Virtualization-based evaluation of backhaul performance in vehicular applications

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Show simple item record Malandrino, Francesco Chiasserini, Carla-Fabiana Casetti, Claudio 2018-07-23T10:13:18Z 2019-04-08T22:00:05Z 2018-04-07
dc.identifier.bibliographicCitation Malandrino, F., Chiasserini, C.F., Casetti, C. (2018). Virtualization-based evaluation of backhaul performance in vehicular applications. Computer Networks, 134, pp. 93-104.
dc.identifier.issn 1389-1286
dc.description.abstract Next-generation networks, based on SDN and NFV, are expected to support a wide array of services, including vehicular safety applications. Theseservices come with strict delay constraints, and our goal in this paper is to ascertain to which extent SDN/NFV-based networks are able to meetthem. To this end, we build and emulate a vehicular collision detection system, using the popular Mininet and Docker tools,on a real-world topology with mobility information. Using different core network topologies and open- source SDN controllers, we measure (i) thedelay with which vehicle beacons are processed and (ii) the associated overhead and energy consumption. We find that we can indeed meet thelatency constraints associated with vehicular safety applications, and that SDN controllers represent a moderate contribution to the overall energyconsumption but a significant source of additional delay.
dc.description.sponsorship This work was partially supported by the European Commission through the H2020 5G-TRANSFORMER project (Project ID 761536).
dc.format.extent 12
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.rights © 2018 Elsevier B.V. All rights reserved
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.title Virtualization-based evaluation of backhaul performance in vehicular applications
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761536
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 93
dc.identifier.publicationlastpage 104
dc.identifier.publicationvolume 134
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