Study on Safety Scheduling Strategy with Cloud Computing Model

Since the resource provide cannot finish all the task of users, a QoS-driven task scheduling algorithm is proposed. It integrates the advantage of Min-min algorithm in throughput and linear programming global optimization, which takes into account the tasks with higher priority first. Our strategy classifies the tasks according to their length and necessity, to establish task computing resource relation matrix and corresponding constraints. The linear programming model is constructed based on object function. Finally we provide the key process of scheduling algorithm. The simulation show he improved strategy can improve the success rate of task execution and utilization of system resource, shortening the total time to complete the task.