Abstract
The proliferation of Internet of Things (IoT) devices has resulted in unprecedented volumes of real-time data generated at the network edge. Traditional centralized cloud computing models face limitations in latency, bandwidth utilization, privacy, and reliability when processing time-sensitive IoT workloads. Edge computing addresses these challenges by decentralizing computation, storage, and analytics closer to data sources. This scholarly article examines the conceptual foundations, architectural models, enabling technologies, real-time processing frameworks, application domains, performance considerations, security implications, and future research directions of edge computing for real-time IoT data.
