A review on Fog Computing technology

Al-Doghman, F; Chaczko, Z; Ajayan, AR; Klempous, R

A review on Fog Computing technology

Al-Doghman, F

Chaczko, Z

Ajayan, AR

Klempous, R

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Publication Type:: Conference Proceeding
Citation:: 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings, 2017, pp. 1525 - 1530
Issue Date:: 2017-02-06

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Field	Value	Language
dc.contributor.author	Al-Doghman, F https://orcid.org/0000-0002-1020-8097	en_US
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.author	Ajayan, AR https://orcid.org/0000-0002-9147-1048	en_US
dc.contributor.author	Klempous, R	en_US
dc.date.issued	2017-02-06	en_US
dc.identifier.citation	2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings, 2017, pp. 1525 - 1530	en_US
dc.identifier.isbn	9781509018970	en_US
dc.identifier.uri	http://hdl.handle.net/10453/91483
dc.description.abstract	© 2016 IEEE. Out of the many computing and software oriented models that are being adopted by Computer Networking, Fog Computing has captured quite a wide audience in Research and Industry. There is a lot of confusion on its precise definition, position, role and application. The Internet of Things (IOT), todays' digitized intelligent connectivity domain, demands real time response in many applications and services. This renders Fog Computing a suitable platform for achieving goals of autonomy and efficiency. This paper is a justification of the concepts, interest, approaches, and practices of Fog Computing. It describes the need for adopting this new model and investigate its prime features by elucidating the scenarios for implementing it, thereby outlining its significance in the IoT world.	en_US
dc.relation.ispartof	2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings	en_US
dc.relation.isbasedon	10.1109/SMC.2016.7844455	en_US
dc.title	A review on Fog Computing technology	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. Out of the many computing and software oriented models that are being adopted by Computer Networking, Fog Computing has captured quite a wide audience in Research and Industry. There is a lot of confusion on its precise definition, position, role and application. The Internet of Things (IOT), todays' digitized intelligent connectivity domain, demands real time response in many applications and services. This renders Fog Computing a suitable platform for achieving goals of autonomy and efficiency. This paper is a justification of the concepts, interest, approaches, and practices of Fog Computing. It describes the need for adopting this new model and investigate its prime features by elucidating the scenarios for implementing it, thereby outlining its significance in the IoT world.

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http://hdl.handle.net/10453/91483