Energy-aware Service Function Chaining Embedding in NFV Networks

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

6 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)1158-1171
Number of pages14
Journal / PublicationIEEE Transactions on Services Computing
Volume16
Issue number2
Online published25 Mar 2022
Publication statusPublished - Mar 2023

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Abstract

Network function virtualization (NFV) is a new networking paradigm based on decoupling network functions from dedicated hardware, so these network functions can be run as pieces of software on general-purpose computation servers, which are called virtual network functions. In addition to guarantee the service qualities provided by NFV networks comparable to those provided by traditional telecommunication networks, energy consumption becomes one of the challenges faced by NFV. This is due to a large number of general computation servers that consume a significant amount of energy. We address here the problem of how to provide an energy-aware service function chaining (SFC) embedding in NFV networks with a hierarchical resource allocation, where an SFC has a set of virtual network functions to be executed in a specific sequential order providing a specific network service. Assuming a dynamic traffic scenario, we introduce for this new problem an integer linear programming (ILP) and three polynomial heuristic algorithms for resource allocation. All three heuristic algorithms achieve energy savings by shutting down idle devices and balance the tradeoff between energy cost and SFC request acceptance ratio. Numerical results demonstrate the quality of the proposed heuristic algorithms in terms of acceptance ratio by comparing them with the ILP method and a method extended from an exiting algorithm despite the fact that they save energy. © 2022 IEEE.

Research Area(s)

  • Network function virtualization, service function chaining embedding, energy-aware

Citation Format(s)

Energy-aware Service Function Chaining Embedding in NFV Networks. / Lin, Rongping; He, Liu; Luo, Shan et al.
In: IEEE Transactions on Services Computing, Vol. 16, No. 2, 03.2023, p. 1158-1171.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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