fog computing


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fog computing

Processing and storing data in the local network in combination with the cloud (the Internet). The fog model pertains to the massive amounts of data generated by sensors in machine-to-machine computing (M2M). For example, offshore oil fields and refineries can generate a terabyte of data per day. An airplane can create multiple terabytes of data per hour. These capacities would strain communications networks if all the data were sent over the Internet to a central datacenter for processing.

Cisco's IOx
Router giant Cisco coined this term to support the Internet of Things (IoT) with its IOx platform (Cisco's IOS router operating system and Linux operating system). Decisions are made in the routers at the edge of the network, and transactions that do not need immediate responses can be stored and processed locally or delivered to the cloud at off hours.

Close to the Ground
The "fog" name was chosen because natural fog is near the ground and away from the clouds. See Internet of Things, MEC and router.
References in periodicals archive ?
The fog computing platform provides a highly scalable solution for IoT devices and applications.
Another work evaluated the appropriateness of fog computing in the perspective of IoT environments.
Bandwidth Management VMs Live Migration in Wireless Fog Computing for 5G Networks.
A Resourceful Technique for Virtual Machine Migration in Fog Computing.
The movement of data to the "edge" of the cloud and devices to the edge of networks enables fog computing.
In 2015, both Cisco and BSC-CNS operated a full-scale fog computing proof of concept with a view to dramatically cutting down the complexity, costs, operations and the time needed for deploying smart city solutions across the region.
New fog computing and tactical cloudlet technologies are enabling real-time analytics and other computational functions to be performed at the tactical edge of a network, right at the data source for example, soldiers on the battlefield.
The OpenFog Consortium is a public-private ecosystem formed to accelerate the adoption of Fog Computing in order to solve the bandwidth, latency and communications challenges associated with the Internet of Things (IoT).
In working with other OpenFog members, Toshiba will contribute its extensive expertise in providing edge computing technology to help propel the development of fog computing.
Developers using the AT&T Global SIM, AT&T Control Center and AT&T IoT Services now have access to Ciscos Fog computing solutions.
Specifically, you will see how to leverage Vortex to virtualize devices, integrate different protocols, flexibly execute analytics where it makes the most sense and leverage Cloud Computing as well as Fog Computing architectures.