ICCNE 2018 - Workshop on Intelligent Computing and Caching at the Network Edge

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 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, novel 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, IoT, eHealth, autonomous driving , gaming etc.
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, what 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 modelling: Computation modelling, caching modelling, energy consumption modelling etc.;
• Enabling technologies: e.g., SDN, NFV, CRAN, D2D, cloud/fog computing and networking, etc.;
• Application areas: vehicular networking, IoT, smart grid etc;
• Novel network architecture: convergence of computing, communications and caching, content/information-centric network, cognitive computing and networking, big data analytic;
• Context-aware schemes: incentive mechanism for computing and caching, pricing, game theoretic approach, network economic etc, caching placement and delivery;
• Mobility management for mobile edge computing and proactive caching;
• Energy efficiency aspects: energy harvesting, energy storage, energy transfer, etc;
• Security and privacy issue;
• Prototyping, test-beds and field trials.
Submission Guidelines
Authors are invited to submit original papers of no more than 6 pages (standard IEEE proceedings, two-column, 10 pt font, etc.), including figures, tables, and references, in PDF format. Papers should be submitted through EDAS: https://www.edas.info/newPaper.php?c=24106&track=8...
Important dates
1. Paper Submission Deadline: Nov. 2, 2017
2. Notification of Acceptance: Dec. 15, 2017
3. Camera-Ready Submission: Jan. 12, 2018
Keynote speakers
Seppo Yrjola, Nokia
Meixia Tao, Shanghai Jiao Tong University, Shanghai, China
Workshop Organizers
• General Co-Chairs
Shiwen Mao, Auburn University, U.S, smao-AT-ieee.org
Matti Latva-Aho, University of Oulu, Finland, matti.latva-aho-AT-oulu.fi
• Program Co-Chairs
Sheng Zhou, Tsinghua University, China, sheng.zhou-AT-tsinghua.edu.cn
Zheng Chang, University of Jyvaskyla, Finland, zheng.chang-AT-jyu.fi
Yu Cheng, Illinois Institute of Technology, U.S., cheng-AT-iit.edu
• Publicity Co-Chairs
Jie Gong, Sun Yat-sen University, China, gongj26-AT-mail.sysu.edu.cn
Jie Xu, University of Miami, U.S., jiexu-AT-miami.edu