Description: The fog computing framework is a structured approach to implementing fog computing solutions and architectures, focusing on distributing computing, storage, and network resources close to end-user devices. This model allows for processing data closer to the source, reducing latency and improving efficiency in information transmission. Unlike cloud computing, which relies on centralized data centers, fog computing extends the cloud to the edge of the network, facilitating faster responses and more efficient bandwidth usage. Key features of this framework include the ability to handle large volumes of data generated by IoT (Internet of Things) devices, enhanced security by keeping data closer to its origin, and resource optimization by distributing workloads across multiple nodes. This approach is particularly relevant in environments where immediacy in data processing is crucial, such as in various applications including industrial automation, smart cities, healthcare systems, and more. In summary, the fog computing framework represents a significant evolution in how data is managed and processed, offering more agile solutions tailored to contemporary connectivity and information processing needs.
