A Metropolis Criterion Based Fuzzy Markov Game Flow Controller for High-speed Networks

摘要：

For the congestion problems in high-speed networks, a Metropolis criterion based fuzzy Markov game flow controller (MFMC) is proposed. Because of the uncertainties and highly time-varying, it is not easy to accurately obtain the complete information for high-speed networks. In this case, the fuzzy Markov game, which is independent of mathematic model, and prior-knowledge, has good performance. It offers a promising platform for robust control in the presence of the bounded external disturbances. The Metropolis criterion can cope with the balance between exploration and exploitation in action selecting. Simulation results show that the proposed controller can learn to take the best action to regulate source flow with the features of high throughput and low packet loss ratio, and can avoid the occurrence of congestion effectively.

关键词： flow control high-speed network Markov game

作者: Xin Li Haibin Yu

作者单位: Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China Shenyang Institute of Automation,Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China

会议类型: 国际会议

会议名称: 2010 International Conference on Digital Manufacturing and Automation(2010 数字制造与自动化国际会议 ICDMA 2010)

会议地点: 长沙

会议语种:英文

页码: 42-45

在线出版日期: 2010-12-18（万方平台首次上网日期，不代表论文的发表时间）