A multi-criteria decision making approach for scaling and placement of virtual network functions

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dc.contributor.author Zeydan, Engin
dc.contributor.author Mangues-Bafalluy, Josep
dc.contributor.author Baranda, Jorge
dc.contributor.author Martínez, Ricardo
dc.contributor.author Vettori, Luca
dc.date.accessioned 2022-02-14T09:05:56Z
dc.date.issued 2022-04
dc.identifier.bibliographicCitation Zeydan, E., Mangues-Bafalluy, J., Baranda, J., Martínez, R. & Vettori, L. (2022). A Multi-criteria Decision Making Approach for Scaling and Placement of Virtual Network Functions. Journal of Network and Systems Management, 30(2), 32.
dc.identifier.issn 1064-7570
dc.identifier.uri http://hdl.handle.net/10016/34111
dc.description.abstract This paper investigates the joint scaling and placement problem of network services made up of virtual network functions (VNFs) that can be provided inside a cluster managing multiple points of presence (PoPs). Aiming at increasing the VNF service satisfaction rates and minimizing the deployment cost, we use both transport and cloud-aware VNF scaling as well as multi-attribute decision making (MADM) algorithms for VNF placement inside the cluster. The original joint scaling and placement problem is known to be NP-hard and hence the problem is solved by separating scaling and placement problems and solving them individually. The experiments are done using a dataset containing the information of a deployed digital-twin network service. These experiments show that considering transport and cloud parameters during scaling and placement algorithms perform more efficiently than the only cloud based or transport based scaling followed by placement algorithms. One of the MADM algorithms, Total Order Preference by Similarity to the Ideal Solution (TOPSIS), has shown to yield the lowest deployment cost and highest VNF request satisfaction rates compared to only transport or cloud scaling and other investigated MADM algorithms. Our simulation results indicate that considering both transport and cloud parameters in various availability scenarios of cloud and transport resources has significant potential to provide increased request satisfaction rates when VNF scaling and placement using the TOPSIS scheme is performed.
dc.description.sponsorship This work was partially funded by EC H2020 5GPPP 5Growth Project (Grant 856709), Spanish MINECO Grant TEC2017-88373-R (5G-REFINE), Generalitat de Catalunya Grant 2017 SGR 1195 and the National Program on Equipment and Scientifc and Technical Infrastructure, EQC2018-005257-P under the European Regional Development Fund (FEDER). We would also like to thank Milan Groshev, Carlos Guimarães for providing dataset for scaling of robot manipulator based digital twin service.
dc.format.extent 36
dc.language.iso eng
dc.publisher Springer
dc.rights © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. .
dc.subject.other Scaling
dc.subject.other Orchestration
dc.subject.other MADM
dc.subject.other VNF
dc.subject.other Digital-twin
dc.subject.other Cloud
dc.title A multi-criteria decision making approach for scaling and placement of virtual network functions
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1007/s10922-022-09645-9
dc.rights.accessRights embargoedAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/856709
dc.relation.projectID Gobierno de España. TEC2017-88373-R
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 32-1
dc.identifier.publicationissue 2
dc.identifier.publicationlastpage 32-36
dc.identifier.publicationtitle Journal of Network and Systems Management
dc.identifier.publicationvolume 30
carlosiii.embargo.liftdate 2023-04-01
carlosiii.embargo.terms 2023-04-01
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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