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Putting Intelligence in the Network Edge Through NFV and Cloud Computing: The SESAME Approach

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Engineering Applications of Neural Networks (EANN 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 744))

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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References

  1. European Commission and 5G-PPP: 5G Vision: The 5G-PPP Infrastructure Private Public Partnership: The Next Generation of Communication Network and Services (2015). https://ec.europa.eu/digital-single-market/en/towards-5g

  2. Demestichas, P., Georgakopoulos, A., et al.: 5G on the horizon: key challenges for the radio-access network. IEEE Veh. Technol. Mag. 8(3), 47–53 (2013)

    Article  Google Scholar 

  3. Andrews, J.G., et al.: What Will 5G Be? IEEE JSAC Spec. Issue 5G Wirel. Commun. Syst. 32(6), 1065–1082 (2014)

    Google Scholar 

  4. Capdevielle, V., Feki, A., Temer, E.: Enhanced resource sharing strategies for LTE picocells with heterogeneous traffic loads. In: Proceedings of IEEE 73rd Vehicular Technology Conference (VTC2011-Spring), pp. 1–5. IEEE (2011)

    Google Scholar 

  5. Commission of the European Communities: Communication on “A Digital Market Strategy for Europe” [COM(2015) 192 final, 06.05.2015]. http://eur-lex.europa.eu/legal-content/EN/TXT/?qid=1447773803386&uri=CELEX%3A52015DC0192

  6. Quek, T.Q.S., de la Roche, G., Güvenç, İ., Kountouris, M.: Small Cell Networks Deployment, PHY Techniques, and Resource Management. Cambridge University Press, Cambridge (2013)

    Book  Google Scholar 

  7. Small Cell Forum (SFC): Small Cells. What’s the Big Idea? (SFC document 030.07.03). http://scf.io/en/documents/030_-_Small_cells_big_ideas.php

  8. Østerbø, O., Grøndalen, O.: Benefits of self-organizing networks (SON) for mobile operators. J. Comput. Netw. Commun. 2012(862527), 1–16 (2012)

    Google Scholar 

  9. Ramiro, J., Hamied, K.: Self-Organizing Networks. Self-planning, self-optimization and self-healing for GSM. UMTS and LTE. Wiley, Hoboken (2012)

    Google Scholar 

  10. 5G-Public Private Partnership (5G-PPP): Advanced 5G Network Infrastructure for the Future Internet – “Creating a Smart Ubiquitous Network for the Future Internet” (2013)

    Google Scholar 

  11. European Telecommunications Standards Institute: Network Functions Virtualisation - Introductory White Paper (2012). http://portal.etsi.org/NFV/NFV_White_Paper.pdf

  12. Mosharaf, N.M., Chowdhury, K., Boutaba, R.: A survey of network virtualization. Comput. Netw. 54(5), 862–876 (2010)

    Article  MATH  Google Scholar 

  13. SESAME H2020 5G-PPP Project. http://www.sesame-h2020-5g-ppp.eu/Home.aspx

  14. Nadeau, T.D., Gray, K.: Software Defined Networks, 1st edn. O’Reilly, Sebastopol (2013)

    Google Scholar 

  15. Haleplidis, E., Salim, J.H., Denazis, S., et al.: Towards a network abstraction model for SDN. J. Netw. Syst. Manag. 23(2), 309–327 (2015)

    Article  Google Scholar 

  16. https://www.vmware.com/pdf/hypervisor_performance.pdf

  17. Manzalini, A., Minerva, R., Callegati, F., Cerroni, W., Campi, A.: Clouds of virtual machines in edge networks. IEEE Commun. Mag. 51(7), 63–70 (2013)

    Article  Google Scholar 

  18. Schubert, L., Jeffery, K.: Advances in Clouds – Research in Future Cloud Computing. European Commission (2012)

    Google Scholar 

  19. Loeffler, B: Cloud Computing: What is Infrastructure as a Service? https://technet.microsoft.com/en-us/library/hh509051.aspx

  20. Chochliouros, I.P., et al.: Challenges for defining opportunities for growth in the 5G era: the SESAME conceptual model. In: Proceedings of the EuCNC-2016, pp. 1–5 (2016)

    Google Scholar 

  21. Small Cell Forum: Small Cells and 5G Evolution: A Topic brief. (Document 055.07.01). http://scf.io/en/documents/055__Small_cells_and_5G_evolution_a_topic_brief.php

  22. Fajardo, J.O., Liberal, F., et al.: Introducing mobile edge computing capabilities through distributed 5G cloud enabled small cells. Mob. Netw. Appl. 21(4), 564–574 (2016)

    Article  Google Scholar 

  23. Costa, C.E., Goratti, L.: SESAME essential architecture features. In: Proceedings of the EuCNC-2016, pp. 1–5 (2016)

    Google Scholar 

  24. Erikksson, M.: Small cells as a service: rethinking the mobile operator business. Arctos Lab (2014). http://timelab-wp-media.s3-eu-west-1.amazonaws.com/arctoslabs/Small_Cells_as_a_Service.pdf

  25. Vaquero, L.M., Rodero-Merino, L.: Finding your way in the fog: towards a comprehensive definition of fog computing. ACM SIGCOMM Comput. Commun. Rev. 44(5), 27–32 (2014)

    Article  Google Scholar 

  26. Giannoulakis, I., Khodashenas, P.S., et al.: Enabling technologies and benefits of multi-tenant multi-service 5G small cells. In Proceedings of the EuCNC-2016, pp. 1–5 (2016)

    Google Scholar 

  27. European Telecommunications Standards Institute: Network Functions Virtualization (NFV); Architectural Framework. (GS NFV 002 V1.1.1) (2013)

    Google Scholar 

  28. Krebs, R., Momm, C., Kounev, S.: Architectural concerns in multi-tenant SaaS applications. In: Proceedings of CLOSER 2012, pp. 1–6. SciTePress (2012)

    Google Scholar 

  29. Hoffmann, M., Staufer, M.: Network virtualization for future mobile networks: general architecture and applications. In: Proceedings of the ICC-2011, pp. 1–5. IEEE (2011)

    Google Scholar 

  30. Tso, F.P., et al.: Network and server resource management strategies for data centre infrastructures: a survey. Comput. Netw. 106, 209–225 (2016)

    Article  Google Scholar 

  31. Blanco, B., Fajardo, J.O., Liberal, F.: Design of cognitive cycles in 5G networks. In: Iliadis, L., Maglogiannis, I. (eds.) AIAI 2016. IAICT, vol. 475, pp. 697–708. Springer, Cham (2016). doi:10.1007/978-3-319-44944-9_62

    Chapter  Google Scholar 

  32. Son, I., Lee, D., Lee, J.-N., Chang, Y.B.: Market perception on cloud computing initiatives in organizations: an extended resource-based view. Inf. Manag. 51(6), 653–669 (2014)

    Article  Google Scholar 

  33. Chochliouros, Ioannis P., et al.: A model for an innovative 5G-Oriented architecture, based on small cells coordination for multi-tenancy and edge services. In: Iliadis, L., Maglogiannis, I. (eds.) AIAI 2016. IAICT, vol. 475, pp. 666–675. Springer, Cham (2016). doi:10.1007/978-3-319-44944-9_59

    Chapter  Google Scholar 

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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).

Author information

Authors and Affiliations

  1. Hellenic Telecommunications Organization (OTE) S.A., 99, Kifissias Avenue, 15124, Maroussi, Athens, GR, Greece

    Ioannis P. Chochliouros, Anastasia S. Spiliopoulou, Alexandros Kostopoulos, Maria Belesioti, Evangelos Sfakianakis, Philippos Georgantas & Eirini Vasilaki

  2. INCITES Consulting S.A.R.L., 130, Route d’Arlon, 8008, Strassen, Luxembourg

    Ioannis Neokosmidis & Theodoros Rokkas

  3. SmartNet S.A., 2, Lakonias Street, 17342, Agios Dimitrios, Attica, GR, Greece

    Athanassios Dardamanis

Authors
  1. Ioannis P. Chochliouros
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  2. Anastasia S. Spiliopoulou
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  3. Alexandros Kostopoulos
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  4. Maria Belesioti
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  5. Evangelos Sfakianakis
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  6. Philippos Georgantas
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  7. Eirini Vasilaki
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  8. Ioannis Neokosmidis
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  9. Theodoros Rokkas
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  10. Athanassios Dardamanis
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Corresponding author

Correspondence to Ioannis P. Chochliouros .

Editor information

Editors and Affiliations

  1. Politecnico di Milano, Milan, Italy

    Giacomo Boracchi

  2. Democritus University of Thrace, University Campus, Xanthi, Greece

    Lazaros Iliadis

  3. School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, United Kingdom

    Chrisina Jayne

  4. Univesity of Ioannina, Ioannina, Greece

    Aristidis Likas

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65171-2

  • Online ISBN: 978-3-319-65172-9

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