基于信息素动态调整的云任务调度方法
颜芬芬;王俊英;陈鹏;董方敏;臧兆祥
【期刊名称】《信息通信》 【年(卷),期】2016(000)011
【摘要】To shorten execution time and balance the resource load in cloud computing, ACO with dynamic updating pheromone is presented in this paper. The algorithm take the task size as scheduling sequence, and consider the current task execution time and allocated tasks execution time on the resource. Through dynamic updating pheromone, the improved algorithm has a better search efficiency at the early stage and quickens the convergence in iteration. The result of the improved algorithm can reduce the execution time and has a better result on resource load. It is proved that the improved algorithm is an efficient algorithm.%为使云计算环境中任务处理时间较短，同时资源负载较均衡，提出一种基于信息素动态调整的改进蚁群算法。该算法以任务大小作为任务调度顺序，综合考虑当前任务的完成时间以及资源处理已分配任务花费的时间。通过动态调整信息素挥发程度使算法在前期有较好的寻优能力，后期有较快的收敛速度。结果表明改进后的算法缩短了云环境中的任务完成时间，提高了资源的负载均衡程度，是一种有效的云计算任务调度方法。 【总页数】4页(16-18,19)
【关键词】云计算;蚁群算法;任务调度;信息素动态调整 【作者】颜芬芬;王俊英;陈鹏;董方敏;臧兆祥
基于信息素动态调整的云任务调度方法
