Edge/Fog Computing and Blockchain for Reliable Time-Critical Applications

Dear Colleagues,

Edge/Fog Computing has received tremendous attention from both academia and industry since they provide reliable and diverse solutions for the time-critical application of Internet of things (IoT). Edge/fog computing not only helps reduce system latency but also improves the quality of service of time-critical applications. Edge/Fog enables artificial intelligence at the edge, which makes intelligence computing closer to users. The integration of edge/fog computing and machine learning provides smart solutions for the new development direction addressing the limitations of traditional AI-based IoT systems.

Based on the decentralization, immutability, and consensus characteristics of Blockchain, it has been applied for addressing the limitations of centralized cloud-based systems. However, Blockchain requires intensive computations and a large latency for task completion. These make Blockchain not an optimal candidate for time-critical applications. Hence, the combination of Edge/Fog Computing and Blockchain form Edge–Blockchain systems provide new possibilities for further developments that aim to improve reliability and quality of service for time-critical systems.

This “Edge/Fog Computing and Blockchain for Time-Critical Applications” Special Issue welcomes scholars, experts, and researchers in the related area to submit their contributions focusing on some of the key challenges in the context of Edge/Fog computing and Blockchain, providing new solutions and ideas. The topics of interest for this Special Issue include, but are not limited to:

• New paradigms, concepts, and architectures for Edge–Blockchain systems
• Edge/Fog computing-based algorithms/method design for Edge–Blockchain systems
• Edge and Fog artificial intelligence for secure IoT applications
• Privacy-enhancing technology in Edge–Blockchain systems
• Trust-enhancing technology in Edge–Blockchain systems
• Low-quality data detection techniques for Edge–Blockchain systems
• Security and robustness for data-oriented Edge computing
• Edge computing/machine learning for reliabilities, security, privacy, energy efficiency, trust, and data integrity in Edge–Blockchain systems
• Edge-based data processing and data fusion for Edge–Blockchain systems
• Big data, machine learning, AI, and analytics for Edge–Blockchain systems
• Application, prototypes, and testbed for Edge–Blockchain systems

Dr. Tuan Nguyen Gia
Dr. Omar Cheikhrouhou
Guest Editors

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