TeraFlow: Secured Autonomic Traffic Management for a Tera of SDN flows
Vilalta, Ricard; Munoz, Raul; Cassellas, Ramon; Martinez, Ricardo; Lopez, Victor; González de Dios, Oscar; Pastor, Antonio; Katsikas, Georgios; Klaedtke, Felix; Monti, Paolo; Mozo, Alberto; Zinner, Thomas Erich; Øverby, Harald; Gonzalez-Diaz, Sergio; Lønsethagen, Håkon; Pulido, José-Miguel; King, Daniel
Chapter
Accepted version
Åpne
Permanent lenke
https://hdl.handle.net/11250/2987646Utgivelsesdato
2021Metadata
Vis full innførselSamlinger
Originalversjon
10.1109/EuCNC/6GSummit51104.2021.9482469Sammendrag
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.