z-TORCH: An Automated NFV Orchestration and Monitoring Solution

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dc.contributor.author Sciancalepore, Vincenzo
dc.contributor.author Yousaf, Faqir Zarrar
dc.contributor.author Costa Pérez, Xavier
dc.date.accessioned 2019-05-28T08:38:05Z
dc.date.available 2019-05-28T08:38:05Z
dc.date.issued 2018-08-29
dc.identifier.bibliographicCitation Sciancalepore, V., Yousaf, F.Z. y Costa Pérez, X. (2018). z-TORCH: An Automated NFV Orchestration and Monitoring Solution. IEEE Transactions on Network and Service Management, 15, (4), pp. 1292- 1306.
dc.identifier.issn 1932-4537
dc.identifier.uri http://hdl.handle.net/10016/28422
dc.description.abstract Autonomous 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.
dc.description.sponsorship This work has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 761536 (5G-Transformer project)
dc.format.extent 14
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2018 IEEE.
dc.subject.other NFV
dc.subject.other VNF
dc.subject.other Orchestration
dc.subject.other MANO
dc.subject.other Monitoring
dc.subject.other Function placement
dc.title z-TORCH: An Automated NFV Orchestration and Monitoring Solution
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/TNSM.2018.2867827
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761536 (5G-Transformer)
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 1292
dc.identifier.publicationissue 4
dc.identifier.publicationlastpage 1306
dc.identifier.publicationtitle IEEE Transactions on Network and Service Management
dc.identifier.publicationvolume 15
dc.contributor.funder European Commission
dc.affiliation.dpto UC3M. Departamento de Ingeniería Telemática
dc.affiliation.grupoinv UC3M. Grupo de Investigación: Network Technologies
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