基于超边际分析的分布式资源分配模型

Inframarginal Analysis Based Resource Allocation Method in Distributed Computing

对以充分利用空闲资源为目的的分布式计算环境来说,可用节点具有波动性,网络环境具有不确定性,从而影响计算效率。提出一种基于超边际分析的分布式计算资源分配方法,该方法把计算任务分配到具有比较优势的节点,选择执行能力更强的节点进行计算,提高了分布式计算环境中资源分配的效率。仿真结果表明此方法合理、有效,适用于分布式计算环境。

The key of distributed computing is to fully utilize computing resources.However,the efficiency of distribu-ted computing can always be affected by volatility of available nodes and uncertainty of network environment.In order to enhance resource allocation efficiency in distributed computing,this paper presented an inframarginal analysis based re-source allocation method,which distributes computing task to the node with more comparative advantage carrying on the task.Simulation results proved that it is effective on resource allocation in the distributed computing environment.