Characteristic Analysis and Modeling of P2PTV Traffic

2016 International Conference on Information Science and Security (ICISS) Pub Date : 2016-12-01 DOI:10.1109/ICISSEC.2016.7885846

Naoki Takeuchi, T. Miyoshi, Olivier Fourmaux

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引用次数: 2

Abstract

In recent years, video traffic has been increasing due to the huge demands of video streaming services. Peer-to-peer (P2P) video streaming services (P2PTV) have attracted attention as a solution to decrease the server load because P2P communication can distribute the video data to peers. However, the random peer selection mechanisms of P2PTV conduce to the worldwide spread of P2PTV traffic, and thus it is a large issue to analyze the characteristics of P2PTV traffic. Several traffic measurements have been studied and revealed the characteristics of P2PTV traffic. However, these studies did not focus on users' behavior that has influence on traffic and also did not construct a P2PTV traffic model. In this paper, we analyzed the characteristics of P2PTV traffic that occur in watching a content to construct the P2PTV traffic model of each user. Moreover, we discussed how to model the P2PTV traffic. As a result, we can revealed several characteristics of P2PTV traffic such as the stable traffic and the bursty traffic. Furthermore, we extracted some statistical information and stated modeling the P2PTV traffic.

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p2p电视流量特征分析与建模

近年来，由于视频流服务的巨大需求，视频流量不断增加。点对点视频流服务(P2PTV)作为一种减少服务器负载的解决方案受到了人们的关注，因为P2P通信可以将视频数据分发给对等端。然而，p2p网络的随机对等选择机制使得p2p网络流量在全球范围内传播，因此分析p2p网络流量的特征是一个很大的问题。研究了几种流量测量并揭示了p2p流量的特征。然而，这些研究并没有关注用户行为对流量的影响，也没有构建P2PTV流量模型。本文通过分析某一内容观看过程中出现的p2p流量特征，构建每个用户的p2p流量模型。此外，我们还讨论了如何对p2p流量进行建模。由此可以看出p2p网络流量具有稳定流量和突发流量的特点。此外，我们提取了一些统计信息，并陈述了P2PTV流量的建模。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 International Conference on Information Science and Security (ICISS)

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