Abstract
The core challenges in the actual SESAME EU-funded project is to develop an ecosystem to sustain network infrastructure openness, built on the pillars of network functions virtualization (NFV), mobile-edge computing (MEC) capabilities and cognitive network management that will provide multi-tenancy and flexible cloud-network interaction with highly-predictable and flexible end-to-end performance characteristics. Based on this aspect, we discuss the potential benefits of including NFV and MEC in a modern mobile communications infrastructure, through Small Cells coordination and virtualization, also focused upon realistic 5G-oriented considerations. Within the proposed SESAME architecture, we also assess the various advantages coming from a more enhanced network operation and management of resources, as it appears with the incorporation of cognitive capabilities embracing knowledge and intelligence.
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Acknowledgments
This work has been performed in the scope of the SESAME European Research Project and has been supported by the Commission of the European Communities (5G-PPP/H2020, Grant Agreement No. 671596).
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Chochliouros, I.P. et al. (2017). Putting Intelligence in the Network Edge Through NFV and Cloud Computing: The SESAME Approach. 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_59
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DOI: https://doi.org/10.1007/978-3-319-65172-9_59
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