MECC 2018 - 1st Workshop on Mobile Edge Computing and Communications (MECC-18)

With recent rapid technological advances, new highly demanding mobile services and applications, such as face recognition, natural language processing and augmented reality, are constantly emerging. Traditional mobile networks are becoming incapable of meeting the growing demand not only in data rate but also in computational capability. Mobile edge computing (MEC) is an emerging computing paradigm that brings computation and storage resources to the edge of mobile network. The MEC enables it to run highly demanding applications at the mobile subscribers while meeting strict delay requirements. The objective of MEC is to extend the powerful computing and storage capabilities to the resource-constrained mobile devices (e.g., laptop, tablet and smartphone) so as to reduce computation time, conserve local resources, especially battery, and extend storage capacity.
This workshop aims to investigate the opportunities and requirements for Mobile Edge Computing and Communications. In addition, it seeks for novel contributions that help meeting Mobile Edge Computing challenges. That is, the objective of the workshop is to provide a forum for scientists, engineers, and researchers to discuss and exchange new ideas, novel results and experience on all aspects of Mobile Edge Computing and Communications. Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to:
Topics of interest:
Resource management in future Mobile Edge Networks
Decision on computation offloading
Allocation of computing resources
Mobility management for application offloading
Content caching for Mobile Edge Networks
Content Distribution Models in Mobile Edge Computing
QoS and Traffic Engineering in Mobile Edge Networks
Prototype platforms and trial deployment experience
Management and orchestration across compute, storage and network resources in future mobile edge networks
QoE in Mobile Edge Networks
Theoretical and experimental evaluations of mobile edge computing
Backhaul and fronthaul issues in Mobile Edge Networks