A Multi-agent Controller to enable Cognition in Software Defined Networks

Chemalamarri, VD; Braun, R; Lipman, J; Abolhasan, M

A Multi-agent Controller to enable Cognition in Software Defined Networks

Chemalamarri, VD Braun, R

Lipman, J

Abolhasan, M

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Publication Type:: Conference Proceeding
Citation:: 2018 28th International Telecommunication Networks and Applications Conference, ITNAC 2018, 2019
Issue Date:: 2019-01-16

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Field	Value	Language
dc.contributor.author	Chemalamarri, VD	en_US
dc.contributor.author	Braun, R https://orcid.org/0000-0002-4153-8769	en_US
dc.contributor.author	Lipman, J https://orcid.org/0000-0003-2877-1168	en_US
dc.contributor.author	Abolhasan, M https://orcid.org/0000-0002-4282-6666	en_US
dc.date.issued	2019-01-16	en_US
dc.identifier.citation	2018 28th International Telecommunication Networks and Applications Conference, ITNAC 2018, 2019	en_US
dc.identifier.isbn	9781538671771	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132287
dc.description.abstract	© 2018 IEEE. Current SDN controllers are not cognitive. We propose a new architecture for an SDN controller to enable intelligence. The proposed new architecture is based on Multi-agent systems. As a prototype, we have built a MAS-SDN controller using the GOAL agent programming language. We highlight the motivation behind the new architecture, describe the architecture and provide some initial results.	en_US
dc.relation.ispartof	2018 28th International Telecommunication Networks and Applications Conference, ITNAC 2018	en_US
dc.relation.isbasedon	10.1109/ATNAC.2018.8615227	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A Multi-agent Controller to enable Cognition in Software Defined Networks	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
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/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. Current SDN controllers are not cognitive. We propose a new architecture for an SDN controller to enable intelligence. The proposed new architecture is based on Multi-agent systems. As a prototype, we have built a MAS-SDN controller using the GOAL agent programming language. We highlight the motivation behind the new architecture, describe the architecture and provide some initial results.

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http://hdl.handle.net/10453/132287