Abstract: In order to improve the success rate of cloud job scheduling and assure the user’s service quality, a novel cloud jobs scheduling algorithm is proposed based on QoS model aware. Firstly, the cloud jobs are divided into small jobs and large jobs, and the small jobs are scheduled in the private cloud platform, and then the large jobs are in the hybrid cloud platform, and then subtasks with the small weight value in larger jobs will be firstly submitted to a public cloud platform, finally, the simulation experiments are carried out. The results show that the proposed algorithm improves the success rate of jobs scheduling, and reduces the actual completion time of great jobs, can assure the user’s service quality.

Key words: cloud computing, Quality of Service（QoS）-aware model, jobs scheduling, weight

摘要： 为了提高云作业调度的成功率，保证用户的服务质量，提出了一种基于QoS模型感知的云作业调度算法。首先从作业分为大作业和小作业两种，小作业直接在私有云平台中完成调度，然后将大作业在混合云中台上进行调度，并通过权值较小的子任务优选部署到公有云上，最后采用仿真测试实验检验算法的性能。仿真结果表明，相对于其他云作业调度算法，该算法提高了作业调度的成功率，缩短了作业的实际完工时间，获得了满足用户服务质量的云作业调度结果。

关键词: 云计算, 服务质量感知模型, 作业调度, 权值