Consumption considered optimal scheme for task offloading in mobile edge computing

Abstract

Mobile edge computing is a new paradigm of cloud computing which distributes the cloud resources to the edge of network and closer to the user. It enables mobile devices to overcome the scarce resource constraint by allowing them to offload computation task to computing resource of the cloud nearby. In this paper, we propose an consumption considered optimal scheme for task offloading in mobile edge computing. The optimal task offloading scheme takes the energy consumption, time delay and execution units cost into consideration, and aims at minimizing the consumption of the mobile device. First, we propose the concept of opportunity consumption and analyze the characteristics of it. Second, we present the system model of mobile edge computing and analysis the energy consumption and time delay in both task offloading and local computing scenes. Then, we design an optimal task offloading model based on above analysis, through the model we can conclude the optimal task scheduling strategy. Finally, we conduct simulations to evaluate the effectiveness of the proposed scheme. The results show that our optimal mechanism can fast complete the task successfully and save energy.