Mobile Edge Computing (MEC) supports network function virtualization and it brings network service intelligence close to the network edge. MEC services provide low level radio and network information to authorized applications. Communication between MEC services and applications is according to the principles of Service–oriented Architecture (SOA). In this paper, we propose an approach to design application programming interfaces for MEC Web Services that may be used by RAN analytics applications to adapt content delivery in real–time improving quality of experience to the end users. Web Service interfaces are mapped onto network protocols.


Mobile Edge Computing 5G Radio Resource Control Radio Network Information Services Service oriented Architecture Behavioral models 



The research is in the frame of project DH07/10-2016, funded by National Science Fund, Ministry of Education and Science, Bulgaria.


  1. 1.
    Nunna, S., Ganesan, K.: Mobile Edge Computing. In: Thuemmler, C., Bai, C. (eds.) Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare, pp. 187–203. Springer, Cham (2017). doi: 10.1007/978-3-319-47617-9_9 CrossRefGoogle Scholar
  2. 2.
    Gupta, L., Jain, R., Chan, H.A.: Mobile edge computing - an important ingredient of 5G networks. In: IEEE Softwarization Newsletter (2016)Google Scholar
  3. 3.
    Chen, Y., Ruckenbusch, L.: Mobile edge computing: brings the value back to networks. In: IEEE Software Defined Networks Newsletter (2016)Google Scholar
  4. 4.
    Roman, R., Lopez, J., Mambo, M.: Mobile edge computing, fog et al.: a survey and analysis of security threats and challenges. J. CoRR, abs/1602.00484 (2016)Google Scholar
  5. 5.
    Beck, M.T., Feld, S., Linnhhoff-Popien, C., Pützschler, U.: Mobile edge computing. Informatik-Spektrum 39(2), 108–114 (2016)CrossRefGoogle Scholar
  6. 6.
    Ahmed, A., Ahmed, E.: A survey on mobile edge computing. In: 10th IEEE International Conference on Intelligent Systems and Control (ISCO 2016), pp. 1–8 (2016)Google Scholar
  7. 7.
    Brown, G.: Mobile edge computing use cases and deployment options. In: Juniper White Paper, pp. 1–10 (2016)Google Scholar
  8. 8.
    ETSI GS MEC 003, Mobile Edge Computing (MEC); Framework and Reference Architecture, v1.1.1 (2016)Google Scholar
  9. 9.
    Sarria, D., Park, D., Jo, M.: Recovery for overloaded mobile edge computing. Future Generation Computer Systems, vol. 70, pp. 138–147. Elsevier (2017)Google Scholar
  10. 10.
    Beck, M., Werner, M., Feld, S., Schimper, T.: Mobile edge computing: a taxonomy. In: Sixth International Conference on Advances in Future Internet, pp. 48–54 (2014)Google Scholar
  11. 11.
    3GPP. TS 36.300 Evolved Universal Terrestrial Radio Access (EUTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description; Stage 2, Release 14, v14.0.0 (2016)Google Scholar
  12. 12.
    Fuchun, L., Qiansheng, Z., Xuesong, C.: Bisimilarity control of decentralized nondeterministic discrete-event systems. In: International Control Conference, pp. 3898–3903 (2014)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  1. 1.Technical University of SofiaSofiaBulgaria

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