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Performance prediction for Grid workflow activities based on features-ranked RBF network
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作者 王洁 Duan Rubing Farrukh Nadeem 《High Technology Letters》 EI CAS 2009年第2期203-207,共5页
Accurate performance prediction of Grid workflow activities can help Grid schedulers map activitiesto appropriate Grid sites.This paper describes an approach based on features-ranked RBF neural networkto predict the p... Accurate performance prediction of Grid workflow activities can help Grid schedulers map activitiesto appropriate Grid sites.This paper describes an approach based on features-ranked RBF neural networkto predict the performance of Grid workflow activities.Experimental results for two kinds of real worldGrid workflow activities are presented to show effectiveness of our approach. 展开更多
关键词 performance prediction radial basis function (RBF) neural network features rank Grid workflow activities
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