FogComputingBegriffe

Fog computing, also known as fogging, is a decentralized computing infrastructure where data, compute, storage, and applications are located closer to the edge of the network, where data is generated, rather than relying on a central cloud. This proximity reduces latency and bandwidth consumption, making it ideal for applications that require real-time processing and quick responses.

Key terms associated with fog computing include: edge computing, which is a broader concept encompassing any computing performed outside of a centralized data center; cloudlet, a small, localized data center that provides cloud-like services to a nearby area; mist computing, a more granular form of fog computing where computation is pushed even closer to the data source, often to individual devices; and the Internet of Things (IoT), which generates the vast amounts of data that fog computing is designed to process efficiently.

Fog computing enables a range of applications, including smart cities, industrial automation, connected vehicles, and healthcare monitoring, by providing localized processing and analysis of data. It acts as an intermediary layer between edge devices and the cloud, optimizing data flow and enabling faster decision-making. The architectural design of fog computing allows for distributed data storage and processing, leading to improved scalability and resilience. It addresses the limitations of traditional cloud computing by bringing computational resources closer to the end-users and devices.