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Delay and reliability-constrained VNF placement on mobile and volatile 5G infrastructure

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorNémeth, Balázs
dc.contributor.authorMolner, Nuria
dc.contributor.authorMartín Pérez, Jorge
dc.contributor.authorBernardos Cano, Carlos Jesús
dc.contributor.authorOliva Delgado, Antonio de la
dc.contributor.authorSonkoly, Balázs
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2021-05-18T11:07:12Z
dc.date.available2020-11-30T13:12:35Z
dc.date.issued2021-01-28
dc.description.abstractOngoing research and industrial exploitation of SDN and NFV technologies promise higher flexibility on network automation and infrastructure optimization. Choosing the location of Virtual Network Functions is a central problem in the automation and optimization of the software-defined, virtualization-based next generation of networks such as 5G and beyond. Network services provided for autonomous vehicles, factory automation, e-health and cloud robotics often require strict delay bounds and reliability constraints influenced by the location of its composing Virtual Network Functions. Robots, vehicles and other end-devices provide significant capabilities such as actuators, sensors and local computation which are essential for some services. Moreover, these devices are continuously on the move and might lose network connection or run out of battery, which further challenge service delivery in this dynamic environment. This work tackles the mobility, and battery restrictions; as well as the temporal aspects and conflicting traits of reliable, low latency service deployment over a volatile network, where mobile compute nodes act as an extension of the cloud and edge computing infrastructure. The problem is formulated as a cost-minimizing Virtual Network Function placement optimization and an efficient heuristic is proposed. The algorithms are extensively evaluated from various aspects by simulation on detailed real-world scenarios.en
dc.description.sponsorshipThis work has been partially funded by the EC H2020 5G-DIVE Project (grant no.: 859881) and EC H2020 5G-GROWTH Project (grant no.: 856709).en
dc.identifier.bibliographicCitationIEEE Transactions on Mobile Computing (Early access), 28 January 2021en
dc.identifier.doihttps://doi.org/10.1109/TMC.2021.3055426
dc.identifier.issn1536-1233
dc.identifier.publicationtitleIEEE Transactions on Mobile Computingen
dc.identifier.urihttps://hdl.handle.net/10016/31504
dc.identifier.uxxiAR/0000027073
dc.language.isoeng
dc.publisherIEEEen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/856709/5G-DIVE
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/859881/5G-GROWTH
dc.rights© 2021 IEEEen
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.titleDelay and reliability-constrained VNF placement on mobile and volatile 5G infrastructureen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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