移动边缘计算卸载技术研究综述

doi:10.11896/jsjkx.250100058

Abstract

Abstract: With the continuous evolution of the IoT and 5G technologies,data traffic has shown an unprecedented explosive growth trend.Against this backdrop,the traditional centralized cloud computing model can no longer meet the requirements of low latency and low energy consumption for terminal data processing.MEC can provide immediate services at the source of data generation,has gradually become the most optimal solution to this problem.As a core component of MEC technology,the performance of computing offloading is affected by various factors.Optimizing computing offloading to enhance performance has become the focus of global researchers’ attention.This paper aims to deeply explore the computing offloading technology of MEC.Firstly,it reviews the development history of MEC and elaborates on the concepts and architectures of MEC and computing offloading.Secondly,starting from the practical applications of computing offloading technology in different scenarios,it discusses the current research status and introduces the optimization technologies related to computing offloading.Finally,it analyzes the challenges faced by computing offloading technology and looks ahead to the future research directions of MEC computing offloa-ding technology,so as to point out the direction for subsequent research work.

Key words: Mobile edge computing, Computing offloading, Offloading decision, Resource allocation, Computing optimization

CLC Number:

TP393

HUAN Haisheng, ZHAO Peng, CHEN Nuo, KA Zuming. Review of Offloading Technologies Research in Mobile Edge Computing[J].Computer Science, 2026, 53(2): 367-378.

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