A Device for Fog Computing to Improve Big Data Analytics
Keywords:
Fog Computing, Big Data Analytics, Real-time Data ProcessingAbstract
By facilitating quicker processing, lower latency & more efficiency, fog computing devices are revolutionizing big data analytics. Fog computing processes data locally, minimizing network congestion & dependence on constant cloud connectivity, in contrast to typical cloud-based systems that encounter constraints from centralized data processing. Real-time analytics is supported by this method, which is essential for applications such as autonomous systems, smart cities, IoT, and healthcare. Edge devices may conduct sophisticated analytics even in low-connectivity settings by integrating Artificial Intelligence & Machine learning models, improving security & also their privacy by reducing the transfer of sensitive data.
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