The 2018 International Workshop on Edge and Fog Computing for Intelligent IoT Applications (EFC-IoT)

Friday, May 11th, 2018


Workshop Organization

Steering Committee Chair:

Prof. Junshan Zhang, Arizona State University, Tempe, United States

Organization Committee:

Prof. Xu Chen, Sun Yat-sen University, Guangzhou, China

Prof. George Iosifidis, Trinity College Dublin, Ireland

Prof. Yan Zhang, University of Oslo, Norway

Prof. Yang Yang, Chinese Academy of Science, Shanghai, China

Call for Papers

With the rapid development and widespread penetration of artificial intelligence technology, a variety of novel mobile and intelligent Internet of Things (IoT) applications are emerging, such as mobile face recognition, smart video surveillance, flying ad hoc networks for precision agriculture, and smart homes. These intelligent applications are typically resource-hungry, run computationally-intensive machine learning algorithms (e.g., deep learning), and demand real-time processing. Due to physical size limitations, nevertheless, many mobile and IoT devices are in general resource-constrained with limited computing power, and often times cannot fulfill the stringent QoS requirements of these applications.

To mitigate these challenges, edge/fog computing has been proposed as a promising paradigm that leverages a multitude of collaborative end-user devices and near-user infrastructures to carry out a substantial amount of computation, storage, and communication tasks. As edge/fog computing is implemented at network edges, it promises low latency as well as agile computation augmenting services for device users. To successfully support intelligent IoT applications, therefore, there is a significant need for 1) exploring the efficient deployment of edge/fog computing services at the network edges, 2) investigating novel algorithms of efficient edge/fog resource allocation, and 3) designing collaborative and distributed architectures specialized for edge/fog computing.

This workshop seeks original research papers on the design, implementation, evaluation and deployment of systems that embody any aspect of edge/fog computing for intelligent IoT applications. Topics include, but are not limited to:

  • Distributed and/or light-weight machine learning frameworks and algorithms for edge/fog computing;
  • Edge/fog computing architectures for mobile and IoT data mining and analytics;
  • Efficient edge/fog-cloud integration for the support of intelligent IoT applications;
  • Edge/fog -based real-time IoT applications and quality of service;
  • Distributed edge/fog storage system for intelligent IoT applications;
  • 5G edge network slicing for intelligent IoT applications;
  • 5G virtual network function (VNF) chaining for edge/fog driven intelligent IoT applications;
  • 5G end-to-end latency optimization for edge/fog driven intelligent IoT applications;
  • Joint bandwidth and computing resource provisioning for edge/fog computing;
  • Deployment and management of edge/fog services;
  • Stochastic optimization, optimal control and game theoretic methods for distributed edge/fog resource scheduling and allocation;
  • Programming models and runtime systems for edge/fog computing;
  • Security and privacy issues in edge/fog computing;
  • Business models and economic issues for edge/fog computing.

Important Dates

Paper submissions: Feb. 15, 2018
Notification of acceptance: March 16, 2018
Camera ready/registration due: March 31, 2018
Workshop Date: May 11, 2018

Submission Guidelines

Submitted papers consist of 6 pages, double column, IEEE format.
Submission link:

Program (May 11, 2018)

09:00 - 09:10

EFC-IoT Welcome and opening remarks from the Workshop Chairs

09:10 - 10:10

Keynote: Momentum-Based Resource Control and Optimization at the Edge of IoT

  Prof. Jia (Kevin) Liu, IEEE INFOCOM Best Paper Awardee (Iowa State University, United States)

10:10 - 10:30

Coffee break


Session I

Joint Computation and Communication Cooperation for Mobile Edge Computing
Xiaowen Cao, Feng Wang and Jie Xu (Guangdong University of Technology, P.R. China); Rui Zhang (National University of Singapore, Singapore); Shuguang Cui (University of California, Davis, USA)
Enhance the Edge with Beamforming: Performance Analysis of Beamforming-Enabled WLAN
Wen Wu, Qinghua Shen, Khalid Aldubaikhy and Nan Cheng (University of Waterloo, Canada); Ning Zhang (Texas A&M University at Corpus Christi, USA); Sherman Shen (University of Waterloo, Canada)
A D2D Offloading Approach to Efficient Mobile Edge Resource Pooling
Junkai Liu, Ke Luo, Zhi Zhou and Xu Chen (Sun Yat-sen University, P.R. China)
Multi-Attribute Selection of Maritime Heterogenous Networks Based on SDN and Fog Computing Architecture
Tingting Yang, Rui Wang and Zhengqi Wang (Dalian Maritime University, P.R. China); Jie Dong (Dalian University of Technology, P.R. China); Minghua Xia (Sun Yat-sen University, P.R. China)

12:10 - 14:00

Lunch break

14:00 - 15:00

Keynote: Distributed Optimization Frameworks for Edge and Fog Networking

Part I: Distributed Network Optimization: A Markov Approximation Perspective
Prof. Ziyu Shao (ShanghaiTech University, P.R. China)
Part II: Communication-censored ADMM for Decentralized Network Optimization
Prof. Qing Ling (Sun Yat-sen University, P.R. China)

15:00 - 15:20

Coffee break

15:20 - 17:20

Session II

A Semantic Mechanism for Internet-of-Things (IoT) to Implement Intelligent Interactions
Shujuan You and Xiaotao Li (China Mobile Research Institute, P.R. China); Wai Chen (China Mobile Research, P.R. China)
GHCC: Grouping-Based and Hierarchical Collaborative Caching for Mobile Edge Computing
Dewang Ren (Xi'an Jiaotong University, P.R. China); Xiaolin Gui (Xi'an Jiaotong University, P.R. China); Jian An (Xi’an Jiaotong University, P.R. China); Huijun Dai and Xin Liang (Xi'an Jiaotong University, P.R. China)
IoT Edge Computing in Quick Service Restaurants
Kerem Aytaç and Omer Korcak (Marmara University, Turkey)
A Joint Optimization Method for Data Offloading in D2D-enabled Cellular Networks
Teng Li (Harbin Engineering University, P.R. China)
Energy Efficient Scheduling for IoT Applications with Offloading, User Association and BS Sleeping in Ultra Dense Networks
Bowen Yu, Lingjun Pu, Qinyi Xie and Jingdong Xu (Nankai University, P.R. China)

17:20 - 17:25

EFC-IoT Closing remarks and farewell from the Workshop Chairs

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