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TeraFlow: Secured Autonomic Traffic Management for a Tera of SDN flows

Ricard Vilalta, Raül Muñoz, Ramon Casellas, Ricardo Martí­nez, Vı́ctor López, Óscar González de Dios, Antonio Pastor, Georgios P. Katsikas, Felix Klaedtke, Paolo Monti, Alberto Mozó, Thomas Zinner, Harald Øverby, Sergio Gonzalez-Diaz, Håkon Lønsethagen, Jose-Miguel Pulido, Daniel King

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Abstract

TeraFlow 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.

Topics & Concepts

Software-defined networkingCloud computingComputer scienceMultitenancyVirtualizationController (irrigation)Computer networkDenial-of-service attackEnhanced Data Rates for GSM EvolutionTera-Computer securityDistributed computingSoftwareOperating systemSoftware as a serviceTelecommunicationsSoftware developmentAgronomyThe InternetBiologySoftware-Defined Networks and 5GNetwork Security and Intrusion DetectionAdvanced Photonic Communication Systems
TeraFlow: Secured Autonomic Traffic Management for a Tera of SDN flows | Litcius