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Fog computing, also called edge computing, is intended for distributed computing where numerous "peripheral" devices connect to a cloud. The word "fog" refers to its cloud-like properties, but closer to the "ground", i.e. IoT devices. [ 6 ]
The idea for a consortium centered on the advancement and dissemination of fog computing was thought up by Helder Antunes, a Cisco executive with a history in IoT, Mung Chiang, then a Princeton University professor and now President of Purdue University, [13] and Dr. Tao Zhang, a Cisco Distinguished Engineer and CIO for the IEEE Communications ...
Fog computing is a viable alternative to prevent such a large burst of data flow through the Internet. [144] The edge devices' computation power to analyze and process data is extremely limited. Limited processing power is a key attribute of IoT devices as their purpose is to supply data about physical objects while remaining autonomous.
Edge computing is a distributed computing model that brings computation and data storage closer to the sources of data. More broadly, it refers to any design that pushes computation physically closer to a user, so as to reduce the latency compared to when an application runs on a centralized data centre .
Subsea cloud computing is an architecture design to provide an efficient means of SIoT systems to manage large data sets. It is an adaption of cloud computing frameworks to meet the needs of the underwater environment. Similarly to fog computing or edge computing, critical focus remains at the edge.
In November 2015, Antunes co-founded and was elected as chairman of the board of directors for the newly formed OpenFog Consortium, a consortium founded by tech giants Microsoft, Cisco, Dell, Intel, ARM Holdings, and Princeton University, for the standardization and promotion of fog computing. [37] [38] The idea for fog computing consortium was ...
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