Impulse response model for grid task and predictive control strategy
网格任务的脉冲响应模型与预测控制调度策略

The feedback control policy is employed to solve the grid task scheduling problem. According to the parallelism of tasks, a task impulse response model is developed to represent the relation between the task acceptance speed and the grid resource usage. In order to reduce the adverse effect of dynamic uncertainties on tasks processing, a predictive control strategy is used to adjust the task acceptance speed online; and an artificial immune algorithm is used to maximize the throughput of the grid. Results of simulation study show the validity of the proposed model and the effectiveness of the algorithm.