Job service model and scheduling algorithm based on grid technology in campus network
基于网格技术的校园网作业服务模型和调度算法

In order to eliminate the isolated information, share distributed resources and save relevant cost in the campus network, a model that used the grid technology to schedule job was designed and implemented, and a job scheduling method was designed based on reliability genetic strategy. This algorithm integrated the advantage of genetic algorithm, which enabled scheduling system to exhibit a certain degree of self-determination and intellectuality. From the analysis and experimental result, it is concluded that it has the characteristics of rapid convergence, good global search capacity, and is superior to genetic algorithm and Min-min algorithm as well.