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T5: The Role of Data Engineering in the Realization of Network Automation - VTC2023-Spring
This tutorial has been cancelled.

 

T5: The Role of Data Engineering in the Realization of Network Automation

Organizer: Engin Zeydan, CTTC, Spain
Organizer: Josep Mangues, CTTC, Spain

 

Abstract: The tutorial will cover an in-depth study of convergence of data engineering in network management and orchestration domain. The first part will be background information on data engineering and second part will be on application of those technologies to network management problems. In the second part, there will be a step-by-step demonstration of one of the demos during the second part of the tutorial. The participants do not need to have any prerequisite components. Application of data engineering concepts in the management and orchestration of telecommunication networks is an emerging topic and will be most important in the coming years as well. The attendees to this tutorial will have the chance to learn more about data engineering for networking and its applications from the perspective of telecommunication operators.

 

Engin Zeydan

Bio: ENGIN ZEYDAN received the PhD degree in February 2011 from the Department of Electrical and Computer Engineering at Stevens Institute of Technology, Hoboken, NJ, USA. Since November 2018, he has been with the Communication Networks Division of the CTTC working as a Senior Researcher. He was a part-time instructor at Electrical and Electronics Engineering department of Ozyegin University Istanbul, Turkey between January 2015 and June 2018. His research areas include data engineering/science for telecommunication networks.

 

Josep Mangues

Bio: JOSEP MANGUES-BAFALLUY received the PhD degree in Telecommunications in 2003 from the Technical University of Catalonia (UPC). He is Senior Researcher and Head of the Services as Networks (SAS) Research Unit of the CTTC. He has given keynotes in conferences/workshops (MONAMI 2015, Mobislice 2020). His research interests include SDN and NFV applied to next generation mobile networks and data science/engineering- and AIML-based network automation.