Abstract
Active Queue Management (AQM) is an effective mechanism to support end-to-end traffic congestion control in modern 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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Wang, L., Min, G., Awan, I. (2005). Analytical Modeling and Comparison of AQM-Based Congestion Control Mechanisms. In: Yang, L.T., Rana, O.F., Di Martino, B., Dongarra, J. (eds) High Performance Computing and Communications. HPCC 2005. Lecture Notes in Computer Science, vol 3726. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11557654_10
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DOI: https://doi.org/10.1007/11557654_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29031-5
Online ISBN: 978-3-540-32079-1
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