期刊名称：International Journal of Computer Science and Network Solutions
印刷版ISSN：2345-3397
出版年度：2014
卷号：2
期号：11
页码：32-38
出版社：International Journal of Computer Science and Network Solutions
摘要：One of the fundamental issues in this environment is related to task scheduling. A good task schedulershould adapt its scheduling strategy to the changing environment and the types of tasks. It gives a betterway of scheduling jobs in restricted conditions. Since the number of cloud users need different kind ofvirtual machines as per the requirement and cloud provider provides these services as per the ServiceLevel Agreement to ensure Quality of service. Many methods to resolve this problem has been came intoexistence like PSO, genetic algorithms and other kind of task scheduling. In this Article it has beenproposed a method based on Ant Colony optimization to resolve the problem of load balancing in cloudcomputing
