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

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.

[1]  Zdenek Becvar,et al.  Dynamic resource allocation exploiting mobility prediction in mobile edge computing , 2016, 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[2]  Peter Kilpatrick,et al.  Challenges and Opportunities in Edge Computing , 2016, 2016 IEEE International Conference on Smart Cloud (SmartCloud).

[3]  Kaibin Huang,et al.  Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading , 2016, IEEE Transactions on Wireless Communications.

[4]  Zdenek Becvar,et al.  Mobile Edge Computing: A Survey on Architecture and Computation Offloading , 2017, IEEE Communications Surveys & Tutorials.

[5]  Keith Kirkpatrick,et al.  Software-defined networking , 2013, CACM.

[6]  Kim-Kwang Raymond Choo,et al.  A multi-objective software defined network traffic measurement , 2017 .

[7]  Yiming Li,et al.  Software defined networking: State of the art and research challenges , 2014, Comput. Networks.

[8]  Qianbin Chen,et al.  Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing , 2017, IEEE Transactions on Wireless Communications.