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An adaptive algorithm for active queue management
Authors:Chonggang Wang  Yu Lin  Kazem Sohraby  Bo Li
Institution:(1) Department of Electrical Engineering, University of Arkansas, Fayetteville, AR, 72701;(2) School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China;(3) Department of Computer Science, The Hong Kong Univ. of Science and Technology, Hong Kong, China
Abstract:This paper proposes an adaptive proportional integral (API) algorithm for active queue management. API uses mean packet loss ratio and mean queue length as control error to adaptively adjust packet drop probability in order to expedite congestion control. The extensive simulations validate that API achieves faster control response and improved performance in terms of goodput, average queue length, and packet loss ratio.
Keywords:Quality of service  Active queue management  Congestion control
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