Evolutionary Marking Algorithm : Improving Robustness and Responsiveness of Congestion Control

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概要

• 論文の詳細を見る

• Evolutionary learning methods have been applied to a variety of different problems. In this paper, a new algorithm for active queue management based on an evolutionary learning model is proposed. This novel algorithm generates packet marks for the purpose of improving robustness and responsiveness of congestion control in the Internet routers, while maintaining a reasonable degree of queueing performance such as utilization, delay, and packet drops due to buffer overflow. Simulation results demonstrate the effectiveness of the proposed algorithm and compare the performance of various algorithms.

• 一般社団法人電子情報通信学会の論文
• 2003-02-01

著者

• Lu Mingquan

  Department Of Electronic Engineering Tsinghua University

• Feng Z

  Tsinghua Univ. Beijing Chn

• ZHENG Youquan

  Department of Electronic Engineering, Tsinghua University

• FENG Zhenming

  Department of Electronic Engineering, Tsinghua University

• Zheng Youquan

  Department Of Electronic Engineering Tsinghua University

関連論文

• Performance Evaluation of Adaptive AQM Algorithms in a Variable Bandwidth Network(Internet)
• Evolutionary Marking Algorithm : Improving Robustness and Responsiveness of Congestion Control

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