Xenofon Vasilakos

When

08 Dec 2021, 16:00 Athens time, via Zoom

Title

ML-powered Zero-Touch approach to Optimised Service placement and Resource Allocation

Abstract

Network softwarisation in current and future generations of wireless networks (5G/6G) implies a series of significant merits such as flexibility and agility. The key concepts in support of this are Software Defined Networking (SDN) and, in particular, Network Function Virtualisation (NFV), both of which are essential for enabling scalable vertical industry services with strict performance requirements, e.g: a seemingly infinite resource capacity and imperceptible latency, or global web-scale service reach even for personalized services.

This talk will overview recent key research publications related to Zero-touch network and Service Management (ZSM) solutions, including Machine Learning (ML) approaches, IoT/Industrial IoT (IIoT), Intelligent Orchestration & profiling of VNFs, automated VNF placement and Zero Downtime Edge Application Mobility. The latter works fall into research categories that envision disrupting the future landscape 5G/6G services.

About the speaker

http://pages.cs.aueb.gr/~xvas/pdfs/detailedCV.pdf 

Xenofon Vasilakos is a Lecturer at the University of Bristol, the UK. His research is aligned with Bristol Digital Futures Institute (BDFI) and Smart Internet Lab (SIL). He is currently the lead researcher of the Zero Downtime Edge Application Mobility (ZeroDEAM) project funded by Samsung Electronics UK. His current research interests include 5G and 6G focusing on Multi-access Edge Computing based on cognition approaches inspired by machine learning models towards Zero-touch network and Service Management. He is also involved in 5G/6G-related research on the Internet of Things, Software-Defined Networking, Network Function Virtualization, and network Slicing. Dr Vasilakos was a recipient of an excellence fellowship grant from the French government (LABoratoires d’EXcellence), and has received an accolade and awards for his academic performance from the Greek State Scholarship Foundation.