Disclosing Edge Intelligence: A Systematic Meta-Survey

Author:

Barbuto Vincenzo1ORCID,Savaglio Claudio1ORCID,Chen Min2ORCID,Fortino Giancarlo1ORCID

Affiliation:

1. Department of Computer Science, Modeling, Electronics and Systems Engineering (DIMES), Università della Calabria, Via P. Bucci, 87036 Rende, Italy

2. School of Computer Science and Engineering, South China University of Technology, Guangzhou 510641, China

Abstract

The Edge Intelligence (EI) paradigm has recently emerged as a promising solution to overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the development and provision of next-generation Internet of Things (IoT) services. Therefore, motivated by its increasing popularity, relevant research effort was expended in order to explore, from different perspectives and at different degrees of detail, the many facets of EI. In such a context, the aim of this paper was to analyze the wide landscape on EI by providing a systematic analysis of the state-of-the-art manuscripts in the form of a tertiary study (i.e., a review of literature reviews, surveys, and mapping studies) and according to the guidelines of the PRISMA methodology. A comparison framework is, hence, provided and sound research questions outlined, aimed at exploring (for the benefit of both experts and beginners) the past, present, and future directions of the EI paradigm and its relationships with the IoT and the cloud computing worlds.

Funder

Italian MIUR, PRIN 2017 Project “Fluidware”

European Community’s Horizon Europe Programme

Publisher

MDPI AG

Subject

Artificial Intelligence,Computer Science Applications,Information Systems,Management Information Systems

Reference76 articles.

1. Reinsel, D., Gantz, J., and Rydning, J. (2023, January 30). The Digitization of the World from Edge to Core. Available online: https://www.seagate.com/files/www-content/our-story/trends/files/idc-seagate-dataage-whitepaper.pdf?Tag=Sponsorships.

2. Biswas, A.R., and Giaffreda, R. (2014, January 6–8). IoT and cloud convergence: Opportunities and challenges. Proceedings of the 2014 IEEE World Forum on Internet of Things (WF-IoT), Seoul, Republic of Korea.

3. QoE in IoT: A vision, survey and future directions;Fizza;Discov. Internet Things,2021

4. Updating guidance for reporting systematic reviews: Development of the PRISMA 2020 statement;Page;J. Clin. Epidemiol.,2021

5. A systematic approach to searching: An efficient and complete method to develop literature searches;Bramer;J. Med Libr. Assoc. JMLA,2018

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3