DPSO算法在服务网格资源调度中的应用  

Application of Discrete Particle Swarm Optimization Algorithm to Service Grid Resource Optimization Scheduling

作　　者：廖宁[1] 刘建勋[1] 王俊年[1] 

机构地区：[1]湖南科技大学,湖南湘潭411201

出　　处：《计算机技术与发展》2009年第8期104-106,109,共4页Computer Technology and Development

基　　金：国家自然科学基金项目(60673119;90818004);国家863/CIMS项目(2006AA04Z152);南京大学计算机软件新技术国家重点实验室开放基金项目

摘　　要：服务网格结合了Web服务技术和网格技术,代表了应用网格的发展方向。在这类网格中,有大量的应用在运行,这些应用又共享网格的各种资源,资源优化调度能使这些应用获得最大的性能,也是影响网格计算能否成功的最重要的因素之一。在建立服务网格资源调度数学模型的基础上,应用离散微粒群优化算法(DPSO),在给定约束下寻找服务网格环境下资源和任务间的最优的映射关系,达到资源优化调度的目的。通过MATLAB进行模拟仿真实验,验证了该方法的可行性。Service grid is a combination of Web services technology and grid technology, which is representative of the direction of the application grid＇s development. In these grids there are vast running applications,which are sharing all kinds of resources of grids. Resource optimization scheduling will enable these applications to maximize performance, the impact of grid computing is also the success of one of the most important factor. Presents a mathematical model based on service grid resource scheduling. Discrete particle swarm optimization algorithm （DPSO） is proposed, which search the optimal mapped relation of serving grid resource and task according to restriction. The MATLAB simulation experiment is validated, and the method is feasible.

关 键 词：服务网格 资源调度 离散微粒群优化算法 多目标优化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]