Energy-Efficient Virtual Network Function Placement in Telecom Networks

Xu, Z; Zhang, X; Yu, S; Zhang, J

Energy-Efficient Virtual Network Function Placement in Telecom Networks

Xu, Z Zhang, X Yu, S

Zhang, J

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Publication Type:: Conference Proceeding
Citation:: IEEE International Conference on Communications, 2018, 2018-May
Issue Date:: 2018-07-27

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Field	Value	Language
dc.contributor.author	Xu, Z	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	Zhang, J	en_US
dc.date.issued	2018-07-27	en_US
dc.identifier.citation	IEEE International Conference on Communications, 2018, 2018-May	en_US
dc.identifier.isbn	9781538631805	en_US
dc.identifier.issn	1550-3607	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133475
dc.description.abstract	© 2018 IEEE. Network Function Virtualization (NFV) is an emerging network architecture, which decouples the software implementation of network functions from the underlying hardware. Telecom operators widely place diverse types of Virtual Network Functions (VNFs) on specified software middlebox. Traffic needs to go through a set of ordered VNFs which forms a Service Function Chain (SFC). However, how to efficiently place VNFs at various network locations while minimizing energy consumption is still an open problem. To this end, we study joint optimization of VNF placement and traffic routing for energy efficiency in telecom networks. We first present the energy model in NFV-enabled telecom networks, and then formulate the studied problem as an Integer Linear Programming (ILP) model. Since the problem is NP-hard, we design a polynomial algorithm using the Markov approximation technique to find the near-optimal result. Extensive simulation results show that our algorithm saves up to 14.84% energy consumption in telecom networks compared with previous VNF placement algorithms.	en_US
dc.relation.ispartof	IEEE International Conference on Communications	en_US
dc.relation.isbasedon	10.1109/ICC.2018.8422879	en_US
dc.title	Energy-Efficient Virtual Network Function Placement in Telecom Networks	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-May	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-May	en_US

Abstract:

© 2018 IEEE. Network Function Virtualization (NFV) is an emerging network architecture, which decouples the software implementation of network functions from the underlying hardware. Telecom operators widely place diverse types of Virtual Network Functions (VNFs) on specified software middlebox. Traffic needs to go through a set of ordered VNFs which forms a Service Function Chain (SFC). However, how to efficiently place VNFs at various network locations while minimizing energy consumption is still an open problem. To this end, we study joint optimization of VNF placement and traffic routing for energy efficiency in telecom networks. We first present the energy model in NFV-enabled telecom networks, and then formulate the studied problem as an Integer Linear Programming (ILP) model. Since the problem is NP-hard, we design a polynomial algorithm using the Markov approximation technique to find the near-optimal result. Extensive simulation results show that our algorithm saves up to 14.84% energy consumption in telecom networks compared with previous VNF placement algorithms.

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http://hdl.handle.net/10453/133475