据包的分析。但是,借助IPv6协议提供的几种功能,其在运营网络中的流量日益增加。 IPv6的新功能提高了路由器,交换机和终端系统上的数据包处理速度。我们认为流量特性和分组流量特性可能会随着IPv6协议流量的增加而受到影响。因此,探索IPv6数据包流量特性和基于IPv6的应用流量特性具有重要意义。在这项研究中,我们从自相关,功率谱密度以及数据包大小和数据包到达时间的自相似性方面研究了IPv6 BitTorrent数据包流量特性。我们还为IPv4和IPv6 BitTorrent数据包流量执行分发建模。使用这些模型,可以生成有效的数据包流量跟踪,以进行网络仿真研究。执行详细比较以确定IPv4和IPv6 BitTorrent数据包流量之间的差异。

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