Task scheduling in cloud computing based on improved ant colony optimization
Jingli Yang · Jisuanji gongcheng yu sheji · 2013
To deal with problems for task schedule of cloud computing,a design method of task scheduling enhanced ant colony optimization(task scheduling-enhanced ant colony optimization,TS-EACO) algorithm is proposed.A balance of the minimum execution time and load balance of task schedule are gotten of this algorithm.The TS-EACO also absorbs the advantages of some refine ant colony algorithms occurred recent years.An allocation of a task for a virtual machine is an object that the ant would search.Some experiments are done on the CloudSim platform.The results of three different algorithms are compared.The comparison shows the execution time and load balance of TS-EACO are better than those of others.