Telecommunications Science ›› 2011, Vol. 27 ›› Issue (10): 51-56.doi: 10.3639/j.issn.1000-0810.2011.10.011

• Topic: cloud computing technology and application • Previous Articles     Next Articles

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

Jinxuan, Hou,Rongheng Lin,Hua Zou,Fangchun Yang   

  1. State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunication,Beijing 100876,China
    State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunication,Beijing 100876,China
    State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunication,Beijing 100876,China
  • Online:2011-10-15 Published:2011-10-15

Abstract:

Failure detector is one of the key components of distributed system especially for cloud computing platform.However,it becomes much more difficult to achieve rapid and accurate detection due to the changing network status.To deal with this situation,we proposed an adaptive and efficient mechanism for failure detection based on volterra series.The mechanism is based on volterra filter,can make a good time series prediction by using only a few training samples,and can be self-adapted according to the prediction error to make the predictions more accurate.Moreover,the failure detection mechanism proposed can easily meet the QoS requirements of different users by in introducing of the feedback regulatory factor a in the statistical part.

Key words: failure detector, volterra series, self-adaptive, cloud computing platform

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