期刊文献+

P2P技术分析和大数据P2P识别方案设想

A Scheme of P2P Traffic Identification Based on Big Data
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摘要 P2P技术广泛应用于各种Internet应用,P2P方式产生的流量是运营商网络中主要成分之一,并促进宽带网络超常规发展。本文汇总分析P2P技术特点、P2P流量特点及P2P流量识别和控制技术,提出基于大数据系统进行深度流量分析(DFI)的思路,以进一步提高对网络流量的掌控力度,支撑企业流量经营工作。 As P2P mechanism has been widely used inlots of Internet applications, the traffic characterizedby P2P features dominates the capacity of the carriers'bandwidth, which is one of the main driving factors tothe surprising development of the bandwidth. This article summarizes the features of P2P mechanism andthe P2P traffic, also the developing technologies ofP2P identifying and controlling. A kind of technologyof Deep Flow Identify based on big data technology isprovided in order to help the ISP network OAM.
作者 廖江
出处 《现代电信科技》 2014年第3期57-62,共6页 Modern Science & Technology of Telecommunications
关键词 对等协议 P2P网络 Flow 流量 大数据 Peer-to-Peer, P2P network, flow, traffic,big data
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参考文献5

  • 1IANA. IANA port number list [EB/OL]. http://www.iana.org/assignments/port-numbers.
  • 2T Karagiannis, A Broido, M Faloutsos, et.al. Transport Layer Identicationof P2P Trafic[C].In ACMIMC, 2004.
  • 3上海电信2012 年数据分析挖掘系统二期建设项目可行性研究报告[R],2012(12).
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  • 5F Constantinou, P Mavrommatis. Identifying Known and UnknownPeer-to-Peer Traffic [C]. Network Computing and Applications, 2006.NCA 2006. Fifth IEEE International Symposium on 24-26 July 2006.

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