AI and Computing Horizons: Cloud and Edge in the Modern Era

Author:

Prangon Nasif Fahmid1ORCID,Wu Jie1ORCID

Affiliation:

1. Center for Networked Computing, Department of Computer and Information Sciences, Temple University, Philadelphia, PA 19122, USA

Abstract

Harnessing remote computation power over the Internet without the need for expensive hardware and making costly services available to mass users at a marginal cost gave birth to the concept of cloud computing. This survey provides a concise overview of the growing confluence of cloud computing, edge intelligence, and AI, with a focus on their revolutionary impact on the Internet of Things (IoT). The survey starts with a fundamental introduction to cloud computing, overviewing its key parts and the services offered by different service providers. We then discuss how AI is improving cloud capabilities through its indigenous apps and services and is creating a smarter cloud. We then focus on the impact of AI in one of the popular cloud paradigms called edge cloud and discuss AI on Edge and AI for Edge. We discuss how AI implementation on edge devices is transforming edge and IoT networks by pulling cognitive processing closer to where the data originates, improving efficiency and response. We also discuss major cloud providers and their service offerings within the ecosystem and their respective use cases. Finally, this research looks ahead at new trends and future scopes that are now becoming possible at the confluence of the cloud, edge computing, and AI in IoT. The purpose of this study is to demystify edge intelligence, including cloud computing, edge computing, and AI, and to focus on their synergistic role in taking IoT technologies to new heights.

Funder

NSF

Publisher

MDPI AG

Reference64 articles.

1. The cloud computing paradigm: Characteristics, opportunities and research issues;Giordanelli;Ist. Calc. Reti Ad Alte Prestazioni (ICAR),2010

2. Machine learning (ML)-centric resource management in cloud computing: A review and future directions;Khan;J. Netw. Comput. Appl.,2022

3. Edge computing vs. Cloud computing: An overview of big data challenges and opportunities for large enterprises;Sriram;Int. Res. J. Mod. Eng. Technol. Sci.,2022

4. Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review;Rosendo;J. Parallel Distrib. Comput.,2022

5. Barbuto, V., Savaglio, C., Chen, M., and Fortino, G. (2023). Disclosing edge intelligence: A systematic meta-survey. Big Data Cogn. Comput., 7.

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