Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms

Contrary to using distant and centralized cloud data center resources, employing decentralized resources at the edge of a network for processing data closer to user devices, such as smartphones and tablets, is an upcoming computing paradigm, referred to as fog/edge computing. Fog/edge resources are...

Full description

Saved in:
Bibliographic Details
Published in:ACM computing surveys 2020-09, Vol.52 (5), p.1-37
Main Authors: Hong, Cheol-Ho, Varghese, Blesson
Format: Article
Language:English
Subjects:
Algorithms
Cloud computing
Computer architecture
Computer science
Data centers
Data processing
Documents
Edge computing
Electronic devices
Infrastructure
Resource management
Tablet computers
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c215t-14abf64334d3b2a84482af74ab2cccb601cded99f773da294a1de59e9110765f3
container_end_page 37
container_issue 5
container_start_page 1
container_title ACM computing surveys
container_volume 52
creator Hong, Cheol-Ho
Varghese, Blesson
description Contrary to using distant and centralized cloud data center resources, employing decentralized resources at the edge of a network for processing data closer to user devices, such as smartphones and tablets, is an upcoming computing paradigm, referred to as fog/edge computing. Fog/edge resources are typically resource-constrained, heterogeneous, and dynamic compared to the cloud, thereby making resource management an important challenge that needs to be addressed. This article reviews publications as early as 1991, with 85% of the publications between 2013 and 2018, to identify and classify the architectures, infrastructure, and underlying algorithms for managing resources in fog/edge computing.
doi_str_mv 10.1145/3326066
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2317025070</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2317025070</sourcerecordid><originalsourceid>FETCH-LOGICAL-c215t-14abf64334d3b2a84482af74ab2cccb601cded99f773da294a1de59e9110765f3</originalsourceid><addsrcrecordid>eNotkE1Lw0AYhBdRMFbxLwQ8iIfY993P5iihVaEiiJ6XzX6EFPPhbnLw3xtpTwPDw8wwhNwiPCJysWaMSpDyjGQohCoU43hOMmASCmAAl-QqpQMAUI4yIw8fPg1ztD5_M71pfOf7KW_7fDc0661rfF4N3ThPbd9ck4tgvpO_OemKfO22n9VLsX9_fq2e9oWlKKYCuamD5Ixxx2pqNpxvqAlqcam1tpaA1nlXlkEp5gwtuUHnRelLRFBSBLYid8fcMQ4_s0-TPiwD-6VSU4YKqAAFC3V_pGwcUoo-6DG2nYm_GkH__6BPP7A_0gVMxg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2317025070</pqid></control><display><type>article</type><title>Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms</title><source>Association for Computing Machinery:Jisc Collections:ACM OPEN Journals 2023-2025 (reading list)</source><source>Business Source Ultimate (EBSCOHost)</source><creator>Hong, Cheol-Ho ; Varghese, Blesson</creator><creatorcontrib>Hong, Cheol-Ho ; Varghese, Blesson</creatorcontrib><description>Contrary to using distant and centralized cloud data center resources, employing decentralized resources at the edge of a network for processing data closer to user devices, such as smartphones and tablets, is an upcoming computing paradigm, referred to as fog/edge computing. Fog/edge resources are typically resource-constrained, heterogeneous, and dynamic compared to the cloud, thereby making resource management an important challenge that needs to be addressed. This article reviews publications as early as 1991, with 85% of the publications between 2013 and 2018, to identify and classify the architectures, infrastructure, and underlying algorithms for managing resources in fog/edge computing.</description><identifier>ISSN: 0360-0300</identifier><identifier>EISSN: 1557-7341</identifier><identifier>DOI: 10.1145/3326066</identifier><language>eng</language><publisher>Baltimore: Association for Computing Machinery</publisher><subject>Algorithms ; Cloud computing ; Computer architecture ; Computer science ; Data centers ; Data processing ; Documents ; Edge computing ; Electronic devices ; Infrastructure ; Resource management ; Tablet computers</subject><ispartof>ACM computing surveys, 2020-09, Vol.52 (5), p.1-37</ispartof><rights>Copyright Association for Computing Machinery Oct 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c215t-14abf64334d3b2a84482af74ab2cccb601cded99f773da294a1de59e9110765f3</cites><orcidid>0000-0003-4730-950X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Hong, Cheol-Ho</creatorcontrib><creatorcontrib>Varghese, Blesson</creatorcontrib><title>Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms</title><title>ACM computing surveys</title><description>Contrary to using distant and centralized cloud data center resources, employing decentralized resources at the edge of a network for processing data closer to user devices, such as smartphones and tablets, is an upcoming computing paradigm, referred to as fog/edge computing. Fog/edge resources are typically resource-constrained, heterogeneous, and dynamic compared to the cloud, thereby making resource management an important challenge that needs to be addressed. This article reviews publications as early as 1991, with 85% of the publications between 2013 and 2018, to identify and classify the architectures, infrastructure, and underlying algorithms for managing resources in fog/edge computing.</description><subject>Algorithms</subject><subject>Cloud computing</subject><subject>Computer architecture</subject><subject>Computer science</subject><subject>Data centers</subject><subject>Data processing</subject><subject>Documents</subject><subject>Edge computing</subject><subject>Electronic devices</subject><subject>Infrastructure</subject><subject>Resource management</subject><subject>Tablet computers</subject><issn>0360-0300</issn><issn>1557-7341</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNotkE1Lw0AYhBdRMFbxLwQ8iIfY993P5iihVaEiiJ6XzX6EFPPhbnLw3xtpTwPDw8wwhNwiPCJysWaMSpDyjGQohCoU43hOMmASCmAAl-QqpQMAUI4yIw8fPg1ztD5_M71pfOf7KW_7fDc0661rfF4N3ThPbd9ck4tgvpO_OemKfO22n9VLsX9_fq2e9oWlKKYCuamD5Ixxx2pqNpxvqAlqcam1tpaA1nlXlkEp5gwtuUHnRelLRFBSBLYid8fcMQ4_s0-TPiwD-6VSU4YKqAAFC3V_pGwcUoo-6DG2nYm_GkH__6BPP7A_0gVMxg</recordid><startdate>20200930</startdate><enddate>20200930</enddate><creator>Hong, Cheol-Ho</creator><creator>Varghese, Blesson</creator><general>Association for Computing Machinery</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0003-4730-950X</orcidid></search><sort><creationdate>20200930</creationdate><title>Resource Management in Fog/Edge Computing</title><author>Hong, Cheol-Ho ; Varghese, Blesson</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c215t-14abf64334d3b2a84482af74ab2cccb601cded99f773da294a1de59e9110765f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Cloud computing</topic><topic>Computer architecture</topic><topic>Computer science</topic><topic>Data centers</topic><topic>Data processing</topic><topic>Documents</topic><topic>Edge computing</topic><topic>Electronic devices</topic><topic>Infrastructure</topic><topic>Resource management</topic><topic>Tablet computers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hong, Cheol-Ho</creatorcontrib><creatorcontrib>Varghese, Blesson</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>ACM computing surveys</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hong, Cheol-Ho</au><au>Varghese, Blesson</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms</atitle><jtitle>ACM computing surveys</jtitle><date>2020-09-30</date><risdate>2020</risdate><volume>52</volume><issue>5</issue><spage>1</spage><epage>37</epage><pages>1-37</pages><issn>0360-0300</issn><eissn>1557-7341</eissn><abstract>Contrary to using distant and centralized cloud data center resources, employing decentralized resources at the edge of a network for processing data closer to user devices, such as smartphones and tablets, is an upcoming computing paradigm, referred to as fog/edge computing. Fog/edge resources are typically resource-constrained, heterogeneous, and dynamic compared to the cloud, thereby making resource management an important challenge that needs to be addressed. This article reviews publications as early as 1991, with 85% of the publications between 2013 and 2018, to identify and classify the architectures, infrastructure, and underlying algorithms for managing resources in fog/edge computing.</abstract><cop>Baltimore</cop><pub>Association for Computing Machinery</pub><doi>10.1145/3326066</doi><tpages>37</tpages><orcidid>https://orcid.org/0000-0003-4730-950X</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0360-0300
ispartof ACM computing surveys, 2020-09, Vol.52 (5), p.1-37
issn 0360-0300
1557-7341
language eng
recordid cdi_proquest_journals_2317025070
source Association for Computing Machinery:Jisc Collections:ACM OPEN Journals 2023-2025 (reading list); Business Source Ultimate (EBSCOHost)
subjects Algorithms
Cloud computing
Computer architecture
Computer science
Data centers
Data processing
Documents
Edge computing
Electronic devices
Infrastructure
Resource management
Tablet computers
title Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T17%3A57%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Resource%20Management%20in%20Fog/Edge%20Computing:%20A%20Survey%20on%20Architectures,%20Infrastructure,%20and%20Algorithms&rft.jtitle=ACM%20computing%20surveys&rft.au=Hong,%20Cheol-Ho&rft.date=2020-09-30&rft.volume=52&rft.issue=5&rft.spage=1&rft.epage=37&rft.pages=1-37&rft.issn=0360-0300&rft.eissn=1557-7341&rft_id=info:doi/10.1145/3326066&rft_dat=%3Cproquest_cross%3E2317025070%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c215t-14abf64334d3b2a84482af74ab2cccb601cded99f773da294a1de59e9110765f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2317025070&rft_id=info:pmid/&rfr_iscdi=true