Advances in AI-Driven 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: 20 October 2025 | Viewed by 74
Special Issue Editor
Interests: big data analysis; social media analysis; cloud computing; data mining; machine learning; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The growing demand for scalable, efficient, and intelligent computing has driven significant advancements in AI-powered distributed systems. This Special Issue focuses on the integration of AI techniques to enhance the performance, reliability, and adaptability of distributed architectures. Topics of interest include AI-driven resource management, intelligent task scheduling, fault tolerance, and security in distributed environments. Additionally, we welcome research on AI applications in cloud computing, peer-to-peer networks, and big data analytics, as well as innovative software engineering approaches for optimizing distributed systems. This Special Issue aims to bring together researchers and practitioners to share insights and developments that shape the future of AI-driven distributed computing.
Dr. Fabrizio Marozzo
Guest Editor
Manuscript Submission Information
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Keywords
- AI-powered distributed computing
- cloud computing and big data analytics
- intelligent resource management
- peer-to-peer networks and decentralized systems
- AI-enhanced fault tolerance and security
- scalable software engineering for distributed systems
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