![]() This architecture in turn reduces the amount of bandwidth needed compared to if that data had to be sent all the way back to a data center or cloud for processing. For some applications, data may need to be processed as quickly as possible – for example, in a manufacturing use case where connected machines need to be able to respond to an incident as soon as possible.įog computing can create low-latency network connections between devices and analytics endpoints. + MORE AT NETWORK WORLD: What is edge computing and how it will change the network +Īccording to the OpenFog Consortium, a group of vendors and research organizations advocating for the advancement of standards in this technology, fog computing is “a system-level horizontal architecture that distributes resources and services of computing, storage, control and networking anywhere along the continuum from Cloud to Things.” Benefits of fog computingįundamentally, the development of fog computing frameworks gives organizations more choices for processing data wherever it is most appropriate to do so.
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