An Efficient Adaptive Failure Detection Mechanism for Cloud Platform Based on Volterra Series

查看全文 作　　者：LIN Rongheng WU Budan YANG Fangchun ZHAO Yao HOU [1]Jinxuan

机构地区：[1]State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China

出　　处：《China Communications》索引2014年第11卷第4期,共12页

基　　金：supported by the National High-tech Research and Development Program(863) of China under Grant No. 2011AA01A102 摘　　要：Failure detection module is one of important components in fault-tolerant distributed systems,especially cloud platform.However,to achieve fast and accurate detection of failure becomes more and more difficult especially when network and other resources' status keep changing.This study presented an efficient adaptive failure detection mechanism based on volterra series,which can use a small amount of data for predicting.The mechanism uses a volterra filter for time series prediction and a decision tree for decision making.Major contributions are applying volterra filter in cloud failure prediction,and introducing a user factor for different QoS requirements in different modules and levels of IaaS.Detailed implementation is proposed,and an evaluation is performed in Beijing and Guangzhou experiment environment. 关键词：VOLTERRA级数故障预测检测机制自适应平台基 VOLTERRA滤波器时间序列预测检测模块

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An Efficient Adaptive Failure Detection Mechanism for Cloud Platform Based on Volterra Series

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