A Comparative Analysis of Cloud, Fog, and Edge Computing: Concepts, Applications, and Future Trends
Keywords:
Cloud computing, Fog computing, and Edge computing, AI and Machine Learning, 5G and 6G networksAbstract
This paper covers the comparative analysis of Cloud, Fog, and Edge computing paradigms based on the unique capabilities that would satisfy the growing requests in modern applications. It starts by looking at each of the paradigms’ architecting foundation, focusing on the core functionalities and operating principles. The critical theme of this study is that these paradigms converge and bring more efficient and scalable solutions to complex computational problems. It is a paper that focuses on how AI and Machine Learning change the way edge computing improves decision-making and processes by doing real-time analytics closer to where the data actually lies. Robust security in protecting sensitive information while ensuring privacy is also covered. The paper explores emerging network technologies 5G and 6G, showing how they might change the connectivity landscape and enhance performance in Fog and Edge computing models. By incorporating insights from the latest research and real-world case studies, the paper offers a detailed perspective on how these paradigms are shaping the future of computing. This paper serves to finally uncover the valuable vision of what today’s and even future’s state looks like and which potential this branch of technology might acquire in terms of Cloud, Fog, and Edge.
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