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Explained: From the cloud, computing moves to the edge

By 2025, says the global research and advisory firm Gartner, companies will generate and process more than 75% of their data outside of traditional centralised data centres — that is, at the “edge” of the cloud.

Edge computing enables data to be analysed, processed, and transferred at the edge of a network.

Cloud computing — by which remote servers hosted on the Internet store and process data, rather than local servers or personal computers — is ready to move to the next level. Amazon, Microsoft, and Alphabet, the parent company of Google — the technology giants that provide cloud computing infrastructure to major corporates and governments — want to leverage 5G wireless technology and artificial intelligence to enable faster response times, lower latency (ability to process very high volumes of data with minimal delay), and simplified maintenance in computing.

This is where Edge Computing comes in — which many see as an extension to the cloud, but which is, in fact, different in several basic ways. By 2025, says the global research and advisory firm Gartner, companies will generate and process more than 75% of their data outside of traditional centralised data centres — that is, at the “edge” of the cloud.

So, what is edge computing?

Simply put, edge computing enables data to be analysed, processed, and transferred at the edge of a network. The idea is to analyse data locally, closer to where it is stored, in real-time without latency, rather than send it far away to a centralised data centre. So whether you are streaming a video on Netflix or accessing a library of video games in the cloud, edge computing allows for quicker data processing and content delivery.

How is edge computing different from cloud computing?

The basic difference between edge computing and cloud computing lies in where the data processing takes place.

At the moment, the existing Internet of Things (IoT) systems perform all of their computations in the cloud using data centres. Edge computing, on the other hand, essentially manages the massive amounts of data generated by IoT devices by storing and processing data locally. That data doesn’t need to be sent over a network as soon as it processed; only important data is sent — therefore, an edge computing network reduces the amount of data that travels over the network.

And how soon can edge computing become part of our lives?

Experts believe the true potential of edge computing will become apparent when 5G networks go mainstream in a year from now. Users will be able to enjoy consistent connectivity without even realising it.

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Nvidia, one of the biggest players in the design and manufacture of graphics and AI acceleration hardware, has just announced its EGX edge computing platform to help telecom operators adopt 5G networks capable of supporting edge workloads. The new Nvidia Aerial software developer kit will help telecom companies build virtualised radio access networks that will let them support smart factories, AR/VR and cloud gaming.

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Anuj Bhatia is a personal technology writer at indianexpress.com who has been covering smartphones, personal computers, gaming, apps, and lifestyle tech actively since 2011. He specialises in writing longer-form feature articles and explainers on trending tech topics. His unique interests encompass delving into vintage tech, retro gaming and composing in-depth narratives on the intersection of history, technology, and popular culture. He covers major international tech conferences and product launches from the world's biggest and most valuable tech brands including Apple, Google and others. At the same time, he also extensively covers indie, home-grown tech startups. Prior to joining The Indian Express in late 2016, he served as a senior tech writer at My Mobile magazine and previously held roles as a reviewer and tech writer at Gizbot. Anuj holds a postgraduate degree from Banaras Hindu University. You can find Anuj on Linkedin. Email: anuj.bhatia@indianexpress.com ... Read More

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