Traffic Matrix Estimation for IP-over-WDM Networks via Optical Bypass Techniques  

作　　者：Laisen Nie Dingde Jiang Lei Guo 

机构地区：[1]School of Computer Science and Engineering,Northeastern University

出　　处：《China Communications》2016年第7期7-15,共9页中国通信（英文版）

基　　金：supported in part by the National Natural Science Foundation of China(Nos.61571104,61071124,61501105);the General Project of Scientific Research of the Education Department of Liaoning Province(No.L20150174);the Program for New Century Excellent Talents in University(No.NCET-11-0075);the Fundamental Research Funds for the Central Universities(Nos.N150402003,N120804004,N130504003,N150404018);the State Scholarship Fund(201208210013)

摘　　要：A traffic matrix is a necessary parameter fornetwork management functions,and itsupplies a flow-level view of a largescale IP-over-WDM backbone network.This paper studies the problem of traffic matrix estimationand proposes an exact traffic matrix estimation approach based on network tomography techniques.The traditional network tomography model is extended to make it compatible with compressive sensing constraints.First,a stochastic perturbation is introduced in the traditional network tomography inference model.Then,an algorithm is proposed to achieve additional optical link observations via optical bypass techniques.The obtained optical link observations are used as extensions for the perturbed network tomography model to ensure that the synthetic model can meetcompressive sensing constraints.Finally,the traffic matrix is estimated from the synthetic model by means of a compressive sensing recovery algorithm.A traffic matrix is a necessary parameter fornetwork management functions,and itsupplies a flow-level view of a largescale IP-over-WDM backbone network.This paper studies the problem of traffic matrix estimationand proposes an exact traffic matrix estimation approach based on network tomography techniques.The traditional network tomography model is extended to make it compatible with compressive sensing constraints.First,a stochastic perturbation is introduced in the traditional network tomography inference model.Then,an algorithm is proposed to achieve additional optical link observations via optical bypass techniques.The obtained optical link observations are used as extensions for the perturbed network tomography model to ensure that the synthetic model can meetcompressive sensing constraints.Finally,the traffic matrix is estimated from the synthetic model by means of a compressive sensing recovery algorithm.

关 键 词：traffic characterization traffic analysis compressive sensing 

分 类 号：TN929.1[电子电信—通信与信息系统]