A Comprehensive Survey on Resource Allocation Strategies in Fog/Cloud Environments

Author:

Vergara Jaime1ORCID,Botero Juan1ORCID,Fletscher Luis1ORCID

Affiliation:

1. Faculty of Engineering, Universidad de Antioquia, Medellín 50010, Colombia

Abstract

The growing number of connected objects has allowed the development of new applications in different areas. In addition, the technologies that support these applications, such as cloud and fog computing, face challenges in providing the necessary resources to process information for different applications due to the highly dynamic nature of these networks and the many heterogeneous devices involved. This article reviews the existing literature on one of these challenges: resource allocation in the fog–cloud continuum, including approaches that consider different strategies and network characteristics. We also discuss the factors influencing resource allocation decisions, such as energy consumption, latency, monetary cost, or network usage. Finally, we identify the open research challenges and highlight potential future directions. This survey article aims to serve as a valuable reference for researchers and practitioners interested in the field of edge computing and resource allocation.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference110 articles.

1. United Nations (2018). Revision of World Urbanization Prospects, United Nations.

2. Gartner (2016). Gartner Says 8.4 Billion Connected “Things” Will Be in Use in 2017, up 31 Percent from 2016, Gartner.

3. Cisco Systems (2018). Cisco Annual Internet Report (2018–2023), Cisco Systems. Technical Report.

4. European Parliament (2020). Digital Agenda for Europe, 2020, European Parliament.

5. IT Strategic Headquarters, Prime Minister’s Office of Japan (2009). iJapan Strategy for 2016, Technical Report.

Cited by 5 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