Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Virtual network forwarding graph embedding based on Tabu Search

Authors: Wenzhe Wang; Peilin Hong; Defang Lee; Jianing Pei; Lei Bo;

Virtual network forwarding graph embedding based on Tabu Search

Abstract

In the next generation mobile network, the concept of virtual network slice (VNS) has been proposed to facilitate the building of a dedicated and customized logical network with isolated resources, which can be defined as a subset of network resources allocated to a virtual operator or service provider. Each VNS is associated with a virtual network function forwarding graph (VNF-FG) to accomplish the related services. However, there exists a non-negligible gap between large amount of VNS requirements and finite resources in the substrate network, hence, it is vital to implement an effective approach to embed the VNF-FGs to the substrate network. In this paper, we formulate the VNF-FG embedding (VNF-FG-E) problem as an integer linear programming (ILP) aiming to minimize the total bandwidth consumption of the substrate network. Then, the approach named VNF-FG embedding based on the Tabu-Search (E-TS) is proposed to obtain a near-optimal solution of this problem. Finally, simulation results show that E-TS can accept more VNF-FGs compared with some existing algorithms.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    10
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!