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The OpenFog Consortium was an association of major tech companies aimed at standardizing and promoting fog computing.. Fog computing [1] [2] or fog networking, also known as fogging, [3] [4] is an architecture that uses edge devices to carry out a substantial amount of computation (edge computing), storage, and communication locally and routed over the Internet backbone.
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.
Examples include: sunrise, weather, ... fog, thunder, tornadoes; biological ... natural phenomena have been observed by a series of countless events as a feature ...
Distance fog is a technique used in 3D computer graphics to enhance the perception of distance by shading distant objects differently. [1]Because many of the shapes in graphical environments are relatively simple, and complex shadows are difficult to render, many graphics engines employ a "fog" gradient so objects further from the camera are progressively more obscured by haze and by aerial ...
Fog robotics mainly consists of a fog robot server and the cloud. [3] It acts as a companion to cloud by shoving the data near to the user with the help of a local server. . Moreover, these servers are adaptable, consists of processing power for computation, network capability, and secured by sharing the outcomes to other robots for advanced performance with the lowest possible late
Smartdust [1] is a system of many tiny microelectromechanical systems (MEMS) such as sensors, robots, or other devices, that can detect, for example, light, temperature, vibration, magnetism, or chemicals.
The goals of green computing include optimising energy efficiency during the product's lifecycle; leveraging greener energy sources to power the product and its network; improving the reusability, maintainability, and repairability of the product to extend its lifecycle; improving the recyclability or biodegradability of e-waste to support ...