An Offloading Approach in Fog Computing Environment

Abstract

Fog computing has emerged as a promising infrastructure to provide elastic resources at the proximity of mobile users. Currently, to offload some computational tasks from mobile devices to Fog servers comes the main stream to improve the quality of experience (QoE) of mobile users. In fact, due to the high speed for moving vehicles on expressway, there would be a lot of candidate Fog servers in Fog environment for them to offload their computational workload. However, which Fog server should be selected to utilize and how much computation should be offloaded so as to meet the corresponding task's deadline without large computing bill are still lack of discussion. To address this problem, we propose a deadline-aware and cost effective offloading approach which aims to improve offloading efficiency for vehicles, and let more tasks meet their deadlines in this paper. The proposed approach has been validated its feasibility and efficiency by extensive experiments.