Guest Editors
Prof. Dr. Chin-Feng Lai
Email: cinfon@ieee.org
Affiliation: Department of Engineering Science, National Cheng Kung University, Tainan, 70101, Taiwan
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Research Interests: Cloud computing, Artificial Intelligence, Internet of Things
Summary
The rapid evolution of cloud computing and distributed systems has catalyzed the integration of omnipresent Artificial Intelligence (AI) into modern infrastructures. In the current digital age, AI transcends mere data analysis, becoming a transformative force that redefines computational frameworks, resource management, and system adaptivity. These developments pave the way for novel methodologies to address the increasing complexity and scale of modern applications.
The proliferation of AI-powered adaptive systems has brought unprecedented capabilities in managing distributed computations, fostering innovation across various domains including healthcare, finance, manufacturing, and IoT ecosystems. Despite these advances, challenges persist in ensuring scalability, efficiency, security, and adaptability in heterogeneous and dynamic environments. This Special Issue aims to address these critical aspects by exploring cutting-edge AI solutions designed to operate seamlessly within the cloud era's distributed landscape.
The special issue seeks to provide a comprehensive platform for the dissemination of innovative research, bridging the domains of AI, cloud computing, and distributed systems. It aims to gather multidisciplinary perspectives that offer theoretical advancements, practical implementations, and case studies addressing the challenges and opportunities in this domain. The scope includes, but is not limited to: Development of AI-driven adaptive frameworks for dynamic resource management in distributed systems. Novel algorithms and architectures supporting distributed AI and edge intelligence in cloud environments. Analysis of security, privacy, and ethical implications of AI in distributed systems. Enhancing interoperability and scalability in large-scale cloud-based AI solutions. Real-world applications demonstrating the transformative potential of omnipresent AI in various industries.
This Special Issue invites contributions that address the following areas:
AI-Powered Frameworks for Distributed Computation
Cloud Intelligence and Adaptive Systems
AI-Enhanced Optimization for Distributed Systems
Secure and Resilient AI Systems in Distributed Environments
Applications of Omnipresent AI in Distributed and Adaptive Systems
Emerging Paradigms in Distributed AI
Future Directions and Challenges in AI for Distributed and Adaptive Systems
Keywords
Omnipresent AI, Distributed Computation, Adaptive Systems, Cloud Intelligence, Edge Computing
Published Papers
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