基于网格技术的校园网作业服务模型和调度算法

为了消除校园网的信息孤岛，降低资源浪费，实现资源充分共享，提出了基于网格技术的校园网作业服务模型，并设计和实现了基于可信度遗传策略的作业调度方法。该算法充分结合遗传算法的优点，从而使调度系统具有了一定的自主性和智能性。实验结果表明该算法收敛速度快，全局寻优能力强，整体性能优于遗传算法和Min-min作业调度算法。

Job service model and scheduling algorithm based on grid technology in campus network

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.