Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1398
Title: NECOS Project: Towards Lightweight Slicing of Cloud Federated Infrastructures
Authors: Silva, Felipe S. Dantas
Lemos, Marcilio O. O.
Medeiros, Alisson
Neto, Augusto Venancio
Pasquini, Rafael
Moura, David
Rothenberg, Christian
Mamatas, Lefteris
Correa, Sand L.
Cardoso, Kleber V.
Marcondes, Cesar
ABelem, Antonio
Nascimento, Marcelo
Galis, Alex
Contreras, Luis M.
Serrat, Joan
Papadimitriou, Panagiotis
Type: Conference Paper
Subjects: FRASCATI::Engineering and technology
FRASCATI::Natural sciences::Computer and information sciences
Keywords: Cloud Federation
Slicing as a Service
Management and Orchestration
cloud computing
computer centres
virtualisation
Issue Date: 2018
First Page: 406
Last Page: 414
Volume Title: 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft)
Abstract: The Novel Enablers for Cloud Slicing (NECOS) project addresses the limitations of current cloud computing infrastructures to respond to the demand for new services, as presented in two use-cases, that will drive the whole execution of the project. The first use-case is focused on Telco service provider and is oriented towards the adoption of cloud computing in their large networks. The second use-case is targeting the use of edge clouds to support devices with low computation and storage capacity. The envisaged solution is based on a new concept, the Lightweight Slice Defined Cloud (LSDC), as an approach that extends the virtualization to all the resources in the involved networks and data centers and provides uniform management with a high-level of orchestration. In this position paper, we discuss the motivation, objectives, architecture, research challenges (and how to overcome them) and initial efforts for the NECOS project.
URI: https://doi.org/10.1109/NETSOFT.2018.8460008
https://ruomo.lib.uom.gr/handle/7000/1398
ISBN: 978-1-5386-4633-5
Other Identifiers: 10.1109/NETSOFT.2018.8460008
Appears in Collections:Department of Applied Informatics

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