北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2013, Vol. 36 ›› Issue (3): 64-68.doi: 10.13190/jbupt.201303.66.yangs

• 论文 • 上一篇    下一篇

内容感知光网络及其资源分配

杨松, 张晓光, 席丽霞, 赵东鹤   

  1. 1. 北京邮电大学 信息光子学与光通信研究院, 北京 100876;
    2. 北京邮电大学 信息光子学与光通信国家重点实验室, 北京 100876
  • 收稿日期:2012-07-17 出版日期:2013-06-30 发布日期:2013-06-30
  • 作者简介:杨 松(1975—), 男, 博士生, E-mail: y14681@sina. com; 张晓光(1961—), 男, 教授, 博士生导师.
  • 基金资助:

    国家自然科学基金项目(61205065); 高等学校博士学科点专项科研基金项目(20110005110014); 山东省自然基金项目(ZR2010FM043)

Content Aware Based Optical Network Traffic and Resource Allocation

YANG Song, ZHANG Xiao-guang, XI Li-xia, ZHAO Dong-he   

  1. 1. Institute of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2012-07-17 Online:2013-06-30 Published:2013-06-30

摘要:

提出采用应用层内容识别技术,围绕深度报文检测技术,在对业务进行内容感知识别和优先级划分的基础上,结合通信网业务模型分析方法,实现对光网络波长等资源细粒度有效分配,使光网络资源与高层应用业务需求更好适配. 结合排队论,分析并建立该新型光网络业务模型,通过实验显示出对协议的识别粒度,并以此进行有效的光网络资源分配.

关键词: 光网络, 内容感知, 排队论, Poisson业务, 自相似业务

Abstract:

A combination of application layer content identification and deep packet inspection is proposed to realize efficient fine-grained allocation of resources. A better adaption of optical network resources with high-layer application needs is achieved. With network traffic model analysis and packets content-aware, this technology prioritizes different traffic loads. Based on queuing theory, a new optical network traffic model is built and analyzed. Experiments testify the effective optical network resource allocation.

Key words: optical network, content aware, queuing theory, Poisson traffic, self-similar traffic

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