Resource-Efficient Virtual Network Function Placement in Operator Networks

Song, X; Zhang, X; Yu, S; Jiao, S; Xu, Z

Resource-Efficient Virtual Network Function Placement in Operator Networks

Song, X Zhang, X Yu, S

Jiao, S Xu, Z

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Publication Type:: Conference Proceeding
Citation:: 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings, 2017, 2018-January pp. 1 - 7
Issue Date:: 2017-07-01

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Field	Value	Language
dc.contributor.author	Song, X	en_US
dc.contributor.author	Zhang, X	en_US
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743	en_US
dc.contributor.author	Jiao, S	en_US
dc.contributor.author	Xu, Z	en_US
dc.date.issued	2017-07-01	en_US
dc.identifier.citation	2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings, 2017, 2018-January pp. 1 - 7	en_US
dc.identifier.isbn	9781509050192	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133601
dc.description.abstract	© 2017 IEEE. Network Function Virtualization (NFV) is an emerging network resource utilization approach which decouples network functions from proprietary hardware. To accommodate Service Function Chain (SFC) requests, service providers offer Virtual Network Function (VNF) instances in operator networks. However, how to efficiently place VNFs at various network locations while jointly optimizing computing and communication resource is still an open problem. To this end, we study the resource-efficient VNF placement problem in operator networks. We firstly formulate this problem as an Integer Linear Programming (ILP) model. Then we design an efficient heuristic algorithm named Resource- efficient Virtual Network Function Placement (RVNFP) based on Hidden Markov Model (HMM). Extensive simulation results show that compared with the previous VNF placement algorithms, RVNFP saves up to 12.51% network cost, and achieves a good tradeoff between computing resource cost and communication resource cost.	en_US
dc.relation.ispartof	2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings	en_US
dc.relation.isbasedon	10.1109/GLOCOM.2017.8254492	en_US
dc.title	Resource-Efficient Virtual Network Function Placement in Operator Networks	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-January	en_US
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
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2018-January	en_US

Abstract:

© 2017 IEEE. Network Function Virtualization (NFV) is an emerging network resource utilization approach which decouples network functions from proprietary hardware. To accommodate Service Function Chain (SFC) requests, service providers offer Virtual Network Function (VNF) instances in operator networks. However, how to efficiently place VNFs at various network locations while jointly optimizing computing and communication resource is still an open problem. To this end, we study the resource-efficient VNF placement problem in operator networks. We firstly formulate this problem as an Integer Linear Programming (ILP) model. Then we design an efficient heuristic algorithm named Resource- efficient Virtual Network Function Placement (RVNFP) based on Hidden Markov Model (HMM). Extensive simulation results show that compared with the previous VNF placement algorithms, RVNFP saves up to 12.51% network cost, and achieves a good tradeoff between computing resource cost and communication resource cost.

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http://hdl.handle.net/10453/133601