Load Balancing for Energy Harvesting Mobile Edge Computing

With the development of cloud computing, the energy harvesting Mobile Edge Computing has emerged and attracted widespread attentions, due to its decentralized services. In this paper, we focus on the load balancing in MEC with energy harvesting. Specifically, we first formalize the load balancing in MEC as a problem of minimizing both the energy consumption and queue redundancy. Thereafter, we adapt such a optimization problem to the Lyapunov algorithm and solve this optimization problem, namely computing the optimal load balancing strategy. Finally, extensive simulation results validate that the obtained load balancing strategy improves the calculating service capabilities of MEC systems (Zhao P, Tao J, Rauf A, et al. Load Balancing for Energy Harvesting Mobile Edge Computing[J]. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2021, 104(1): 336–342. Copyright (c)2016 IEICE.).