Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1392
Title: A Marketplace-based Approach to Cloud Network Slice Composition Across Multiple Domains
Authors: Maciel, Paulo D.
Verdi, Fabio L.
Valsamas, Polychronis
Sakellariou, Ilias
Mamatas, Lefteris
Petridou, Sophia
Papadimitriou, Panagiotis
Moura, David
Swapna, Asma Islam
Pinheiro, Billy
Clayman, Stuart
Type: Conference Paper
Subjects: FRASCATI::Engineering and technology
FRASCATI::Natural sciences::Computer and information sciences
Keywords: cloud computing
marketing data processing
5G mobile communication
Network slicing
Dynamic scheduling
Monitoring
Computer architecture
Industries
Issue Date: 2019
First Page: 480
Last Page: 488
Volume Title: 2019 IEEE Conference on Network Softwarization (NetSoft)
Abstract: Cloud network slicing can be defined as the process that enables isolated end-to-end and on-demand networking abstractions, which: (a) contain both cloud and network resources, and (b) are independently controlled, managed and orchestrated. This paper contributes to the vision of the NECOS project and relevant platform, that aim to address the limitations of current cloud computing infrastructures to accomplish the challenging requirements of the slicing approach. The NECOS platform implements the Slice-as-a-Service model, enabling the dynamic creation of end-to-end (E2E) slices from a set of constituent slice parts contributed from multiple domains. A challenging issue is to define the facility that implements dynamic slice resource discovery, aligned to the requirements of the slice owner or tenant, over different infrastructure providers. Here, we propose a Marketplace-based approach implementing relevant federated interactions for the resource discovery and we detail its architecture, workflows, and information model. We also present its initial implementation details and provide both quantitative and qualitative experimental results validating its main operation.
URI: https://doi.org/10.1109/NETSOFT.2019.8806668
https://ruomo.lib.uom.gr/handle/7000/1392
ISBN: 978-1-5386-9376-6
Other Identifiers: 10.1109/NETSOFT.2019.8806668
Appears in Collections:Department of Applied Informatics

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