Approach of Dynamic Grid Service Selection Based on Self-adapting Algorithm
Liangyin Chen · Jisuanji gongcheng · 2007
In order to improve the efficiency of grid service selection,a new approach based on Q-learning is proposed.A new model based on Markov decision processes is proposed and the correlative novel algorithm is implemented with the adaptive ability of improved Q-learning for dynamic grid service selection.The experiment results show that the method is more effective than the traditional ones.Thus,it provides a good solution for grid service selection.