摘要
云计算环境下,用户数量和处理的任务数量庞大,对任务完成时间和满足客户的QoS需求上具有较高要求。针对云计算中资源调度问题进行了研究,在综合考虑运行时间和满足客户QoS需求的情况下,建立了云计算资源调度适应度函数模型,并在最大最小蚁群算法的基础上引进了双向收敛策略。通过在CloudSim平台模拟实验,表明该算法在云计算资源分配上具有较快的收敛速度和较好的QoS服务能力,是一种有效的资源调度算法。
In cloud computing environment,there are a large quantity of users and tasks to be processed, and the requirement to operation time and customer QoS need meeting is rigorous.The problem of cloud computing resource scheduling was studied.In consideration of both operation time and customer’s QoS requirement meeting,the cloud computing resource scheduling fitness function model was established,and the two-way convergence strategy was introduced based on max-min ant colony algorithm.Through simulation experiment with the CloudSim platform,it is shown that the algorithm has rapid convergence speed and fine QoS service ability in cloud computing resources allocation,which is an efficient resource scheduling algorithm.
出处
《电光与控制》
北大核心
2014年第11期93-96,共4页
Electronics Optics & Control
基金
广东省自然科学基金(S2011010001403)
关键词
蚁群算法
资源调度
云计算
服务质量
ant colony algorithm
resource scheduling
cloud computing
quality of service
