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Glasfasern aus der Optoelektronik in der Fakultät für Elektrotechnik, Informatik und Mathematik, Foto: Universität Paderborn

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Glasfasern aus der Optoelektronik in der Fakultät für Elektrotechnik, Informatik und Mathematik, Foto: Universität Paderborn

EIM Termin

Donnerstag, 13.06.2019 | 12.30 - 13.30 Uhr | Universität Paderborn FU.511

Resource management in sliced 5G networks

Abstract: Network slicing is an emerging paradigm in 5G systems, which takes advantage of network function virtualisation (NFV) technologies to create multiple logical instances (i.e., slices) of a same physical infrastructure. Each slice features dedicated resources and customised functions, which allows network operators to assign different mobile services to slices that are tailored to meet specific quality of service (QoS) requirements. In this talk, I will first outline a previously overlooked and potentially critical aspect of network slicing, i.e., its increased cost in terms of capacity: by analysing real-world measurement data, I will show that operators face a risk to have to deploy substantial additional resources to accommodate the new paradigm. I will then discuss a possible strategy to mitigate such a cost, i.e., optimising the anticipatory allocation of capacity to slices: I will present a novel capacity predictor that can reduce operating expense (OPEX) linked to resource allocation by over 50% with respect to legacy traffic predictors in practical settings.

Bio: Marco Fiore is a permanent researcher at CNR-IEIIT, Italy. Marco received MSc degrees from the University of Illinois at Chicago, IL, USA, and Politecnico of Torino, Italy, a PhD degree from Politecnico di Torino, Italy, and a Habilitation à Diriger des Recherches (HDR) from Université de Lyon, France. He was Maître de Conférences (Associate Professor) at Institut National des Sciences Appliquées (INSA) de Lyon, France, Associate Researcher at Inria, France, visiting research fellow at Rice University, TX, USA, Universitat Politècnica de Catalunya (UPC), Spain, and University College London (UCL), UK. Marco is a recipient of the French national Scientific Excellence Award (PES), EU Marie Curie Career Reintegration Grant, Royal Society International Exchange Fellowship, Data Transparency Lab grant, and a Finalist at the Telecom Italia Big Data Challenge. He is a senior member of IEEE, and a member of ACM.

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