GEC WRITHLON IS THE OFFICIAL BLOG OF GEETA ENGINEERING COLLEGE. BY THIS BLOG, WE ARE PROVIDING KNOWLEDGE REGARDING THE LATEST TECH RELATED NEWS, MODERN ENGINEERING INVENTIONS, SCIENTIFIC GADGETS, AND SCIENTIFIC THEORIES

GEC WRITHLON IS THE OFFICIAL BLOG OF GEETA ENGINEERING COLLEGE. BY THIS BLOG, WE ARE PROVIDING KNOWLEDGE REGARDING THE LATEST TECH RELATED NEWS, MODERN ENGINEERING INVENTIONS, SCIENTIFIC GADGETS, AND SCIENTIFIC THEORIES.

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Sunday 22 March 2020

FOG COMPUTING


Fog computing is an emerging technology that is used for the Internet of Things. Fog computing fetches data and services from the network center to the network edge. 


Similar to Cloud, data, compute, storage, application services are given to the end-users by the fog. Fog computing is a distributed computing model that fetches centralized located data storage, processing, and application and given to the network edge device (set-top box, access point). Fog computing is a technique that is locally hosted where the user uses the service. To be simplified fog computing is a model that provides IoT data processing, storage instead of sending it to cloud it is locally processed in smart devices. 


Both Cloud and fog structures are for computing, storage, and networking resources.

In fog computing data collected by sensors are not sent to cloud servers instead it is sent to devices like network edge or set-top box, routers, the access point for processing thus reducing the traffic due to low bandwidth. Fog computing improves the standard of service and also reduces latency. Small computing works are locally processed and responses are sent back to the end-users without the use of the cloud.


So, fog computing is emerging as a better option than cloud computing for smaller computing works. Fog computing plays a crucial role by reducing the traffic of knowledge to the cloud. Since the fog system is placed almost the info sources computation and communication aren't delayed.

CISCO gives us an example of the jet engine. Whenever the jet engine is connected to the internet, half an hour running time of the jet engine creates 10 TB of data. 


This huge data itself will create big traffic in the bandwidth which cannot be neglected. So comes the importance of fog computing. Fog computing is complementary to the cloud. Certain features of fog computing differentiate it from the cloud, Fog Computing is used for real-time interactions but cannot replace cloud computing as it is preferred for high-end batch processing. As the name suggests cloud system is placed at a distance whereas the fog system is placed locally near to the end-user.



EDGE COMPUTING
Edge computing allows data produced by the internet of things (IoT) devices to be processed closer to where it's created rather than sending it across long routes to data centers or clouds. Doing this computing closer to the sting of the network lets organizations analyze important data in near real-time – a requirement of organizations across many industries, including manufacturing, health care, telecommunications, and finance.



It is typically mentioned in IoT use cases, where edge devices would collect data – sometimes massive amounts of it – and send it all to a knowledge center or cloud for processing. Edge computing triage the info locally so a number of it's processed locally, reducing the back haul traffic to the central repository.


Typically, this is often done by the IoT devices transferring the info to an area device that has computing, storage, and network connectivity during a small form factor. Data is processed at the sting, and everyone or some of it's sent to the central processing or storage repository during a corporate data center, co-location facility or IaaS cloud.

AUTHOR:

DEEPIKA ARORA





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