[hpc-announce] CFP - Sensors Special Issue "Edge Computing-Based Intelligent IoT (ECIIoT): Architectures, Algorithms and Applications"

Xiao Liu xiao.liu at deakin.edu.au
Fri Oct 15 09:33:13 CDT 2021

Call for paper - Sensors Special Issue "Edge Computing-Based Intelligent IoT (ECIIoT): Architectures, Algorithms and Applications"
Deadline for manuscript submissions: 15 November 2021.

Dear Colleagues,
With the rapid growth of the Internet of Things (IoT) and 5G networks and beyond, the computing paradigm for intelligent IoT systems is shifting from conventional centralized cloud computing to distributed edge computing. Edge computing (i.e., fog computing) can effectively address the critical challenge of high latency faced by cloud computing by provisioning computing resources close to the IoT devices where massive data are being generated. More importantly, edge computing inherits the benefits of cloud services and emphasizes on the collaboration among cloud servers, edge servers, and end devices to achieve an optimized performance. However, there are still many open issues for edge-computing-based intelligent IoT systems.

The aim of this Special Issue is to promote the investigation of fundamental issues in edge-computing-based intelligent IoT systems from three perspectives, including architectures, algorithms, and applications. Specifically, potential topics include but are not limited to the following:

System architectures for edge-computing-based intelligent IoT systems;
Service and micro-service management at the cloud and edge;
Development tools including simulation toolkits for edge-computing-based intelligent IoT systems;
Collaborative resource management frameworks and task scheduling algorithms toward the cloud-edge-end continuum;
Innovative learning models at the edge for intelligent IoT applications;
Collaborative learning frameworks toward the cloud-edge-end continuum;
Security and privacy of edge-computing-based learning models;
Edge-computing-based workflow applications and workflow management for both scientific computing and business management;
Innovative applications in edge-computing-based intelligent IoT systems, such as in the area of autonomous driving, smart logistics, smart agriculture, and industry 4.0.

Dr. Xiao Liu
Dr. Jiong Jin
Prof. Dr. Fang Dong
Guest Editors

A/Prof. Xiao Liu BMgt, MMgt, PhD, SMIEEE, SMACM
Associate Head of School (International)
School of Information Technology, Deakin University
221 Burwood Hwy, Burwood, VIC 3125.
Deakin University CRICOS Provider Code 00113B

Ph: +61 3 92445428
e: xiao.liu at deakin.edu.au
office: T2.19, Melbourne Burwood Campus
w: https://sites.google.com/site/drxiaoliu/

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