Fog Computing is a distributed computing paradigm that extends the cloud to the network's edge, placing computational resources, storage, and network services closer to data sources and end-users. Unlike traditional cloud computing, which centralizes resources, fog computing decentralizes them, creating a continuum from the cloud to the 'things' (IoT devices). This architecture enables real-time data processing, significantly reduces latency, and conserves network bandwidth by processing data locally rather than sending all raw data to a distant cloud. It is particularly vital for supporting decentralized applications, data analytics, and management within emerging 5G mobile networks, where it facilitates user-centric cybersecurity solutions requiring the collection and analysis of massive data traffic and network connections. Researchers and engineers in IoT, smart cities, autonomous vehicles, and telecommunications widely adopt fog computing to address the demands of low-latency, high-bandwidth applications.
Fog computing extends cloud services closer to where data is generated, such as smart devices and local networks. This helps process information faster, reduce delays, and manage large amounts of data locally, which is essential for new technologies like 5G and the Internet of Things.
Edge Computing, Mobile Edge Computing (MEC), Fog Networking
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