云计算任务调度算法研究  

Study of task scheduling algorithm on cloud computing

作　　者：黄少荣[1] 

机构地区：[1]广东司法警官职业学院信息管理系,广州510520

出　　处：《沈阳师范大学学报（自然科学版）》2015年第3期417-422,共6页Journal of Shenyang Normal University:Natural Science Edition

基　　金：广东省科技厅自然科学基金资助项目(101754539192000000)

摘　　要：云计算是一种新型的商业计算模式,应用大规模的虚拟化资源通过计算机网络向用户提供不同服务。云计算面对的用户众多,系统要处理的任务量与数据量十分巨大,并且云计算系统结构复杂,对大量任务进行高效调度是云计算中一个必须解决的难题。云计算任务调度算法决定了用户任务的执行效率和系统资源的使用效率,直接关系到云计算系统的整体稳定性和整体效果。在对云计算任务调度算法的相关研究现状进行深入分析和研究的基础上,从模型高效和算法高效2个层面上指出未来云计算任务调度算法的发展趋势,提出构建基于多目标优化的云计算任务调度模型。Cloud computing is a new business computing model which uses large-scale virtualized resources to provide services through the computer network.In the cloud computing environment,the users are multitudinous,and the number of tasks and the amounts of data are huge,and the structure of cloud computing system is very complex,and it is a difficult problem to be resolved to schedule tasks efficiently.Task scheduling algorithm determines the execution efficiency of user tasks and use efficiency of system resources,and is directly related to the integral stability and overall effect.After the analysis and comparison of the cloud computing scheduling strategies,based on two aspects of model efficiency and algorithm efficiency,this paper points out the development trend of cloud computing task scheduling algorithm,and proposes cloud computing task scheduling model based on multi-objective optimization.

关 键 词：云计算 任务调度 启发式算法 多目标优化 群智能 

分 类 号：TP306.1[自动化与计算机技术—计算机系统结构]