Call for Papers
CMC-Computers, Materials & Continua new special issue“Practical Application and Services in Fog/Edge Computing System”is open for submission now.
📆 Submission Deadline: 31 December 2024
👨🎓 Guest Editors
Prof. Hwa-Young Jeong, Kyung Hee University, South Korea
Prof. Neil Y. Yen, University of Aizu, Japan
Prof. Jason C. Hung, Taichung University of Science and Technology, Taiwan
📝 The main topics of this special issue are state-of-the-art technologies and research for practical use or application in the field of fog/edge computing with IoT. Real cases and technical studies in various fields are recruited with fog/edge computing technology, and research cases applied to fog/edge computing with artificial intelligence/deep learning are recruited.
📚 For submission guidelines and details, visit: https://www.techscience.com/cmc/special_detail/fog_edge-computing
Keywords
- Advanced Edge computing and analytics using big data
- Application and service of edge computing and security
- Practical service of Edge-as-a-Service (EaaS), Fog as a Service (FaaS)
- Distributed computation with 6G networks and edge computing
- Fog and edge computing technique and service for smart city
- High performance Storage as a service in Fog computing
- Practical Infrastructure as a Service (IaaS) in Fog/Edge computing
- Advanced Fog architecture using IoT sensing technique and service
- Practical IoT application and service with fog/edge computing
- Improved IoT-Fog-Cloud Architecture using Big-Data analytics
- Optimization of IoT-Fog Network Path
- The use of IoT based education application with fog/edge computing
- Advanced life change using IoT with fog/edge computing
- The development of deep learning models for cloud, edge, fog, and IoT computing
- The design and development of Cloud, fog and edge computing platforms
- The development and use of AI-based fog and edge computing
- The use of smart healthcare with fog/edge computing
- 6G network application and service with devices in IoT with fog/edge computing
- Processing and analysis of IoT based drone computation offloading with fog/edge computing