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Performance Analysis of a Congestion cControl Mechanism Based on Active-WRED Under Multi-classes Traffic  

Kim, Hyun-Jong (Dept. of Radio Science & Engineering, Chungbuk National University)
Kim, Jong-Chan (Dept. of Radio Science & Engineering, Chungbuk National University)
Choi, Seong-Gon (School of Electrical & Computer Engineering, Chungbuk Nation University)
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Abstract
In this paper, we propose active queue management mechanism (Active-WRED) to guarantee quality of the high priority service class in multi-class traffic service environment. In congestion situation, this mechanism increases drop probability of low priority traffic and reduces the drop probability of the high priority traffic, therefore it can improve the quality of the high priority service. In order to analyze the performance of our mechanism we introduce the stochastic analysis of a discrete-time queueing systems for the performance evaluation of the Active Queue Management (AQM) based congestion control mechanism called Weighted Random Early Detection (WRED) using a two-state Markov-Modulated Bernoulli arrival process (MMBP-2) as the traffic source. A two-dimensional discrete-time Harkov chain is introduced to model the Active-WRED mechanism for two traffic classes (Guaranteed Service and Best Effort Service) where each dimension corresponds to a traffic class with its own parameters.
Keywords
QoS;
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