loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2008 International Conference on Networking, Architecture, and Storage
A Novel Adaptive Failure Detector for Distributed Systems
June 12-June 14
ISBN: 978-0-7695-3187-8
Combining adaptive heartbeat mechanism with fuzzy grey prediction algorithm, a novel implementation of failure detector is presented. The main parts of the implementation are adaptive grey prediction layer and adaptive fuzzy rule-based classification layer. The former layer employs a GM(1,1) unified-dimensional new message model, only needs a small volume of sample data, to predict heartbeat arrival time dynamically. Then, the predict value and the message loss rate in specific period are act as input variations for the latter layer to decide failure/non-failure. Furthermore, algorithms of how to predict arrival time and how to construct adaptive fuzzy rule-based classification system are presented. Experimental results validate the availability of our failure detector in detail.
Index Terms:
failure detector, fuzzy logic, grey theory, distributed system
Citation:
Dong Tian, Kaigui Wu, Xueming Li, "A Novel Adaptive Failure Detector for Distributed Systems," nas, pp.215-221, 2008 International Conference on Networking, Architecture, and Storage, 2008
Usage of this product signifies your acceptance of the Terms of Use.