• DocumentCode
    1488833
  • Title

    Gradually Reconfiguring Virtual Network Topologies Based on Estimated Traffic Matrices

  • Author

    Ohsita, Yuichi ; Miyamura, Takashi ; Arakawa, Shinichi ; Ata, Shingo ; Oki, Eiji ; Shiomoto, Kohei ; Murata, Masayuki

  • Author_Institution
    Grad. Sch. of Econ., Osaka Univ., Toyonaka, Japan
  • Volume
    18
  • Issue
    1
  • fYear
    2010
  • Firstpage
    177
  • Lastpage
    189
  • Abstract
    Traffic matrix is essential to traffic engineering (TE) methods. Because it is difficult to monitor traffic matrices directly, several methods for estimating them from link loads have been proposed. However, estimated traffic matrix includes estimation errors which degrade the performance of TE significantly. In this paper, we propose a method that reduces estimation errors while reconfiguring the virtual network topology (VNT) by cooperating with the VNT reconfiguration. In our method, the VNT reconfiguration is divided into multiple stages instead of reconfiguring the suitable VNT at once. By dividing the VNT reconfiguration into multiple stages, our traffic matrix estimation method calibrates and reduces the estimation errors in each stage by using information monitored in prior stages. We also investigate the effectiveness of our proposal using simulations. The results show that our method can improve the accuracy of the traffic matrix estimation and achieve an adequate VNT as is the case with the reconfiguration using the actual traffic matrices.
  • Keywords
    multiprotocol label switching; network topology; telecommunication network management; telecommunication traffic; GMPLS; estimation errors; traffic engineering methods; traffic matrix estimation method; virtual network topology reconfiguration; GMPLS; traffic engineering; traffic matrix estimation; virtual network topology (VNT);
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/TNET.2009.2022263
  • Filename
    5272256