Task Offloading Strategy Based on Improving Edge Server Computing Resources

The popularity of edge computing makes up for the lack of computing power of cloud computing in the era of massive data. Besides, computation task offload to mobile edge severs which can effectively reduce the energy consumption and transmission delay. Plenty of research shows that a suitable task offloading schedule can optimize the performance of an application system. However, Computing resource utilization of edge devices is a major factor affecting task offloading. It is a key factor to the system load balancing. Making full use of edge computing resources is beneficial to save computation resource, energy efficiency and load balancing. Furthermore, it helps unlock the potential performance of the system. Aim to this, we proposed a balance offloading strategy in this paper. We not only ensure the success rate of task offloading but also improves the utilization of computing resources on edge devices. The success rate of task offloading is nearly the greedy strategy. And the utilization of edge computing resources is better than other strategies proposed in this paper.