Analytical modeling and comparison of AQM-based congestion control mechanisms

Abstract

Active Queue Management (AQM) is an effective mechanism to support end-to-end traffic congestion control in modem high-speed networks. The selection of different dropping functions and threshold values required for this scheme plays a critical role on its effectiveness. This paper proposes an analytical performance model for AQM using various dropping functions. The model uses a well-known Markov-Modulated Poisson Process (MMPP) to capture traffic burstiness and correlations. Extensive analytical results have indicated that exponential dropping function is a good choice for AQM to support efficient congestion control. © Springer-Verlag Berlin Heidelberg 2005.