REVIEWING THE TRANSFORMATIONAL IMPACT OF EDGE COMPUTING ON REAL-TIME DATA PROCESSING AND ANALYTICS

REVIEWING THE TRANSFORMATIONAL IMPACT OF EDGE COMPUTING ON REAL-TIME DATA PROCESSING AND ANALYTICS

March 2024 | Oluwole Temidayo Modupe, Aanuoluwapo Ayodeji Otitoola, Oluwatayo Jacob Oladapo, Oluwatosin Oluwatimileyin Abiona, Oyekunle Claudius Oyeniran, Adebunmi Okechukwu Adewusi, Abiola Moshood Komolafe, Amaka Obijuru
This review article explores the transformative impact of edge computing on real-time data processing and analytics. Edge computing, which brings computational resources closer to data sources, offers several advantages over traditional cloud-centric approaches, including reduced latency, enhanced responsiveness, and improved data privacy and security. The review delves into the architectural framework of edge computing, highlighting its components such as edge nodes, gateways, and servers. It emphasizes how edge computing facilitates real-time data processing and analytics, enabling autonomous decision-making and predictive insights. The article also examines the practical applications of edge computing across various sectors, including healthcare, manufacturing, transportation, and smart cities, where it enhances operational efficiency, ensures data security, and drives business optimization. Additionally, the review discusses the future prospects of edge computing, including the integration with emerging technologies like 5G, AI, and blockchain, and the potential for new business models and ecosystems. Overall, edge computing is poised to revolutionize data processing and analytics, providing organizations with a competitive edge in today's dynamic business landscape.This review article explores the transformative impact of edge computing on real-time data processing and analytics. Edge computing, which brings computational resources closer to data sources, offers several advantages over traditional cloud-centric approaches, including reduced latency, enhanced responsiveness, and improved data privacy and security. The review delves into the architectural framework of edge computing, highlighting its components such as edge nodes, gateways, and servers. It emphasizes how edge computing facilitates real-time data processing and analytics, enabling autonomous decision-making and predictive insights. The article also examines the practical applications of edge computing across various sectors, including healthcare, manufacturing, transportation, and smart cities, where it enhances operational efficiency, ensures data security, and drives business optimization. Additionally, the review discusses the future prospects of edge computing, including the integration with emerging technologies like 5G, AI, and blockchain, and the potential for new business models and ecosystems. Overall, edge computing is poised to revolutionize data processing and analytics, providing organizations with a competitive edge in today's dynamic business landscape.
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