Question
Explain applications of Fog computing.
Answer :
Word Count : 448
Fog computing, often referred to as edge computing, extends cloud computing capabilities to the edge of the network, closer to IoT devices. By processing data locally rather than sending it all to a centralized cloud, fog computing reduces latency, conserves bandwidth, and enhances real-time decision-making, which is crucial in IoT ecosystems. One of the primary applications of fog computing in IoT security is in smart cities. Traffic management systems, surveillance networks, and public utility monitoring generate massive volumes of data. Fog nodes process this data near the source, allowing immediate responses to security threats such as unauthorized access to surveillance feeds or anomalies in traffic patterns, ensuring both operational efficiency and public ______ ____ ___ ________ ______ _______.
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Fog computing, often referred to as edge computing, extends cloud computing capabilities to the edge of the network, closer to IoT devices. By processing data locally rather than sending it all to a centralized cloud, fog computing reduces latency, conserves bandwidth, and enhances real-time decision-making, which is crucial in IoT ecosystems. One of the primary applications of fog computing in IoT security is in smart cities. Traffic management systems, surveillance networks, and public utility monitoring generate massive volumes of data. Fog nodes process this data near the source, allowing immediate responses to security threats such as unauthorized access to surveillance feeds or anomalies in traffic patterns, ensuring both operational efficiency and public ______ ____ ___ ________ ______ _______.
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