• DocumentCode
    172239
  • Title

    An approach for efficient, accurate, and timely estimation of traffic matrices

  • Author

    Hongbin Luo ; Zhe Chen ; Jianbo Cui ; Hongke Zhang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2014
  • fDate
    April 27 2014-May 2 2014
  • Firstpage
    67
  • Lastpage
    72
  • Abstract
    Network operators desire to obtain accurate evaluations of the traffic matrices of their networks because they are critical inputs to many network functions such as traffic engineering, capacity provisioning and anomaly detection. Under the current Internet architecture, however, it is extremely challenging to precisely measure the traffic between an ingress and egress node pair. In this paper, we argue that a future Internet should make it easy for network operators to be aware of the accurate traffic matrices of their networks in an efficient and timely manner. In particular, we present the requirements for TM estimation and the corresponding implications on the future Internet architecture. Based on these implications, we then present a future Internet architecture that makes it easy to accurately, efficiently, and timely estimate traffic matrices. We also present numerical results to demonstrate the performance of the architecture in estimating traffic matrices.
  • Keywords
    Internet; telecommunication traffic; Internet architecture; TM estimation; anomaly detection; capacity provisioning; egress node; ingress node; network functions; network operators; traffic engineering; traffic matrices estimation; Color; Estimation; Image color analysis; Internet; Peer-to-peer computing; Registers; Routing; Traffic matrix estimation; efficiency; future Internet architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications Workshops (INFOCOM WKSHPS), 2014 IEEE Conference on
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2014.6849170
  • Filename
    6849170