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Edge Computing Volume 3: Minimizing Infrastructure Demands

In our first volume on edge computing, we discovered that it is a method of optimizing cloud computing systems by processing data as close to the source as possible, otherwise known as the edge of the network.

In our second volume, we dug deeper into how edge computing relates to the Internet of Things (IoT) and why it’s important to use in conjunction with cloud computing as the number of IoT devices continues to increase. In our third volume, we will explore how edge computing can help to minimize data center infrastructure demands.

Meeting Demands

The number of IoT devices that exist continues to grow and as a result, so does the volume of traffic between the devices and the computing systems. This traffic is placing a considerable strain on data center infrastructure. Cloud computing systems especially feel the strain, as many applications that are used daily are cloud based. As pressure is put on these systems by data processing requests, they are often slowed down.

Building data centers quickly enough to manage the growing data processing demands is becoming more difficult. To ease this strain, many in the data center industry are beginning to use edge computing. By moving a portion or in some cases all of the data processing to the edge, it can be managed more efficiently, and it also reduces the resources needed to deliver the processed data back to the user or the IoT device.

Micro Data Centers

As a result of edge computing, many data centers are now building flexible solutions that can be tailored to the specific demands of the customer. These “micro data centers” are standalone rack systems that can contain nearly the functionality of a traditional data center might. Micro data centers essentially minimize the physical footprint and the energy consumed by the traditional data center.

Places like factories, warehouses and large stores need the computing capacity to process data, or a subset of the big data in near real-time, so micro data centers are a good solution. These micro data centers are often located far away from where the primary data center network is, which means they operate at the edge of the network. Here, they can process data at the time it is needed and later send that data back to the main network.

This reduces the need for extra infrastructure where the main network is located. It also reduces the amount of pressure being put on the cloud computing systems, so they don’t bottleneck or slow down.

For more information on reducing infrastructure needs through edge computing, please contact our team today.