Joint Virtual Network Function Selection and Traffic Steering in Telecom Networks

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

Joint Virtual Network Function Selection and Traffic Steering in Telecom Networks

Jiao, S Zhang, X Yu, S

Song, X 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	Jiao, S	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	Song, X	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/10453/133576
dc.description.abstract	© 2017 IEEE. Following the trend of Network Function Virtualization (NFV), telecom operators widely deploy diverse types of Virtual Network Functions (VNF) (such as firewall, load balancer, and proxy, etc.) on specified software-defined middlebox at various network locations. Traffic needs to go through the desired VNFs according to pre-defined policies, which forms a Service Function Chain (SFC). However, how to maximize traffic throughput with end-to-end latency guaranteed when steering SFC requests is still an open problem. To this end, we study a joint optimization of VNF selection and traffic steering problem in telecom networks. Firstly, we formulate this problem as an Integer Linear Programming (ILP) model. Then, we design an efficient heuristic algorithm based on dynamic programming. Extensive simulation results show that compared with the previous algorithms, our algorithm can increase 30.86% throughput of SFC requests while guaranteeing end-to-end latency requirement.	en_US
dc.relation.ispartof	2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings	en_US
dc.relation.isbasedon	10.1109/GLOCOM.2017.8254652	en_US
dc.title	Joint Virtual Network Function Selection and Traffic Steering in Telecom 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. Following the trend of Network Function Virtualization (NFV), telecom operators widely deploy diverse types of Virtual Network Functions (VNF) (such as firewall, load balancer, and proxy, etc.) on specified software-defined middlebox at various network locations. Traffic needs to go through the desired VNFs according to pre-defined policies, which forms a Service Function Chain (SFC). However, how to maximize traffic throughput with end-to-end latency guaranteed when steering SFC requests is still an open problem. To this end, we study a joint optimization of VNF selection and traffic steering problem in telecom networks. Firstly, we formulate this problem as an Integer Linear Programming (ILP) model. Then, we design an efficient heuristic algorithm based on dynamic programming. Extensive simulation results show that compared with the previous algorithms, our algorithm can increase 30.86% throughput of SFC requests while guaranteeing end-to-end latency requirement.

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http://hdl.handle.net/10453/133576