How to reduce energy consumption, improve resource utilization and put forward efficient resource management model so as to improve the media cloud performance and mobile users’ quality of service (QoS) is the problem needed to be addressed. Our proposed media cloud distributed scheduling model aims to maximize the utility of media cloud. The media cloud distributed scheduling policy for resource-intensive mobile application includes media service provisioning and cloud resource scheduling among media cloud datacenter. The media cloud service scheduling optimization algorithms include two sub-algorithms. The practical example of video streaming service for mobile users is also given. The experiments study the performance of media cloud distributed scheduling algorithm and related algorithms. The experiment results show that proposed algorithm has better performance than related algorithms.

中文翻译：

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面向资源密集型移动应用的媒体云服务调度优化

如何降低能耗，提高资源利用率，提出高效的资源管理模式，从而提高媒体云性能和移动用户的服务质量（QoS），是亟待解决的问题。我们提出的媒体云分布式调度模型旨在最大化媒体云的效用。资源密集型移动应用的媒体云分布式调度策略包括媒体服务提供和媒体云数据中心之间的云资源调度。媒体云服务调度优化算法包括两个子算法。还给出了面向移动用户的视频流服务的实际示例。实验研究了媒体云分布式调度算法及相关算法的性能。