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Fog Computing vs Edge Computing

Fog Computing vs Edge Computing

Fog computing is a decentralized computing infrastructure in which facts, compute, storage and programs are located somewhere among the records source and the cloud. Like edge computing, fog computing brings the benefits and electricity of the cloud towards where records is created and acted upon. Many people use the phrases fog computing and facet computing interchangeably, due to the fact both involve bringing intelligence and processing in the direction of in which the statistics is created. This is frequently done to enhance efficiency, though it may also be used for safety and compliance reasons.

The metaphor fog comes from the meteorological term for a cloud close to the ground, just as fog concentrates on the threshold of the network. The time period is often associated with Cisco; the company’s product line manager, Ginny Nichols, is believed to have coined time period. “Cisco Fog Computing” is a registered name; fog computing is open to the network at large.

Fog Computing vs Edge Computing

According to the Fog Consortium started by using Cisco, the key distinction between aspect and fog computing is wherein the intelligence and compute power is placed. In a strictly foggy environment, intelligence is at the local area network (LAN) and statistics is transmitted from endpoints to a fog gateway, wherein it’s far then transmitted to assets for processing and return transmission.

In facet computing, intelligence and energy can be placed in both the endpoint or a gateway. Proponents of side computing reward its discount of factors of failure, due to the fact each tool independently operates and determines which facts to save locally and which records to send to a gateway or the cloud for similarly analysis. Proponents of fog computing over area computing say it’s far greater scalable and offers a better big-photograph view of the community as multiple information factors feed facts into it.

It ought to be noted, however, that some network engineers don’t forget fog computing to be sincerely a Cisco logo for one approach to facet computing.

How fog computing works
It is essential to word that fog networking complements — not replaces — cloud computing; fogging permits for short-time period analytics at the edge, and the cloud performs resource-intensive, longer-term analytics. While edge gadgets and sensors are where records is generated and collected, they sometimes don’t have the compute and storage resources to perform superior analytics and machine-learning tasks. Though cloud servers have the strength to do these, they’re regularly too a long way away to manner the statistics and respond in a well timed manner. In addition, having all endpoints connecting to and sending raw records to the cloud over the net may have privacy, security and criminal implications, specifically when coping with sensitive statistics problem to rules in specific countries. Popular fog computing applications include smart grid, smart city, smart buildings, vehicle networks and software-defined networks.

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