Recently, edge computing had begun to include local hyperscale data centers. With this evolution, edge computing has now bring forth a new definition; hyperscale edge computing. Undeniably, hyperscale edge computing and the future is emerging. As hyperscale edge computing has no distinct definition, let’s start by understanding the foundation of this computing evolution through the term edge computing and hyperscale themselves.
What is edge computing?
The dawn of edge computing is due to the increase of massive data from the utilisation of IoT devices as well as the rise of 5G wireless. According to Gartner, edge computing can be defined as ‘part of a distributed computing topology where data processing is located close to the edge, where things and people produce or consume that data.’
What is hyperscale?
Again it is all about data. More specifically vast and abundance amount of data. Hence, hyperscale is a term referring to the capability of a computing system to rapidly accommodate with the increasing demand in internet-facing and back-end computing resources without the need of additional physical space or power supply.
Hyperscale edge computing and the future
Digital transformation, cloud migration, IT-OT convergence are everything that drive the growth of every organisation today. These technologies are the catalyst of the booming amount of data into the data centre. Edge computing through the edge devices such as IoT sensors, at its core, help reduce the workloads by analysing and processing the data from the IoT devices, sending only relevant data back to the data center or cloud. So imagine the contribution a hyperscale edge computing to organisation as it brings together the ability to reduce workload to data center and the capability to scale accordingly to business demands to implementation.
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