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z-TORCH: An Automated NFV Orchestration and Monitoring Solution

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de InvestigaciĂłn: Network Technologieses
dc.contributor.authorSciancalepore, Vincenzo
dc.contributor.authorYousaf, Faqir Zarrar
dc.contributor.authorCosta PĂ©rez, Xavier
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2019-05-28T08:38:05Z
dc.date.available2019-05-28T08:38:05Z
dc.date.issued2018-08-29
dc.description.abstractAutonomous management and orchestration (MANO) of virtualized resources and services, especially in large-scale NFV environments, is a big challenge owing to the stringent delay and performance requirements expected of a variety of network services. The quality of decision (QoD) of a MANO system depends on the quality and timeliness of the information that it receives from the underlying monitoring system. The data generated by monitoring systems is a significant contributor to the network and processing load of MANO systems, impacting thus their performance. This raises a unique challenge: how to jointly optimize the QoD of MANO systems while at the same minimizing their monitoring loads at runtime? This is the main focus of this paper. In this context we propose a novel automated NFV orchestration solution called z-TORCH (zero Touch Orchestration) that jointly optimizes the orchestration and monitoring processes by exploiting machine learning techniques. The objective is to enhance the QoD of MANO systems achieving a near-optimal placement of VNFs at minimum monitoring costs.en
dc.description.sponsorshipThis work has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 761536 (5G-Transformer project)en
dc.format.extent14
dc.identifier.bibliographicCitationSciancalepore, V., Yousaf, F.Z. y Costa PĂ©rez, X. (2018). z-TORCH: An Automated NFV Orchestration and Monitoring Solution. IEEE Transactions on Network and Service Management, 15, (4), pp. 1292- 1306.en
dc.identifier.doihttps://doi.org/10.1109/TNSM.2018.2867827
dc.identifier.issn1932-4537
dc.identifier.publicationfirstpage1292
dc.identifier.publicationissue4
dc.identifier.publicationlastpage1306
dc.identifier.publicationtitleIEEE Transactions on Network and Service Managementen
dc.identifier.publicationvolume15
dc.identifier.urihttps://hdl.handle.net/10016/28422
dc.language.isoengen
dc.publisherIEEEen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/761536 (5G-Transformer)en
dc.rights© 2018 IEEE.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherNFVen
dc.subject.otherVNFen
dc.subject.otherOrchestrationen
dc.subject.otherMANOen
dc.subject.otherMonitoringen
dc.subject.otherFunction placementen
dc.titlez-TORCH: An Automated NFV Orchestration and Monitoring Solutionen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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