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dc.contributor.authorVilalta, Ricard
dc.contributor.authorMunoz, Raul
dc.contributor.authorCassellas, Ramon
dc.contributor.authorMartinez, Ricardo
dc.contributor.authorLopez, Victor
dc.contributor.authorGonzález de Dios, Oscar
dc.contributor.authorPastor, Antonio
dc.contributor.authorKatsikas, Georgios
dc.contributor.authorKlaedtke, Felix
dc.contributor.authorMonti, Paolo
dc.contributor.authorMozo, Alberto
dc.contributor.authorZinner, Thomas Erich
dc.contributor.authorØverby, Harald
dc.contributor.authorGonzalez-Diaz, Sergio
dc.contributor.authorLønsethagen, Håkon
dc.contributor.authorPulido, José-Miguel
dc.contributor.authorKing, Daniel
dc.date.accessioned2022-03-25T12:24:05Z
dc.date.available2022-03-25T12:24:05Z
dc.date.created2022-01-17T12:39:19Z
dc.date.issued2021
dc.identifier.isbn978-1-6654-1526-2
dc.identifier.urihttps://hdl.handle.net/11250/2987646
dc.description.abstractTeraFlow proposes a new type of secure, cloud-native Software Defined Networking (SDN) controller that will radically advance the state-of-the-art in beyond 5G networks by introducing novel micro-services architecture, and provide revolutionary features for both flow management (service layer) and optical/microwave network equipment integration (infras-tructure layer) by adapting new data models. TeraFlow will also incorporate security using Machine Learning (ML) and forensic evidence for multi-tenancy based on Distributed Ledgers. Finally, this new SDN controller shall be able to integrate with the current Network Function Virtualization (NFV) and Multi-access Edge Computing (MEC) frameworks as well as to other networks. The target pool of TeraFlow stakeholders expands beyond the traditional telecom operators towards edge and hyperscale cloud providers.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartof2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
dc.titleTeraFlow: Secured Autonomic Traffic Management for a Tera of SDN flowsen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.identifier.doi10.1109/EuCNC/6GSummit51104.2021.9482469
dc.identifier.cristin1982494
dc.relation.projectEC/H2020/TeraFlow : Secured autonomic traffic management for a Tera of SDN flowsen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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