Grid load balancing scheduling algorithm based on statistics thinking
一种基于统计思想的网格负载平衡调度算法

Aiming at the hierarchical grid model structure, following statistical thinking, this paper proposed a new resource allocation and task scheduling algorithm, which could not only increase the utilization of resources and system throughput, but also realize the load balancing within grid systems. This algorithm consisted of three main modules which were load tracking module, job distributing module and load monitoring module. On the basis of having explained the functions of the different functional parts and the relationships between them, gave the corresponding pseudo-code algorithms. The results of simulative experiments show that the algorithm is effective.