Green process offloading in smart home
Smart home applications are becoming increasingly popular due to the explosive growth of intelligent devices in recent years. However, such applications require extra computing resources. In this paper, the task offloading management in the smart home scenarios are investigated in micro and macro scales. First, the optimal process of different applications is determined to be offloaded from the smart home controller to the cloud system. Second, a policy in the home gateway is proposed to select the best server in the cloud to dynamically offloading the computing tasks considering energy saving while satisfying the applications QoS metrics. Using queuing theoretical approach, we model the smart home application execution time at macro level considering the applications QoS constraints. Then, we apply duality theory to find the optimal offloading ratio. Moreover, an optimal interface/server selection is investigated to minimize the energy consumption. On the other hand, Lyapunov drift optimization is applied at micro level to find the optimal performance point of the smart home applications in real time. The effectiveness and optimality of our proposed algorithms are evaluated by experiments over realistic smart home scenarios.