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Adaptive Bandwidth Allocation Method for Long Range Dependence Traffic

  • Bong Joo Kim
  • Gang Uk Hwang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4268)

Abstract

In this paper, we propose a new method to allocate bandwidth adaptively according to the amount of input traffic volume for a long range dependent traffic requiring Quality of Service (QoS). In the proposed method, we divide the input process, which is modelled by an M/G/∞ input process, into two sub-processes, called a long time scale process and a short time scale process. For the long time scale process we estimate the required bandwidth using the linear prediction. Since the long time scale process varies (relatively) slowly, the required bandwidth doesn’t need to be estimated frequently. On the other hand, for the short time scale process, we use the large deviation theory to estimate the effective bandwidth of the short time scale process based on the required QoS of the input traffic. By doing this we can capture the short time scale fluctuation by a buffer and the long time scale fluctuation by increasing or decreasing the bandwidth adaptively. Through simulations we verify that our proposed method performs well to satisfy the required QoS.

Keywords

Service Time Minimum Mean Square Error Require Bandwidth Input Process Minimum Mean Square Error Linear 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Bong Joo Kim
    • 1
  • Gang Uk Hwang
    • 1
  1. 1.Division of Applied Mathematics and Telecommunication ProgramKorea Advanced Institute of Science and TechnologyTaejeonSouth Korea

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