Vol.2 No.4 (October 2012)
Task Scheduling in Cloud Environment Based on Improved PSO Algorithm
In a cloud environment, how to map between tasks and resources efficiently has been a hot research topic. Bionic algorithm is widely used in task scheduling optimization, particle swarm optimization algorithm has been paid more attention by virtue of its simple structure, less parameters and easy to achieve. Standard particle swarm optimization algorithm, however, there are more local extreme in cloud computing environment, is prone to make the problem of “premature”, which is due to the lack of population diversity. Therefore, it is very important to maintain the diversity of the population in the search process, the paper put forward the idea of a “separatist”, the experiments show that the method can solve the problem of “premature” well, it is effective to maintain the diversity of the population, and reduce the completion time of the task effectively.
陈廷伟 , 韦 祎 (2012) 云环境下基于改进PSO算法的任务调度策略。 计算机科学与应用， 2， 227-231. doi: 10.12677/CSA.2012.24040
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