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Conference Paper: A Scalable and Distributed Approach for NFV Service Chain Cost Minimization

TitleA Scalable and Distributed Approach for NFV Service Chain Cost Minimization
Authors
Keywordsnetwork function virtualization
ADMM
distributed algorithm
Issue Date2017
PublisherIEEE.
Citation
IEEE 37th International Conference on Distributed Computing Systems, Atlanta, GA, 5-8 June 2017 How to Cite?
AbstractNetwork function virtualization (NFV) represents the latest technology advancement in network service provisioning. Traditional hardware middleboxes are replaced by software programs running on industry standard servers and virtual machines, for service agility, flexibility, and cost reduction. NFV users are provisioned with service chains composed of virtual network functions (VNFs). A fundamental problem in NFV service chain provisioning is to satisfy user demands with minimum system-wide cost. We jointly consider two types of cost in this work: nodal resource cost and link delay cost, and formulate the service chain provisioning problem using nonlinear optimization. Through the method of auxiliary variables, we transform the optimization problem into its separable form, and then apply the alternating direction method of multipliers (ADMM) to design scalable and fully distributed solutions. Through simulation studies, we verify the convergence and efficacy of our distributed algorithm design.
Persistent Identifierhttp://hdl.handle.net/10722/243241
ISSN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, Z-
dc.contributor.authorLi, Z-
dc.contributor.authorWu, C-
dc.contributor.authorHuang, C-
dc.date.accessioned2017-08-25T02:52:06Z-
dc.date.available2017-08-25T02:52:06Z-
dc.date.issued2017-
dc.identifier.citationIEEE 37th International Conference on Distributed Computing Systems, Atlanta, GA, 5-8 June 2017-
dc.identifier.issn1063-6927-
dc.identifier.urihttp://hdl.handle.net/10722/243241-
dc.description.abstractNetwork function virtualization (NFV) represents the latest technology advancement in network service provisioning. Traditional hardware middleboxes are replaced by software programs running on industry standard servers and virtual machines, for service agility, flexibility, and cost reduction. NFV users are provisioned with service chains composed of virtual network functions (VNFs). A fundamental problem in NFV service chain provisioning is to satisfy user demands with minimum system-wide cost. We jointly consider two types of cost in this work: nodal resource cost and link delay cost, and formulate the service chain provisioning problem using nonlinear optimization. Through the method of auxiliary variables, we transform the optimization problem into its separable form, and then apply the alternating direction method of multipliers (ADMM) to design scalable and fully distributed solutions. Through simulation studies, we verify the convergence and efficacy of our distributed algorithm design.-
dc.languageeng-
dc.publisherIEEE.-
dc.relation.ispartofIEEE International Conference on Distributed Computing Systems-
dc.rightsIEEE International Conference on Distributed Computing Systems. Copyright © IEEE.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectnetwork function virtualization-
dc.subjectADMM-
dc.subjectdistributed algorithm-
dc.titleA Scalable and Distributed Approach for NFV Service Chain Cost Minimization-
dc.typeConference_Paper-
dc.identifier.emailWu, C: cwu@cs.hku.hk-
dc.identifier.authorityWu, C=rp01397-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICDCS.2017.210-
dc.identifier.hkuros275485-
dc.identifier.isiWOS:000412759500214-
dc.publisher.placeAtlanta, GA-

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