Efficient Data Caching and Computation Offloading Strategy for Edge Network

Abstract

We live in a world where huge end devices execute computing on a daily basis. With the growing number of sophisticated apps (e.g., augmented reality and face recognition) that require considerably more computational capacity, they are shifting to mobile cloud computing (MCC), or offloading computation to the cloud. Unfortunately, because the cloud is typically located far away from end devices, latency and quality of experience (QoE) for delay-sensitive applications suffer. Mobile edge computing (MEC) is considered to be a viable solution for meeting the requirement for low latency. Prior works on edge computing mostly focused on computation offloading to support low latency. This paper Jointly considered data caching and computation offloading to support better QoE for end device users. With caching of completed tasks data and offloading of computations at edge cloud using an efficient approach termed as data caching and computation offloading at edge (DCCO-E), the simulation results proved outstanding performance of the DCCO-E against other schemes in terms of low energy consumption and reduced latency.