Fog node discovery and selection: A Systematic literature review

Bukhari, A; Hussain, FK; Hussain, OK

Fog node discovery and selection: A Systematic literature review

Bukhari, A

Hussain, FK Hussain, OK

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Future Generation Computer Systems, 2022, 135, pp. 114-128
Issue Date:: 2022-10-01

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Field	Value	Language
dc.contributor.author	Bukhari, A https://orcid.org/0000-0001-9072-9978
dc.contributor.author	Hussain, FK
dc.contributor.author	Hussain, OK
dc.date.accessioned	2023-03-24T00:40:48Z
dc.date.available	2023-03-24T00:40:48Z
dc.date.issued	2022-10-01
dc.identifier.citation	Future Generation Computer Systems, 2022, 135, pp. 114-128
dc.identifier.issn	0167-739X
dc.identifier.uri	http://hdl.handle.net/10453/168295
dc.description.abstract	Fog computing is a new computing paradigm that extends cloud services by providing computing resources in the form of fog nodes closer to the edge devices. Fog computing supports mobility, location-awareness, low latency, and saves network bandwidth to efficiently process and store the data generated by edge devices. A prerequisite to achieve these aims is first the discovery of optimal fog nodes before selecting the most appropriate one/s. To achieve these aims, there are various selection criteria that need to be satisfied. The aim of this study is to provide a detailed overview of the state of the art in the area of fog node discovery and selection. To achieve this aim, we first define the different requirements that need to be met in identifying optimal fog nodes. We then identify the existing literature between 2014–2021 and compare them against the defined requirements in identifying optimal fog nodes. Based on the analysis, we present the gaps and open issues in the existing literature relating to optimal fog node discovery and selection.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Future Generation Computer Systems
dc.relation.isbasedon	10.1016/j.future.2022.04.034
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0803 Computer Software, 0805 Distributed Computing, 0806 Information Systems
dc.subject.classification	Distributed Computing
dc.title	Fog node discovery and selection: A Systematic literature review
dc.type	Journal Article
utslib.citation.volume	135
utslib.for	0803 Computer Software
utslib.for	0805 Distributed Computing
utslib.for	0806 Information Systems
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	*
dc.date.updated	2023-03-24T00:40:46Z
pubs.publication-status	Published
pubs.volume	135

Abstract:

Fog computing is a new computing paradigm that extends cloud services by providing computing resources in the form of fog nodes closer to the edge devices. Fog computing supports mobility, location-awareness, low latency, and saves network bandwidth to efficiently process and store the data generated by edge devices. A prerequisite to achieve these aims is first the discovery of optimal fog nodes before selecting the most appropriate one/s. To achieve these aims, there are various selection criteria that need to be satisfied. The aim of this study is to provide a detailed overview of the state of the art in the area of fog node discovery and selection. To achieve this aim, we first define the different requirements that need to be met in identifying optimal fog nodes. We then identify the existing literature between 2014–2021 and compare them against the defined requirements in identifying optimal fog nodes. Based on the analysis, we present the gaps and open issues in the existing literature relating to optimal fog node discovery and selection.

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http://hdl.handle.net/10453/168295