Exploring the Potential of Artificial Intelligence and Machine Learning in Fog Computing, Cloud Computing and Edge Computing: Benefits and Challenges

Exploring the Potential of Artificial Intelligence and Machine Learning in Fog Computing, Cloud Computing and Edge Computing: Benefits and Challenges

연구 분야: Networking

학회: 2025 International Conference on Intelligent Control, Computing and Communications (IC3)

The fusion of Artificial Intelligence (AI) and Machine Learning (ML) with distributed computing frameworks such as Fog Computing, Cloud Computing, and Edge Computing is vital for shaping the future of digital technology. “This review paper delves into the interplay between AI/ML and these distributed computing paradigms, exploring their fundamental concepts and structures. It examines how AI/ML technologies are integrated into these frameworks, resulting in improved resource management, enhanced data processing capabilities, and more intelligent decision-making at the network edges. The paper highlights real-world examples from various industries, including healthcare, finance, IoT, and Industry 4.0, showcasing the innovative breakthroughs driven by these technologies. However, it also acknowledges the challenges that need to be addressed, such as ethical concerns, security and privacy issues, and the need for standardized frameworks. The paper provides guidance for researchers, professionals, and policymakers to harness the synergies between these technologies, paving the way for a more efficient and intelligent computing landscape in the digital era.