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(2) Fog computing.
Fig. 1 Fog computing network architecture.
The first level is the level of fog computing.
Fog computing has its own supporting body, the OpenFog Consortium, founded in November 2015, whose mission is to drive industry and academic leadership in fog computing architecture.
The middle of the tri-tier architecture is the fog computing.
A FSDN is proposed in [58], which combines the Software Defined Networking (SDN) and Fog computing.
Several application cases like health care, augmented reality, brain machine interface and gaming, smart environments and vehicular fog computing are also presented to further explain fog computing application scenarios.
This will further drive the need for more efficient fog computing solutions that provide low latency and holistic intelligence simultaneously.
Other major players in the IoT industry are also placing their bets on the growth of fog computing.
Fog computing technology allows to perform data processing in terms of their cleaning and bringing to a common format.
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To implement the fog-computing architecture, traditional edge nodes are evolved to the fog-computing-based access point (F-AP) by being equipped with a certain caching, cooperative radio resource, and computation power capability [2, 18].
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