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FOG Computing: The new Paradigm

Hathal Salamah A. Alwageed. Published in Information Systems.

Communications on Applied Electronics
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Hathal Salamah A. Alwageed
10.5120/cae2015651946

Hathal Salamah A Alwageed. Article: FOG Computing: The new Paradigm. Communications on Applied Electronics 3(5):21-27, November 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Hathal Salamah A. Alwageed},
	title = {Article: FOG Computing: The new Paradigm},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {3},
	number = {5},
	pages = {21-27},
	month = {November},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

As the Internet of Everything (IoE) heats up, Cisco engineers put forward a new networking, compute, and storage paradigm that extends to the edge of the network [http://newsroom.cisco]. Fog Computing is a paradigm that stretches out or extends Cloud Computing and services to the systems or network edge. Like Cloud, Fog gives information/data, process or compute, storage, and application services to end-clients. The recognizing Fog attributes are its closeness to end-clients, its tightly packed geographical conveyance or distribution, and its backing for mobility. Services are facilitated at the network edge or even end devices, for example, set-top-boxes or end points. Thusly, Fog diminishes services latency, and enhances QoS, bringing about prevalent client experience. Fog Computing holds up up-and-coming Internet of Everything (IoE) applications that request real timing/unsurprising latency (Industrial computerization/automation, transportation, sensors networks and actuators). On account of its geographical distribution the Fog paradigm is very much situated for real-time huge information or big data and analytics. Fog bolsters compactly distributed data collection points, subsequently adding a fourth pivot to the frequently specified Big Data measurements such as volume, variety, and velocity.

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Keywords

Cloud Computing, Distributed Computing, Networking, IoT