Guest Editors
Prof. Young-Sik Jeong, Dongguk University, South Korea
Prof. Laurence T. Yang, St. Francis Xavier University, Canada
Prof. Ji Su Park, Jeonju University, South Korea
Prof. Yi Pan, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
Summary
With the advent of 5G/6G networks, as services using the Internet of Things (IoT) are gradually spreading and disseminated throughout society and industry, numerous ICT services are emerging. As the flow and movement of data becomes vast due to these services, the amount of traffic and the number of processing tasks increase, causing problems such as network bandwidth problems, bottlenecks, and the risk of overloading the central server (cloud), so that the service cannot be provided immediately. In addition, as it is recently converged with technologies of big data, artificial intelligence, and IoT, new values such as new demand-creating AI convergence projects are created through data analysis, prediction, and autonomous control. Intelligent Edge-Cloud Platforms are being developed to integrate and provide these technologies, and this platform provides intelligent multi-service and resource management.
Topics of interest include, but are not limited to:
- Concepts, theory, standardization, and modeling for Intelligence Edge-Cloud Platform
- Resource Management in Intelligent Edge-Cloud Platform
- Multi-Service in Intelligent Edge-Cloud Platform
- AI based algorithm/method for Intelligent Edge-Cloud Platform
- Privacy and Security in Intelligent Edge-Cloud Platform
- Machine learning in Intelligent Edge-Cloud Platform
- Big Data Analysis in Intelligent Edge-Cloud Platform
- New Technology of Internet of Things/Edge/Fog/Cloud computing
Keywords
AI, Multi-Service, Resource Management, Intelligent, Edge-Cloud Platform
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