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A QoE Based Trustable SDN Framework for IoT Devices in Mobile Edge Computing

  • Hamid Tahaei
  • Kwangman Ko
  • Wonjeong Seo
  • Suchong Joo
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 474)

Abstract

The rapid growth of mobile services and Internet of Things (IoT), have caused a severe demand of a management system for Mobile Edge Computing (MEC) where User Equipments (UEs) benefit from high computational power, capacity and communication as well as the offered services by MEC. However, a comprehensive management is required to orchestrate the services and resource in MEC to fairly distribute to UEs with the aim of ensuring the Quality of Experience (QoE). In this paper, we propose a new and trustable framework for MEC management/orchestration system with crucial security and authentication components by which it ensures the delivery of users’ quality of experience.

Keywords

Network virtualization Edge mobile computing  Software defined network IoT security and authentication 

Notes

Acknowledgement

This work was supported by Basic Science Research Program through the Ministry of Education of Republic of Korea and National Research Foundation (NRF-2017-R1D1A1B03029210).

References

  1. 1.
    Varghese, B., et al.: Challenges and opportunities in edge computing. In: IEEE International Conference on Smart Cloud (SmartCloud). IEEE (2016) Google Scholar
  2. 2.
    Mach, P., Becvar, Z.: Mobile edge computing: a survey on architecture and computation offloading. IEEE Commun. Surv. Tutorials, 19(3), 1628–1656 (2017) CrossRefGoogle Scholar
  3. 3.
    Jammal, M., et al.: Software defined networking: state of the art and research challenges. Comput. Netw. 72, 74–98 (2014)CrossRefGoogle Scholar
  4. 4.
    Wang, C., et al.: Computation offloading and resource allocation in wireless cellular networks with mobile edge computing. IEEE Trans. Wirel. Commun. 16, 4924–4938 (2017)CrossRefGoogle Scholar
  5. 5.
    You, C., et al.: Energy-efficient resource allocation for mobile-edge computation offloading. IEEE Trans. Wirel. Commun. 16(3), 1397–1411 (2017)CrossRefGoogle Scholar
  6. 6.
    Plachy, J., Becvar, Z., Strinati, E.C.: Dynamic resource allocation exploiting mobility prediction in mobile edge computing. In: 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE (2016)Google Scholar
  7. 7.
    Kirkpatrick, K.: Software-defined networking. Commun. ACM 56(9), 16–19 (2013)CrossRefGoogle Scholar
  8. 8.
    Le Callet, P., Moller, S., Perkis, A.: Qualinet white paper on definitions of Quality of Experience (QoE). In: Output from the Fifth Qualinet Meeting (2013)Google Scholar
  9. 9.
    Tahaei, H., et al.: A multi-objective software defined network traffic measurement. Measurement 95, 317–327 (2017)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Hamid Tahaei
    • 1
  • Kwangman Ko
    • 2
  • Wonjeong Seo
    • 3
  • Suchong Joo
    • 3
  1. 1.Department of Computer Science and Information TechnologyUniversity of MalayaKuala LumpurMalaysia
  2. 2.Department of Computer EngineeringSangji UniversityWonjuSouth Korea
  3. 3.Department of Computer Software EngineeringWonkwang UniversityIksanSouth Korea

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