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The Role of Virtualization in the Small Cell Enabled Mobile Edge Computing Ecosystem

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Engineering Applications of Neural Networks (EANN 2017)

Abstract

Virtualisation is playing a fundamental role in the evolution of telecommunication services and infrastructures, bringing to rethink some of the traditional design paradigms of the mobile network and enabling those functionalities necessary for supporting new complex ecosystems where multiple actors can participate in a dynamic and secure environment. In Small Cell enabled Mobile Edge Computing deployments, the impact of virtualization technologies is significant in two main aspects: the design and deployment of the telecommunication infrastructure, and the delivery of edge services. Besides, the adoption of virtualization technologies has implications also in the implementation of Self Organizing Network (SON) services and in the enforcement of Service Level Agreement (SLA) policies, both critical in the automation of the delivery of multi-tenant oriented services in such complex infrastructure. From the work performed by the H2020 SESAME project, the beneficial use of virtualization techniques emerges in adding network intelligence and services in the network edge. SESAME relays on virtualization for providing Small Cell as a Service (SCaaS) and per operator Edge Computing services, consolidating the emerging multi-tenancy driven design paradigms in communication infrastructures.

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References

  1. Small Cell Forum (SCF): Small Cell Virtualization: Functional Splits and Use Cases - SFC 159.06.02 (2016)

    Google Scholar 

  2. Belesioti, M., Chochliouros, I. (eds.): System Use Cases and Requirements, Deliverable D2.1 of the SESAME project, December 2015

    Google Scholar 

  3. Small Cell Forum (SCF): Virtualization in Small Cell Networks - SCF 154.07.02 (2015)

    Google Scholar 

  4. Small Cell Forum (SCF): Business case elements for small cell virtualisation - SCF 158.05.1.04 (2015)

    Google Scholar 

  5. Small cEllS coordinAtion for Multi-tenancy and Edge services (SESAME) 5G-PPP project. http://www.sesame-h2020-5g-ppp.eu/

  6. Ramiro, J., Hamied, K.: Self-Organizing Networks: Self-Planning, Self-Optimization and Self-Healing for GSM. UMTS and LTE. Wiley, Hoboken (2012)

    Google Scholar 

  7. European Telecommunications Standards Institute (ETSI): ETSI GS NFV-MAN 001 (V1.1.1): Network Function Virtualisation (NFV); Management and Orchestration. ETSI, Sophia-Antipolis (2014)

    Google Scholar 

  8. Giannoulakis, I. (ed.): SESAME Final Architecture and PoC Assessment KPIs, Deliverable D2.5 of SESAME project, December 2016

    Google Scholar 

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Acknowledgments

This work has been supported by the EU funded H2020 5G-PPP project SESAME under the grant agreement no. 671596

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Correspondence to C. E. Costa .

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Goratti, L., Costa, C.E., Perez-Romero, J., Khodashenas, P.S., Whitehead, A., Chochliouros, I. (2017). The Role of Virtualization in the Small Cell Enabled Mobile Edge Computing Ecosystem. In: Boracchi, G., Iliadis, L., Jayne, C., Likas, A. (eds) Engineering Applications of Neural Networks. EANN 2017. Communications in Computer and Information Science, vol 744. Springer, Cham. https://doi.org/10.1007/978-3-319-65172-9_61

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  • DOI: https://doi.org/10.1007/978-3-319-65172-9_61

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-65172-9

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