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Evolution of MANO Towards the Cloud-Native Paradigm for the Edge Computing

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Advanced Computing and Intelligent Technologies


The Management and Orchestration framework (MANO) is the main element of the Network Function Virtualization paradigm. It is in charge of managing the life cycle of virtualized functions, from instantiation to manageability, live configuration, and termination. This kind of framework was originally designed to orchestrate network functions over virtual machines. However, the Cloud-Native approach, based on containers and microservices, has emerged and needs to be included as a part of MANO, to leverage all the inherent benefits that it brings. This contribution identifies the key enablers that have to be addressed, from the MANO perspective, to fully exploit the capabilities and to obtain real added value from implementing this novel approach, focusing mainly on resource-constrained environments. Besides, an analysis of current status of open-source frameworks aiming at the Cloud-Native adaptation is presented, showing that while Cloud-Native approaches vís-a-vis network functions are widely accepted (at least, by the research community), there is still room for further research and integration.

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  1. Cao, K., Liu, Y., Meng, G., Sun, Q.: An overview on edge computing research. IEEE Access 8, 85714–85728 (2020)

    Article  Google Scholar 

  2. Tipantuna, C., Yanchapaxi, P.: Network functions virtualization: an overview and open-source projects. In: 2017 IEEE 2nd Ecuador Technical Chapters Meeting ETCM 2017, vol. 2017-January, pp. 1–6 (2018)

    Google Scholar 

  3. ETSI: GS NFV-MAN 001 Network Functions Virtualisation (NFV); Management and Orchestration (2014)

    Google Scholar 

  4. 5G-PPP Software Network Working Group: Cloud-Native and Verticals’ services (2019)

    Google Scholar 

  5. Dolui, K., Datta, S.K.: Comparison of edge computing implementations: fog computing, cloudlet and mobile edge computing. In: GIoTS 2017—Global Internet Things Summit, Proc., LNCS (2017)

    Google Scholar 

  6. Zeydan, E., Turk, Y.: Recent advances in intent-based networking: a survey. In: 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), pp. 1–5. IEEE (2020)

    Google Scholar 

  7. Klaine, P.V., Imran, M.A., Onireti, O., Souza, R.D.: A survey of machine learning techniques applied to self-organizing cellular networks. IEEE Commun. Surv. Tutorials (19), 2392–2431 (2017)

    Google Scholar 

  8. 5G-PPP Technology Board Working Group and 5G-IA’s Trials Working Group: Edge Computing for 5G Networks (2021)

    Google Scholar 

  9. Shah, S.D.A., Gregory, M.A., Li, S.: Cloud-Native network slicing using software defined networking based multi-access edge computing: a survey. IEEE Access (9), 10903–10924 (2021)

    Google Scholar 

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This work is part of ASSIST-IoT project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement 957258.

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Correspondence to Ignacio Lacalle .

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Fornés-Leal, A. et al. (2022). Evolution of MANO Towards the Cloud-Native Paradigm for the Edge Computing. In: Shaw, R.N., Das, S., Piuri, V., Bianchini, M. (eds) Advanced Computing and Intelligent Technologies. Lecture Notes in Electrical Engineering, vol 914. Springer, Singapore.

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2979-3

  • Online ISBN: 978-981-19-2980-9

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