With the explosive growth of smart devices and the advent of many new applications, mobile traffic volume has been growing exponentially. The myriad technological advances proposed for the 5G networks still mostly focus on the capacity increase, which is constrained by the limited spectrum resources as well as the diminishing profits for operators and, therefore, will always lag behind the growth rate of mobile traffic. Therefore, distributed architectures, which bring network functions (such as computing and caching) and contents to the edge, emerges, i.e., mobile edge computing and caching, to confront the aforementioned challenges in the network development and many emerging applications, such as AR/VR, autonomous driving, gaming.
However, on the way towards efficient and intelligent network edge computing and caching, there are many open problems ahead. From the computing part, how to flexibly utilize the distributed computing resources at the network edge, such as mobile computing or fog computing is of significance. Moreover, to be offloaded to the edge node and when to offload also call for research attentions. From the caching part, what, when, where and how to cache the contents to reduce the demand for radio resources are vital. Last but not the most, how to efficiently integrate computing and caching at the edge node and utilize the synergy of computing and caching also requires a breakthrough. This workshop aims to consolidate the timely and solid works of the current state-of-the-art in terms of fundamental research ideas and network engineering geared towards exploiting intelligent caching and computing at the network edge. The topics of interests related to edge caching and computing include (but are not limited to):
• System: Computation modeling, caching modeling, energy consumption modeling, etc.;
• Enabling technologies: e.g., SDN, NFV, CRAN, D2D, cloud/fog computing and networking, etc.;
• Application areas: vehicular networking, IoT, smart grid
• Context-aware schemes: incentive mechanism for computing and caching, pricing, game-theoretic approach, network economic, caching placement and delivery;
• Mobility management for mobile edge computing and proactive caching;
• Energy efficiency aspects: energy harvesting, energy storage, energy transfer;
• Security and privacy issue;
• Prototyping, test-beds and field trials.
Zhu Han, University of Houston, U.S.
Yang Yang, University, China