移动云动态应用分流决策及传输调度优化研究

本项目研究无线智能终端移动性、计算资源和能量储备有限性对移动云计算的影响及其改善移动云计算性能的理论与方法。综合考虑应用分流的执行时间、传输功耗和执行功耗等代价因素，结合传输链路特性的动态变化、移动端和云端任务队列的动态性，运用李亚普诺夫优化理论研究应用分流决策，基于排队理论研究应用分流的动态传输调度方案，并通过博弈论和多目标优化进行综合的应用分流决策与传输调度。为扩展无线智能终端计算能力，减少无线智能终端能量消耗，增强用户体验提供理论支撑。

The effect of wireless smart terminal mobility, restricted computing resource, limited energy reservation for Mobile Cloud Computing (MCC) is researched. In order to expand the computation ability as well as minimize the energy consumption of wireless smart terminals to enhance user experience, this project studies the theories and methods to improve the performance of MCC. Combining the random character of the transmission link, the task queue dynamics of mobile terminal and the cloud, the cost factors as execution time, transmission power consumption and executive power consumption of application offloading is considered. An application offloading decision-making scheme and a transmission scheduling algorithm based on Lyapunov theory and queuing theory are proposed. Finally, a joint optimization of the application offloading decision-making and transmission scheduling based on game theory and multiple-objective optimization theory is studied.