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Journal of Shanghai University（Natural Science Edition）

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Convergence of End-to-End Rate-Based I-D Congestion Control Algorithm

JIN Yan-liang1, YANG Yu-hang2, JIANG Yi-fan1   

  1. 1. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China; 2. Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200030, China

  • Received:2007-01-29 Revised:1900-01-01 Online:2007-08-20 Published:2007-08-20
  • Contact: JIN Yan-liang

Abstract: Efficiency and fairness convergence of endtoend ratebased IncreaseDecrease (ID) congestion control algorithms are studied. Convergence time of different congestion control algorithms is computed. Some effective formulae are developed. The analysis results obtained can provide a guideline for design of the congestion control protocol.

Key words: congestion control algorithm, convergence, rate-based

CLC Number: