Orchestration in Fog Computing: A Comprehensive Survey

Author:

Costa Breno1ORCID,Bachiega Joao1,de Carvalho Leonardo Rebouças1,Araujo Aleteia P. F.1ORCID

Affiliation:

1. University of Brasilia, Asa Norte, Brasilia, DF, Brazil

Abstract

Fog computing is a paradigm that brings computational resources and services to the network edge in the vicinity of user devices, lowering latency and connecting with cloud computing resources. Unlike cloud computing, fog resources are based on constrained and heterogeneous nodes whose connectivity can be unstable. In this complex scenario, there is a need to define and implement orchestration processes to ensure that applications and services can be provided, considering the settled agreements. Although some publications have dealt with orchestration in fog computing, there are still some diverse definitions and functional intersection with other areas, such as resource management and monitoring. This article presents a systematic review of the literature with focus on orchestration in fog computing. A generic architecture of fog orchestration is presented, created from the consolidation of the analyzed proposals, bringing to light the essential functionalities addressed in the literature. This work also highlights the main challenges and open research questions.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference159 articles.

1. Fog computing micro datacenter based dynamic resource estimation and pricing model for IoT;Aazam Mohammad;Proceedings - International Conference on Advanced Information Networking and Applications, AINA,2015

2. Offloading in fog computing for IoT: Review, enabling technologies, and research opportunities

3. IoT Resource-aware Orchestration Framework for Edge Computing

4. A review on Fog Computing technology

5. FocusStack: Orchestrating Edge Clouds Using Location-Based Focus of Attention

Cited by 59 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