CLOUD COMPUTING AND EDGE COMPUTING: CONVERGING TECHNOLOGIES FOR REAL-TIME DATA PROCESSING

Abstract

In the era of digital transformation, the demand for real-time data processing has become critical across various industries. As the volume and velocity of data increase, traditional cloud computing architectures are struggling to meet the latency and bandwidth requirements of time-sensitive applications. The emergence of Edge Computing in conjunction with Cloud Computing offers a promising solution to address these challenges by bringing computation and data storage closer to the source of data generation. This article explores the convergence of Cloud and Edge Computing, focusing on their complementary roles in real-time data processing. We discuss the core concepts of each technology, their unique capabilities, and how their integration can optimize system performance for applications in industries such as healthcare, manufacturing, and IoT. Through detailed analysis, case studies, and future trends, the paper highlights the potential of Cloud and Edge Computing to reshape the landscape of real-time data processing and their role in enabling the next generation of intelligent, responsive systems.