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On the integration of NFV and MEC technologies: architecture analysis and benefits for edge robotics

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorAntevski, Kiril
dc.contributor.authorBernardos Cano, Carlos Jesús
dc.contributor.authorCominardi, Luca
dc.contributor.authorOliva Delgado, Antonio de la
dc.contributor.authorMourad, Alain
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2020-06-01T12:02:25Z
dc.date.available2022-07-05T23:00:05Z
dc.date.issued2020-07-05
dc.description.abstractForthcoming networks will need to accommodate a large variety of services over a common shared infrastructure. To achieve the necessary flexibility and cost savings, these networks will need to leverage two promising technologies: Network Function Virtualization (NFV) and Multi-access Edge Computing (MEC). While the benefits of NFV and MEC have been largely studied as independent domains, the benefits of an harmonized system comprising these two technologies remains largely unexplored. In this article we first identify a set of reference use cases that would benefit from a joint use of MEC and NFV. Then, we analyze the current state-of-the-art on MEC and NFV integration and we identify several issues that prevent a seamless integration. Next, we consider a reference use case, namely Edge Robotics, to exemplify and characterize these issues in terms of the overall service life cycle: from the initial development, to deployment and termination.en
dc.description.sponsorshipThis work has been partially funded by the EU H2020 5G-TRANSFORMER Project (grant no. 761536), the H2020 collaborative Europe/Taiwan research project 5G-CORAL (grant no. 761586) and the EU H2020 5GROWTH Project (grant no. 856709).en
dc.format.extent20
dc.identifier.bibliographicCitationAntevski, K.,Bernardos, C.J., Cominardi, L., Oliva, A.y Mourad, A. (2020). On the integration of NFV and MEC technologies: architecture analysis and benefits for edge robotics. Computer Networks, Vol. 175, 107274.en
dc.identifier.doihttps://doi.org/10.1016/j.comnet.2020.107274
dc.identifier.issn1389-1286
dc.identifier.publicationtitleComputer Networksen
dc.identifier.publicationvolume175
dc.identifier.urihttps://hdl.handle.net/10016/30546
dc.identifier.uxxiAR/0000024944
dc.language.isoengen
dc.publisherElsevieren
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/761536en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/761586en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/856709es
dc.rights© 2020 Elsevier Ltd. All rights reserved.en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherNFVen
dc.subject.otherMECen
dc.subject.otherIntegrationen
dc.subject.otherEdge roboticsen
dc.subject.otherUse caseen
dc.titleOn the integration of NFV and MEC technologies: architecture analysis and benefits for edge roboticsen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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