A three-dimensional probabilistic fuzzy control system for network queue management
Yun ZHANG
Zhi LIU
Yaonan WANG
摘要：A novel probabilistic fuzzy control system is proposed to treat the congestion avoidance problem in trans-mission control protocol(TCP) networks.Studies on traffic measurement of TCP networks have shown that the packet traffic exhibits long range dependent properties called self-similarity,which degrades the network performance greatly.The probabilistic fuzzy control(PFC) system is used to handle the complex stochastic features of self-similar traffic and the modeling uncertainties in the network system.A three-dimensional(3-D) membership function(MF) is embedded in the PFC to express and describe the stochastic feature of network traffic.The 3-D MF has extended the traditional fuzzy planar mapping and further provides a spatial mapping among "fuzziness-randomness-state".The additional stochastic expression of 3-D MF provides the PFC an additional freedom to handle the stochastic features of self-similar traffic.Simulation ex-periments show that the proposed control method achieves superior performance compared to traditional control schemes in a stochastic environment.
机标关键词：managementnetwork performancefuzzy control systemtraditionaltraffic measurementfeaturescontrol protocolcontrol schemes
资助基金：the National Natural Science Foundation of China(U0735003)the National Natural Science Foundation of China(60604006)Natural Science Foundation of Guangdong Province(8351009001000002)Natural Science Foundation of Guangdong Province(6021452)
论文发表日期：2009-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：6( 29-34 )
英文信息