NN-SA based dynamic failure detector for services composition in distributed environment

Authors:
Changze Wu;Kaigui Wu;Li Feng;Dong Tian
Affiliations:
College of Computer Science, ChongQing University, ChongQing, China;College of Computer Science, ChongQing University, ChongQing, China;College of Computer Science, ChongQing University, ChongQing, China;College of Computer Science, ChongQing University, ChongQing, China
Venue:
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Year:
2010

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Abstract

Neural network(NN) and simulation annealing algorithm(SA), combined with adaptive heartbeat mechanism, are integrated to implement an adaptive failure detector for services composition in distributed environment. The simulation annealing algorithm has the strong overall situation optimization ability, therefore in this article a NN-SA model, which connect simulation annealing algorithm and the BP neural network algorithm, is proposed, to predict heartbeat arrival time dynamically. It overcome the flaw running into the partial minimum of the BP neural network. Experimental results show the availability and validity of the failure detector in detail.