Optimal placement of applications in the fog environment: A systematic literature review

Islam, MM; Ramezani, F; Lu, HY; Naderpour, M

Optimal placement of applications in the fog environment: A systematic literature review

Islam, MM Ramezani, F

Lu, HY Naderpour, M

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Publisher:: ACADEMIC PRESS INC ELSEVIER SCIENCE
Publication Type:: Journal Article
Citation:: Journal of Parallel and Distributed Computing, 2023, 174, pp. 46-69
Issue Date:: 2023-04-01

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Field	Value	Language
dc.contributor.author	Islam, MM
dc.contributor.author	Ramezani, F https://orcid.org/0000-0002-0368-321X
dc.contributor.author	Lu, HY
dc.contributor.author	Naderpour, M https://orcid.org/0000-0002-3549-3875
dc.date.accessioned	2024-02-01T03:36:30Z
dc.date.available	2024-02-01T03:36:30Z
dc.date.issued	2023-04-01
dc.identifier.citation	Journal of Parallel and Distributed Computing, 2023, 174, pp. 46-69
dc.identifier.issn	0743-7315
dc.identifier.issn	1096-0848
dc.identifier.uri	http://hdl.handle.net/10453/175208
dc.description.abstract	The fog-computing paradigm complements cloud computing to support the deployment and execution of latency-sensitive applications at the network edge by offering enhanced computational power. Optimal placement of such applications over a fog network comprising geographically distributed, heterogeneous, and resource-constrained fog nodes is a core challenge in fog-computing paradigm research. This study systematically reviews existing research on optimal fog application placement over the cloud-to-thing continuum. Surveyed articles are analyzed in four aspects: i) layers of the cloud-to-thing continuum considered for placing an application; ii) application characteristics that are considered in making placement decisions; iii) application placement mechanism; iv) tools and technology for placing an application. This review also categorizes the research problems associated with fog application placement. Finally, based on this review, we suggest directions for future adaptive fog-application placement research.
dc.language	English
dc.publisher	ACADEMIC PRESS INC ELSEVIER SCIENCE
dc.relation.ispartof	Journal of Parallel and Distributed Computing
dc.relation.isbasedon	10.1016/j.jpdc.2022.12.001
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0803 Computer Software, 0805 Distributed Computing
dc.subject.classification	Distributed Computing
dc.subject.classification	4606 Distributed computing and systems software
dc.title	Optimal placement of applications in the fog environment: A systematic literature review
dc.type	Journal Article
utslib.citation.volume	174
utslib.for	0803 Computer Software
utslib.for	0805 Distributed Computing
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2024-02-01T03:36:29Z
pubs.publication-status	Published
pubs.volume	174

Abstract:

The fog-computing paradigm complements cloud computing to support the deployment and execution of latency-sensitive applications at the network edge by offering enhanced computational power. Optimal placement of such applications over a fog network comprising geographically distributed, heterogeneous, and resource-constrained fog nodes is a core challenge in fog-computing paradigm research. This study systematically reviews existing research on optimal fog application placement over the cloud-to-thing continuum. Surveyed articles are analyzed in four aspects: i) layers of the cloud-to-thing continuum considered for placing an application; ii) application characteristics that are considered in making placement decisions; iii) application placement mechanism; iv) tools and technology for placing an application. This review also categorizes the research problems associated with fog application placement. Finally, based on this review, we suggest directions for future adaptive fog-application placement research.

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http://hdl.handle.net/10453/175208