Fuzzy-Grey Prediction based Dynamic Failure Detection Service For Grid System
Fuzzy logic and grey theory,combined with adaptive heartbeat mechanism,are integrated to implement an adaptive failure detection service for grid systems.A GM (1,1) unified-dimensional new message model,which only needs a small volume of sample data,is used to predict heartbeat arrival time dynamically.Since prediction error is inevitable,a two-input (residual ratio and message loss rate),one-output (compensation value) fuzzy controller is designed to learn how to compensate for the output from the grey model,and the roughly determined fuzzy rule base is tuned by a reward-punishment learning principle.Experimental results show the availability and validity of the failure detection service in detail.
grey prediction fuzzy controller failure detection grid system
Xiaobo Ji Fan Zeng Min Zhang
Department of Information,Research Institute of Field Surgery,Daping Hospital,Third Military Medical College of Computer Science,Chongqing University,Chongqing,China Centre of Experimentation,Department of Logistical Information Engineering,Logistical Engineering Un
国际会议
太原
英文
415-419
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）