CFP: Special Issue on AI-driven Sustainable Cloud/Edge System
Special Issue on AI driven Sustainable Cloud/Edge System in Sustainable Computing: Informatics and Systems (SUSCOM) journal
Scope
It is essential to broadly make intelligence an integral part of every sustainable computing work, but more importantly in cloud/edge systems due to their inherent closeness to the physical world we live in. With that in mind, we see extensive research on intelligence in cloud/edge systems, which has manifested itself in the development of exciting new systems including those that improve efficiency, reduce cost, optimize sustainability or bring new business venues to bear. Additionally, and although more mature Artificial Intelligence (AI) work targeting sustainable cloud/edge system is out there, there is a need for incredibly more. Hence this proposed special issue, which aims to bring together academic researchers, industry practitioners, and individuals working in related areas to bring their state-of-the-art research ideas, concepts, views, latest findings, and results and share them with the community at large. Both theoretical and empirical studies are encouraged.
Topics and submission system are available on the special issue web site.
Topics
- Intelligent data preprocess, communications and integration for Cloud-Edge system
- Low energy consumption solutions for next-generation sensor networks, integrating edge computing and artificial intelligence
- Power-efficient multi/many-core chip designs, architectures for machine learning and AI
- The design of AI-enabled sustainable hardware aspects in edge-cloud environment
- Intelligence based power and thermal management
- AI-powered privacy protection in Cloud-Edge environment
- Network function virtualization technologies that leverage Cloud/Edge intelligence
- Energy-efficient fault-tolerant mechanism for cloud/edge computing
- The integration of distributed and decentralized signal processing via AI algorithms
- AI-driven communication-aware design between Cloud and Edge
- 5G-enabled intelligence services for Cloud/Edge system
- Advanced workload allocation and offloading mechanisms
- Efficient power delivery and cooling system in data center
- Novel techniques and future perspectives for edge-cloud computing cooperation Performance measurement, analytical modeling, and simulation
- New opportunities, challenges, case studies, and applications of Cloud/Edge-AI
- Computational AI methods for sustainable economy and society
- Data center network and routing protocol for efficient cloud/edge system
- Energy-efficient Processing between Cloud/Edge and IoT Devices
- QoS-aware computing, communication-aware design between Cloud/Edge system
- Distributed and decentralized signal processing via AI algorithms
- Data center organization and optimization
Important Dates:
- Manuscript due date: January 31st, 2022
- First decision notification: March 31st, 2022
- Tentative publication schedule: Last quarter of 2022