The NECOS Approach to End-to-End Cloud-Network Slicing as a Service

Clayman, S., Neto, A., Verdi, F., Correa, S., Sampaio, S., Sakelariou, I., Mamatas, L., Pasquini, R., Cardoso, K., Tusa, F., Rothenberg, C. and Serrat, J. 2021. The NECOS Approach to End-to-End Cloud-Network Slicing as a Service. IEEE Communications Magazine. 59 (3), pp. 91-97. https://doi.org/10.1109/mcom.001.2000702

TitleThe NECOS Approach to End-to-End Cloud-Network Slicing as a Service
TypeJournal article
AuthorsClayman, S., Neto, A., Verdi, F., Correa, S., Sampaio, S., Sakelariou, I., Mamatas, L., Pasquini, R., Cardoso, K., Tusa, F., Rothenberg, C. and Serrat, J.
Abstract

Cloud-network slicing is a promising approach to serve vertical industries delivering their services over multiple administrative and technological domains. However, there are numerous open challenges to provide end-to-end slices due to complex business and engineering requirements from service and resource providers. This article presents a reference architecture for the cloud-network slicing concept and the practical realization of the slice-as-a-service paradigm, which are key results from the Novel Enablers in Cloud Slicing (NECOS) project. The NECOS platform has been designed to consider modularity, separation of concerns, and multi-domain dynamic operation as prime attributes. The architecture comprises a set of interworking components to automatically create, manage, and decommission end-to-end cloud-network slice instances in a lightweight manner. NECOS orchestrates slices at runtime, spanning across core/edge data centers and wired/wireless network infrastructures. The novelties of the multi-domain NECOS platform are validated through three proof-of-concept experiments: (i) a touristic content delivery service slice deployment featuring on-demand virtual infrastructure management across three countries on different continents to meet particular slice requirements; (ii) intelligent slice elasticity driven by machine learning techniques; and (iii) market-place-based resource discovery capabilities.

JournalIEEE Communications Magazine
Journal citation59 (3), pp. 91-97
ISSN1558-1896
Year2021
PublisherIEEE
Digital Object Identifier (DOI)https://doi.org/10.1109/mcom.001.2000702
Web address (URL)http://www.scopus.com/inward/record.url?eid=2-s2.0-85105624700&partnerID=MN8TOARS
Publication dates
PublishedMar 2021

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