The Role of Edge Computing in Real-Time Analytics for Smart City Healthcare Applications
Abstract
This research paper investigates the pivotal role of edge computing in advancing real-time analytics within the context of smart city healthcare applications. As urban health systems increasingly rely on the Internet of Things (IoT) for data generation, the paper explores how edge computing, situated closer to the data source, enhances the efficiency and responsiveness of healthcare analytics. The study delves into the technical aspects of edge computing, emphasizing its capacity to process data locally, reducing latency and bandwidth usage. Key considerations include the integration of edge devices, data security, and the potential impact on healthcare decision-making. The findings contribute valuable insights into optimizing smart city healthcare through the strategic deployment of edge computing.
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