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Latency and Availability Driven VNF Placement in a MEC-NFV Environment

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dc.contributor.authorYala, Louiza
dc.contributor.authorFrangoudis, Pantelis A.
dc.contributor.authorKsentini, Adlen
dc.contributor.funderEuropean Commission
dc.date.accessioned2019-03-20T10:10:59Z
dc.date.available2019-03-20T10:10:59Z
dc.date.issued2019-02-21
dc.description.abstractMulti-access Edge Computing (MEC) is gaining momentum as it is considered as one of the enablers of 5G ultra-Reliable Low-Latency Communications (uRLLC) services. MEC deploys computation resources close to the end user, enabling to reduce drastically the end-to-end latency. ETSI has recently leveraged the MEC architecture to run all MEC entities, including MEC applications, as Virtual Network Functions (VNF) in a Network Functions Virtualization (NFV) environment. This evolution allows taking advantage of the mature architecture and the enabling tools of NFV, including the potential to apply a variety of service-tailored function placement algorithms. However, the latter need to be carefully designed in case of MEC applications such as uRLLC, where service access latency is critical. In this paper, we propose a novel placement scheme applicable to a MEC in NFV environment. In particular, we propose a formulation of the problem of VNF placement tailored to uRLLC as an optimization problem of two conflicting objectives, namely minimizing access latency and maximizing service availability. To deal with the complexity of the problem, we propose a Genetic Algorithm to solve it, which we compare with a CPLEX implementation of our model. Our numerical results show that our heuristic algorithm runs efficiently and produces solutions that approximate well the optimal, reducing latency and providing a highly-available service.en
dc.description.sponsorshipThis work has been partially supported by the European Union’s H2020 5G-Transformer Project (grant no. 761536)en
dc.format.extent8
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationYala, L., Frangoudis, P.A. y Ksentini, A. (2018). Latency and Availability Driven VNF Placement in a MEC-NFV Environment. In: 2018 IEEE Global Communications Conference (GLOBECOM), pp. 1-7.en
dc.identifier.doihttps://www.doi.org/10.1109/GLOCOM.2018.8647858
dc.identifier.isbn978-1-5386-4727-1 (Electronic)
dc.identifier.isbn978-1-5386-6976-1 (USB)
dc.identifier.isbn978-1-5386-4728-8 (PoD)
dc.identifier.issn2576-6813
dc.identifier.publicationfirstpage1
dc.identifier.publicationlastpage7
dc.identifier.publicationtitle2018 IEEE Global Communications Conference (GLOBECOM)en
dc.identifier.urihttps://hdl.handle.net/10016/28218
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdate9-13 December, 2018
dc.relation.eventplaceAbu Dhabi, United Arab Emiratesen
dc.relation.eventtitle2018 IEEE Global Communications Conference (GLOBECOM)en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/761536
dc.rights© 2018 IEEEen
dc.rights.accessRightsopen access
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherCloud computingen
dc.subject.otherComputer architectureen
dc.subject.otherReliabilityen
dc.subject.other5G mobile communicationen
dc.subject.otherNetwork function virtualizationen
dc.subject.otherServersen
dc.subject.otherEdge computingen
dc.titleLatency and Availability Driven VNF Placement in a MEC-NFV Environmenten
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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