移动云计算中能效感知的计算卸载机制研究

Mobile cloud computing can significantly enhance computation capability of mobile devices by offloading computation from the mobile devices onto the cloud. How to achieve energy-efficient computation offloading remains a challenge issue. For solving this problem, with reducing energy consumption and shorting application completion time as an objective, this algorithm was proposed. The algorithm will formulate computation offloading problem into the energy-eficiency cost minimization problem while satisfying the task-dependency requirements and the completion deadline constraint. And, a dynamic and energy-aware computation offloading algorithm is presented. The algorithm consists of three sub-algorithm of computation offloading selection, clock frequency control and transimission power allocation. Experimental results show that the algorithm can effective reduce the energy-eficiency cost by optimally adjusting the CPU clock frequency of mobile devices in local computing, and adapting the transmission power in cloud computing while ensures to satisfy the constraints and enhance the scheduling efficiency.