[hpc-announce] CFP: Special Issue on AI-driven Sustainable Cloud/Edge System in SUSCOM journal

[Georges Da Costa]

More information here: 
https://www.irit.fr/~Georges.Da-Costa/post/suscom-2020/

# 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](https://www.journals.elsevier.com/sustainable-computing-informatics-and-systems/call-for-papers/ai-driven-sustainable-cloud-edge-system-si-sustainable-ai-cloud-edge).

# 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

Best regards,

-- 
Georges Da Costa, Maître de conférences/Associate Prof.
My research: https://www.youtube.com/watch?v=V8AXcik-mXo