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

作　　者：LIN Rongheng WU Budan YANG Fangchun ZHAO Yao HOU 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》2014年第4期1-12,共12页中国通信（英文版）

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.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：failure detection volterra filter decision tree SELF-ADAPTIVE cloud platform 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置] TH17[自动化与计算机技术—控制科学与工程]