期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2016
卷号：9
期号：7
页码：189-200
DOI：10.14257/ijgdc.2016.9.7.20
出版社：SERSC
摘要：An improved ant colony algorithm based on the three constraint conditions that aiming at the problem of resource scheduling in cloud computing is proposed in this paper. this method is divided into three steps: Firstly, we describe the state transition probability by using the information heuristic factor and the expected heuristic factor. Secondly, the pheromone update strategy is used to design the scheduling process. Finally, the optimal path is based on the expected execution time, network delay and network bandwidth of three constraints. Experimental results show that the proposed method has faster execution speed than the traditional ant colony algorithm, and the load balancing of the results is more satisfactory .
