NN-SA Based Dynamic Failure Detector for Services Composition in Distributed Environment

摘要：

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 NNSA 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.

关键词： failure predict service composition neural network simulation annealing

作者: Changze Wu Kaigui Wu Li Feng Dong Tian

作者单位: College of Computer Science, ChongQing University, ChongQing, China

会议类型: 国际会议

会议名称: 6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)

会议地点: 重庆

会议语种:英文

页码: 443-450

在线出版日期: 2010-11-19（万方平台首次上网日期，不代表论文的发表时间）