Advances of Edge Computing in Distributed Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 86
Special Issue Editor
Interests: AI policy and smart cities; urban planning; internet of things and heterogeneous wireless networks; cloud/edge computing; machine learning; cybersecurity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue on Advances of Edge Computing in Distributed Systems focuses on the next generation of edge computing technologies and their integration with emerging innovations in distributed systems. As we move towards increasingly decentralized infrastructures, edge computing is positioned at the forefront, enabling low-latency, high-bandwidth, and privacy-preserving solutions. The issue will explore how cutting-edge advancements, such as 6G networks, AI-driven edge analytics, autonomous systems, and blockchain, are transforming edge computing paradigms. Key topics include the integration of edge computing with the Internet of Things (IoT) in smart cities, autonomous vehicles, and industrial IoT (IIoT); the deployment of AI and machine learning models at the edge to enable real-time decision making; and the development of edge-enabled decentralized systems for enhanced security, privacy, and resource optimization. Furthermore, the issue will explore how next-gen technologies like quantum computing and distributed ledger technologies are poised to reshape edge computing frameworks. The contributions will highlight novel architectures, algorithms, and protocols that address the challenges of scalability, reliability, and security in dynamic, heterogeneous environments, paving the way for the future of distributed systems.
Dr. Ali Jalooli
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence at the edge
- autonomous systems
- blockchain in edge computing
- quantum computing
- distributed ledger technologies
- edge–cloud integration
- privacy-preserving computation
- decentralized systems
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