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GANSO: Automate Network Slicing at the Transport Network Interconnecting the Edge

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorTakeru Infiesta, José
dc.contributor.authorGuimarães, Carlos
dc.contributor.authorContreras Murillo, Luis Miguel
dc.contributor.authorOliva Delgado, Antonio de la
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2020-12-01T10:34:57Z
dc.date.available2020-12-01T10:34:57Z
dc.date.issued2020-12-24
dc.descriptionProceeding of: 2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), proceedings, 9 -12 November 2020 // Virtual Conference, Madrid/Leganés, Spainen
dc.description.abstract5G and Edge computing are two technologies set to impose a paradigm shift from today's traditional networking solutions. In particular, transport networks, which connect distinct computing infrastructures, must guarantee a wide range of performance requirements from coexisting network services. 5G network slicing enables such capability by providing the flexibility to support multiple and isolated virtual networks over the same and shared infrastructure. This paper introduces the GST And Network Slice Operator (GANSO) framework for automating the creation of network slices over SDN architectures, focusing on transport networks interconnecting Edge data centers. To characterise the type of network slice to be deployed, it uses Generic network Slice Templates (GSTs). Initially, five GST attributes are implemented in a proof-of-concept prototype, namely through configurable User Data Access and Rate Limit parameters. It is then validated in a scenario considering the instantiation of network slices over the transport network for different virtual applications hosted across the edge-to-cloud continuum.en
dc.description.sponsorshipThis work has been (partially) funded by H2020 EU/TW 5G-DIVE (Grant 859881) and H2020 5Growth (Grant 856709). It has been also funded by the Spanish State Research Agency (TRUE5G project, PID2019-108713RB-C52PID2019-108713RB-C52 / AEI / 10.13039/501100011033).en
dc.identifier.bibliographicCitationTakeru Infiesta, José, et al. GANSO: automate network slicing at the transport network interconnecting the edge. In: 2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), proceedings, 9 -12 November 2020 // Virtual Conference, Madrid/Leganés, Spain (3rd Workshop on Mobility Support in Slice-based Network Control for Heterogeneous Environments). IEEE, Dec. 2020, 6 p.en
dc.identifier.urihttps://hdl.handle.net/10016/31510
dc.identifier.uxxiCC/0000031228
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdate09 - 12 Noviembre 2020es
dc.relation.eventplaceMadrid, Spainen
dc.relation.eventtitleIEEE Conference on Network Function Virtualization and Software Defined Networks (IEEE NFV-SDN'20)en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/856709en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/859881en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherTransporten
dc.subject.otherEdgeen
dc.subject.otherNetwork slicingen
dc.subject.otherGSTen
dc.subject.otherSDNen
dc.titleGANSO: Automate Network Slicing at the Transport Network Interconnecting the Edgeen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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