Cloud-Fog-Edge Computing Synergies for IoT and Smart Sensing Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 20 July 2026 | Viewed by 8
Special Issue Editors
Interests: efficient resource management techniques for large scale distributed systems (cloud and edge/fog systems), with emphasis on fault-tolerant and energy-aware scheduling algorithms; digital forensics and cyber security
Special Issues, Collections and Topics in MDPI journals
Interests: cloud computing; edge and fog computing; large-scale data processing; mobile device forensics; resource management systems; decision support systems; medical informatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The computing landscape is undergoing a fundamental paradigm shift, transitioning from centralized cloud dependencies to a distributed, multi-tier architecture. As the Internet of Things (IoT) and real-time applications proliferate, the isolation of computing paradigms is no longer viable. This Special Issue, "Cloud-Fog-Edge Computing Synergies for IoT and Smart Sensing Systems," aims to explore the convergence of these distinct layers into a seamless, unified continuum.
While Cloud computing offers virtually unlimited storage and processing power, it faces challenges regarding latency and bandwidth. Conversely, Edge and Fog computing provide proximity to data sources but suffer from resource limitations. The future lies in the synergy between these tiers—dynamic orchestration where tasks are intelligently offloaded and managed across the spectrum based on real-time requirements.
We invite researchers to submit original papers and review articles that address the complexities of integrating these architectures. We are particularly interested in work that demonstrates how the collaborative interplay of Cloud, Fog, and Edge can optimize performance, enhance security, and enable next-generation applications such as autonomous systems, smart cities, and Industry 5.0.
Dr. Massimo Canonico
Dr. Marco Guazzone
Guest Editors
Manuscript Submission Information
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Keywords
- cloud-edge continuum
- fog computing
- resource orchestration
- computation offloading
- edge AI/federated learning
- distributed computing
- IoT architecture
- smart sensing systems
- 5G/6G networks
- low-latency services
- multi-access edge computing (MEC)
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