Guest Editors
Prof. Jia Wu, Monash university, Australia
Prof. Peiyuan Guan, University of Oslo, Norway
Prof. Fangfang Gou, Guizhou University, China
Summary
Cloud-Fog Automation is a recently suggested digital architecture for IoT automation, facilitated by cutting-edge communication technologies. This approach deviates significantly from the traditional models, aiming to expedite the integration and synergistic effects of communication, computation, and control towards the forthcoming generation of industrial cyber-physical systems. This architecture is network-centric, harnessing the power of both cloud and fog technologies cooperatively to attain consistent and dependable connectivity, network computation, and network control. As a result, applications no longer have to rely on specific vendor hardware and software and could even be offered as a service with flexible technical and infrastructural demands, thereby providing immense business advantages. Given the introduction of new wireless technologies facilitating near-deterministic ultra-dependable low-latency communications, there is a rising demand for the joint design of optimal control and resource management strategies for time-sensitive IoT systems, emphasizing that the functional safety and security of these systems should remain uncompromised. Another priority is to enhance system-wide or application-level performance, fueled by 'goal-oriented communication' in the underlying communication technologies. Nonetheless, there are numerous unresolved research challenges to realize Cloud-Fog Automation, necessitating a thoughtful reconsideration and research to co-design and harmonize communication, computation and control. In specific, investigations on deterministic networking, computation virtualization, and network control/estimation for time-sensitive IoT systems could pave the way for innovative applications such as digital twins, robotics, virtual and augmented reality in advanced manufacturing, and etc.
This Special Issue aims to provide a forum for the latest advances in industrial communications, computing and control co-design, and endeavors to promote research, innovations, and applications to bridge the gap between theory and applications. We solicit high-quality original research papers on topics including, but not limited to:
Novel design metrics and optimization methodologies for communication, computing, and control co-design in next-generation IoT systems with Cloud-Fog Automation
Cross-layer optimization techniques of new IoT wireless technologies with control systems and computing frameworks
Cross-design of network architectures with control and computing requirements embedded for interoperability, heterogeneity, and scalability
Cross-design of virtualization technologies and control applications using optimal network scheduling and intelligent control algorithms
Cross-design of communication, computing, and control paradigms for efficient resource scheduling, sharing, service provisioning and management
Tight integration of security and privacy-preserving solutions across communications, computing, and control domains for system integrity
Keywords
IoT, Edge Computing, Cloud Computing, Real-time tasks, AI
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