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


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. 4, 2018  Feb. 15, 2018
Notification of acceptance: March 16, 2018
Camera ready/registration due: March 31, 2018

Submission Guidelines

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

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