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Edge Computing for Internet of Everything: A Survey
IEEE Internet of Things Journal ( IF 8.2 ) Pub Date : 8-22-2022 , DOI: 10.1109/jiot.2022.3200431
Xiangjie Kong 1 , Yuhan Wu 2 , Hui Wang 2 , Feng Xia 3
Affiliation  

In this era of the Internet of Everything (IoE), edge computing has emerged as the critical enabling technology to solve a series of issues caused by an increasing amount of interconnected devices and large-scale data transmission. However, the deficiencies of edge computing paradigm are gradually being magnified in the context of IoE, especially in terms of service migration, security and privacy preservation, and deployment issues of edge node. These issues can not be well addressed by conventional approaches. Thanks to the rapid development of upcoming technologies, such as artificial intelligence (AI), blockchain, and microservices, novel and more effective solutions have emerged and been applied to solve existing challenges. In addition, edge computing can be deeply integrated with technologies in other domains (e.g., AI, blockchain, 6G, and digital twin) through interdisciplinary intersection and practice, releasing the potential for mutual benefit. These promising integrations need to be further explored and researched. In addition, edge computing provides strong support in applications scenarios, such as remote working, new physical retail industries, and digital advertising, which has greatly changed the way we live, work, and study. In this article, we present an up-to-date survey of the edge computing research. In addition to introducing the definition, model, and characteristics of edge computing, we discuss a set of key issues in edge computing and novel solutions supported by emerging technologies in IoE era. Furthermore, we explore the potential and promising trends from the perspective of technology integration. Finally, new application scenarios and the final form of edge computing are discussed.

中文翻译:


万物互联的边缘计算:调查



在万物互联时代,边缘计算成为解决互联设备数量不断增加和大规模数据传输带来的一系列问题的关键使能技术。然而,边缘计算范式的缺陷在万物互联的背景下逐渐被放大,特别是在服务迁移、安全和隐私保护、边缘节点的部署问题等方面。这些问题无法通过传统的方法得到很好的解决。由于人工智能(AI)、区块链和微服务等新兴技术的快速发展,新颖且更有效的解决方案已经出现并被应用于解决现有挑战。此外,边缘计算还可以通过跨学科的交叉和实践,与其他领域的技术(如人工智能、区块链、6G、数字孪生等)进行深度融合,释放互利共赢的潜力。这些有前景的整合需要进一步探索和研究。此外,边缘计算在远程办公、新实体零售行业、数字广告等应用场景中提供了强有力的支撑,极大地改变了我们的生活、工作和学习方式。在本文中,我们提出了边缘计算研究的最新调查。除了介绍边缘计算的定义、模型和特征之外,我们还讨论了边缘计算的一系列关键问题以及万物互联时代新兴技术支持的新颖解决方案。此外,我们从技术集成的角度探讨了潜力和有前景的趋势。最后讨论了边缘计算的新应用场景和最终形态。
更新日期:2024-08-22
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