A Green VNF-FG Embedding Algorithm

Oussama Soualah, Marouen Mechtri, Chaima Ghribi, Djamal Zeghlache

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes an Integer Linear Program (ILP) to address the Virtualized Network Function Forwarding Graph (VNF-FG) placement and chaining problem when VNFs are shared across tenants to optimize resource usage and increase provider revenue. Since ILP approaches do not scale well with problem size, the proposed algorithm selects a limited number of candidate hosts from the infrastructure to control complexity. The proposed on line ILP based heuristic is shown to outperform a tree based algorithm from the state of the art that relies also on sharing of VNFs to improve resource utilization. Results from extensive simulations report the achieved performance improvements in terms of rejection of service requests, energy consumption, scalability and attained revenues. Limiting the number of candidate hosts is an efficient way to tune the ILP to ensure scalability and to find good VNF-FG placement solutions for large problem sizes.

Original languageEnglish
Title of host publication2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages449-455
Number of pages7
ISBN (Print)9781538646335
DOIs
Publication statusPublished - 10 Sept 2018
Externally publishedYes
Event4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018 - Montreal, Canada
Duration: 25 Jun 201829 Jun 2018

Publication series

Name2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018

Conference

Conference4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018
Country/TerritoryCanada
CityMontreal
Period25/06/1829/06/18

Keywords

  • Energy efficiency
  • Integer Linear Program
  • NFV
  • VNF-FG Placement and Chaining

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