Abstract
This study examines real-time data processing within the framework of edge computing, evaluating its importance, difficulties, and uses. It incorporates a thorough methodology that includes critical analysis, experimental findings, and a review of the literature. The goals are to comprehend the fundamentals of edge computing, assess its applicability to real-time data processing, and pinpoint its advantages and disadvantages. Results highlight how important edge computing is for lowering latency in data processing, saving bandwidth on networks, and improving scalability—especially for AR/VR and driverless car applications.
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