基于移动Agent技术的网格负载均衡调度方法

Load Balancing Scheduling Method Based on Mobile Agent Technology in Grid Computing

为了实现网格计算资源的动态自适应性管理和负载均衡调度,将移动Agent技术引入网格资源管理,并提出了一种基于Agent的网格资源调度模型.在该模型基础上,采用遗传克隆算法解决网格计算中的任务调度问题.仿真实验表明该算法不仅充分发挥了Agent的智能性、自主性,还具有良好的扩展性,提高了网格资源调度的效率.

In order to make the grid resource management dynamic and load balance scheduling, mobile agent technology is applied to manage grid resources and a model of resource management is provided based on mobile agent technology in this paper. According to this model, genetic cloanl algorithm is applied to solve the problem of task scheduling in grid. Experimental results indicate that this algorithm makes use of the merits of agent, i.e., intelligence and autonomy, and further improves the scalability of the resource scheduling.