RESEARCH OPTICAL NETWORK TRAFFIC BASED ON THE CONTENT IDENTIFICATION

摘要：

This paper first proposes using the application layer content identification technology, around Deep Packet Inspection technology, on the basis of content identification and priority classification, combining communication network traffic analysis method, realize the efficient allocation of resources fine grit such as the optical network wavelength, enable better matching optical network resource and high-level application business demand. Combining queuing theory, this paper analyzes and establishes the new optical network business model.

关键词： optical network content identification Deep Packet Inspection queuing theory Poisson traffic self-similar traffic

作者: Song Yang Xiaoguang Zhang Lixia Xi Congpeng Lu

作者单位: State Key Laboratory of Information Photonics and Optical Communications,Beijing University of Posts State Key Laboratory of Information Photonics and Optical Communications,Beijing University of Posts

会议类型: 国际会议

会议名称: 2011 4th IEEE International Conference on Broadband Network & Multimedia Technology(第四届IEEE宽带网络与多媒体国际会议 4th IEEE IC-BNMT2011)

会议地点: 深圳

会议语种:英文

页码: 29-32

在线出版日期: 2011-10-28（万方平台首次上网日期，不代表论文的发表时间）