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Cloud-Network Slicing MANO Towards an Efficient IoT-Cloud Continuum

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Abstract

This work sets out by exploiting the NECOS Cloud-Network Slicing concept to form the Cloud-to-Things continuum. We adopt the Network-Slicing Management and Orchestration (NS-MANO) approach, a set of building blocks that integrates the NECOS platform to fill the gap caused by a lack of multi-domain Network-Slicing capability support. The NS-MANO harnesses Softwarization and Cloudification facilities to automatically provision elastic Network-Slice parts that span across the backhauling, fronthauling, and Radio Access Network (RAN) infrastructures of federated multi-domains. Additionally, NS-MANO binds all Network-Slice parts together into NECOS previously-orchestrated Cloud-Network Slice parts that form a full end-to-end Cloud-Network Slice instance. We designed a prototype atop a real-world testbed to check the NECOS/NS-MANO holistic architecture conformance, functional effectiveness, and performance impact. The findings suggest that the prototype offers an effective means of laying the foundations for an end-to-end Cloud-Network Slice lifecycle while keeping mobile users perceiving affordable quality over time. Additionally, we estimate the prototype cost through quantitative analysis on response times and signaling overhead along the experiment time.

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Acknowledgments

This research was partially supported by the H2020 4th EU-BR Collaborative Call, under the grant agreement no. 777067 (NECOS – Novel Enablers for Cloud Slicing), funded by the European Commission and the Brazilian Ministry of Science, Technology, Innovation, and Communication (MCTIC) through RNP and CTIC.

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Authors and Affiliations

  1. REGINA Lab, Federal University of Rio Grande do Norte, Natal, Brazil

    Douglas B. Maciel, Emidio P. Neto, Kevin B. Costa, Mathews P. Lima, Vitor G. Lopes, Augusto V. Neto, Felipe S. Dantas Silva & Silvio C. Sampaio

  2. LaTARC Research Lab, Federal Institute of Rio Grande do Norte, Natal, RN, Brazil

    Emidio P. Neto, Kevin B. Costa, Mathews P. Lima & Felipe S. Dantas Silva

  3. Instituto de Telecomunicações, Universidade de Aveiro, Aveiro, Portugal

    Emidio P. Neto

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  1. Douglas B. Maciel
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Maciel, D.B., Neto, E.P., Costa, K.B. et al. Cloud-Network Slicing MANO Towards an Efficient IoT-Cloud Continuum. J Grid Computing 19, 48 (2021). https://doi.org/10.1007/s10723-021-09588-6

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