Aiming at the low efficiency of the current cloud job scheduling algorithms,a hybrid cloud job scheduling algo-rithm based on data mining is proposed to obtain the ideal cloud job scheduling results and provide better service quality for users. The principle of the hybrid cloud job scheduling is analyzed. The reason why the current cloud job scheduling algorithm has poor performance is pointed out. The objective function of cloud job scheduling is established. The data mining technology is used to seek out the most ideal hybrid cloud job scheduling scheme. The performance of the algorithm was verified by means of the specific hybrid cloud job scheduling experiment in CloudSim environment. The results show that the proposed algorithm can improve the success rate of the hybrid cloud job scheduling greatly,and speed up the completion time of the hybrid cloud job, which has high practical application value.%针对当前云作业调度算法效率低的不足,为了获得理想的云作业调度结果,以便给用户提供更好的服务质量,提出基于数据挖掘的混合云作业调度算法.对混合云作业调度的原理进行分析,指出当前云作业调度算法性能差的原因,建立云作业调度的目标函数,并采用数据挖掘技术找到最理想的混合云作业调度方案.在CloudSim环境下,通过具体混合云作业调度实验对算法的性能进行验证.结果表明,该算法不仅大幅度提高了混合云作业调度的成功率,而且加快了混合云作业完成的时间,具有较好的实际应用价值.
展开▼
