Gradually reconfiguring virtual network topologies based on estimated traffic matrices

  • Authors:
  • Yuichi Ohsita;Takashi Miyamura;Shin'ichi Arakawa;Shingo Ata;Eiji Oki;Kohei Shiomoto;Masayuki Murata

  • Affiliations:
  • Graduate School of Economics, Osaka University, Osaka, Japan;NTT Service Systems Laboratories, NTT Corporation, Tokyo, Japan;Graduate School of Information Science and Technology, Osaka University, Osaka, Japan;Graduate School of Engineering, Osaka City University, Osaka, Japan;Department of Information and Communication Engineering, The University of Electro-Communications, Tokyo, Japan;NTT Service Systems Laboratories, NTT Corporation, Tokyo, Japan;Graduate School of Information Science and Technology, Osaka University, Osaka, Japan

  • Venue:
  • IEEE/ACM Transactions on Networking (TON)
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

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.