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多接入边缘计算中物联网任务卸载的综合综述。

A comprehensive review on internet of things task offloading in multi-access edge computing.

作者信息

Dayong Wang, Bin Abu Bakar Kamalrulnizam, Isyaku Babangida, Abdalla Elfadil Eisa Taiseer, Abdelmaboud Abdelzahir

机构信息

Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor 81310, Malaysia.

Department of Computer Science, Faculty of Information Communication Technology, Sule Lamido University, K/Hausa, Jigawa State, Nigeria.

出版信息

Heliyon. 2024 Apr 22;10(9):e29916. doi: 10.1016/j.heliyon.2024.e29916. eCollection 2024 May 15.

DOI:10.1016/j.heliyon.2024.e29916
PMID:38698997
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11064154/
Abstract

With the rapid development of Internet of Things (IoT) technology, Terminal Devices (TDs) are more inclined to offload computing tasks to higher-performance computing servers, thereby solving the problems of insufficient computing capacity and rapid battery consumption of TD. The emergence of Multi-access Edge Computing (MEC) technology provides new opportunities for IoT task offloading. It allows TDs to access computing networks through multiple communication technologies and supports more mobility of terminal devices. Review studies on IoT task offloading and MEC have been extensive, but none of them focus on IoT task offloading in MEC. To fill this gap, this paper provides a comprehensive and in-depth understanding of the algorithms and mechanisms of multiple IoT task offloading in the MEC network. For each paper, the main problems solved by the mechanism, technical classification, evaluation methods, and supported parameters are extracted and analyzed. Furthermore, shortcomings of current research and future research trends are discussed. This review will help potential and new researchers quickly understand the panorama of IoT task offloading approaches in MEC and find appropriate research paths.

摘要

随着物联网（IoT）技术的快速发展，终端设备（TDs）更倾向于将计算任务卸载到高性能计算服务器上，从而解决TD计算能力不足和电池快速消耗的问题。多接入边缘计算（MEC）技术的出现为物联网任务卸载提供了新的机遇。它允许TDs通过多种通信技术接入计算网络，并支持终端设备更高的移动性。关于物联网任务卸载和MEC的综述研究已经很广泛，但都没有聚焦于MEC中的物联网任务卸载。为了填补这一空白，本文对MEC网络中多种物联网任务卸载的算法和机制进行了全面深入的理解。针对每篇论文，提取并分析了该机制解决的主要问题、技术分类、评估方法以及支持的参数。此外，还讨论了当前研究的不足和未来的研究趋势。这篇综述将帮助潜在的新研究人员快速了解MEC中物联网任务卸载方法的全貌，并找到合适的研究路径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/d3335e022a76/gr17.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/d3335e022a76/gr17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/a16fe796dbcc/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/07135e3daf40/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/e929c5b3823c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/42fbfe57ee57/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/bc5942ca4f02/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/c5fa280c43cb/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/e9a93aa5df00/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/7540fd791ab8/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/6ee4ef4b2146/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/84b0ac238208/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/ec9b95531993/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/60a7eb95994c/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/8815ad300bb2/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/42cb313898ac/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/6a59bb153741/gr15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/57ef978a6bf9/gr16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7d/11064154/d3335e022a76/gr17.jpg

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