The sharper edge of computing, powered by micro-modular data centres and 5G networks
Here’s a simple question. Can today’s networks handle tomorrow’s massive data? Right now, the answer is ‘probably not’. But with the introduction of 5G cellular connectivity in the UK and beyond, and the emergence of specialised data centres at the edge, new possibilities are emerging in how data can be turned into the information advantage. And enable the answer to that question into a ‘yes’.
With the growing prevalence of bandwidth-hungry applications and technologies, like the Internet of Things, artificial intelligence in its many forms, and simple reliance on connectivity for everyone, it becomes clear why a sharper focus on the edge is inevitable.
The challenge, laid bare
As devices perform actions at the endpoint, signals travel over the network to the data centre, where processing happens, with the results sent back to where required. The problem rapidly arising is directly linked to the explosion of data generated by all the devices.
We are not just talking about the smartphones and tablets the seven billion people on the planet own that constantly generate data. It’s also vehicle telemetry, signals from environmental monitoring devices, businesses with hundreds or thousands of workers, gadgets and IoT sensors of every conceivable kind.
Now, people and devices are one thing. The quantity of data they generate is quite another. It’s almost as if we’re running out of suitably impactful measures of just how much data we’re talking about. By 2025, it will be an estimated 175 zettabytes.
What all those devices and data mean, in the simplest of terms which lays bare the implications for cloud computing, is that the pipes are just not big enough to transport it from the point of origin, to a data centre, and back again. As Cole Crawford, CEO of Texas-headquartered solutions provider Vapor IO puts it, “There simply is not enough fibre in the ground.”
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With computing, speed counts (and the edge delivers)
This brings us to another fundamental. Data is not the same thing as information. In fact, those 175 zettabytes of raw data are in some ways akin to bare land: it’s not an asset until you do something with it. With advanced applications like AI, speed absolutely counts. Timing is everything – you only need imagine a navigational decision by a self-driving car to appreciate this fact. Or consider how deteriorating performance from a key application can impact profitability.
And that’s why a new concept in data centres is emerging, providing organisations with the ability to put the processing where it’s needed.
Where many cloud data centres are centralised ‘hyperscale’ facilities, the edge is powered by micro-modular data centres.
This is what they look like: a small self-contained ‘block’ of data processing compute and storage capabilities co-located with existing infrastructure. Cellular towers, for example, are ideal locations not only because they typically can accommodate a micro-modular data centre, but also because they are the literal ‘infrastructure edge’ and therefore the very definition of the ‘last mile’ in connectivity.
Imagine, every time there is a ‘hop’ from one network to another (and there might be hundreds of hops between you and a hyperscale data centre), delays occur. This round trip creates latency.
But not when the computing is right there at the edge.
The edge in context
It’s never wise to predict the demise of anything in the technology space, as many production mainframes attest and the hyperscale data centre isn’t going anywhere. However, it is increasingly being complemented by edge micro-modular data centres and the processing these facilities put into the field.
As has always been the case for enterprise storage, the information generated by the edge devices and data centres will be tiered. It starts at the edge and will eventually offload to the ‘mother ship’ of the hyperscale data centre, where as its value decays it will be stored on assets of the appropriate performance and cost.
So here’s the crux of developments at the edge: Companies today need to examine how and where edge computing can add value in their businesses, understanding how they can tie in some of the more recent developments in technology, including automation and AI. It’s all about understanding how the edge can work for you.
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