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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