摘要
针对传统遗传算法易陷入早熟收敛等问题,提出一种改进的元胞自动机遗传算法(CGA),并将其应用于云环境下的资源调度。分析云计算环境中处理用户群请求的庞大任务数及资源合理分配的问题,利用CGA算法寻求一组最优的资源调度方案。在CloudSim仿真平台上进行实验,结果表明,CGA算法能缩短任务完成时间,降低用户总成本,满足云环境下的资源调度要求。
To the problem that traditional Genetic Algorithm（GA） has early convergence,this paper proposes an improved Cellular automata Genetic Algorithm（CGA）,and applies on resource schedule under cloud environment.It makes a discussion on the enormous tasks required by users group and how to allocate resources reasonably,takes use of CGA to search for the optimal resource schedule proposal.Experimental results under the simulator platform CloudSim shows that the algorithm can reduce the whole makespan and decrease the costs of users,which is an effective resource schedule satisfying cloud environment.
出处
《计算机工程》
CAS
CSCD
2012年第11期11-13,共3页
Computer Engineering
关键词
云计算
遗传算法
元胞自动机
遗传算子
资源调度
cloud computing
Genetic Algorithm（GA）
cellular automata
genetic operator
resource schedule
