IoT Cost: How Will It Affect Cloud and Edge Strategies?

As previously posted in IoT Evolution

The Industrial Internet of Things (IIoT) has many benefits for industrial organizations, enabling them to generate valuable business ideas that can improve everything from efficiency to productivity. However, as these companies begin to adopt IIoT strategies, questions arise about the financial implications of these implementations - specifically, "What kind of computing is right for my business?"

 

In truth, cloud computing and advanced computing are essential for a successful IIoT infrastructure, however, IIoT cost and ROI will determine the level at which each plays a role.

 

As companies begin to leverage wireless analytics and cloud connectivity, costs can skyrocket. The very nature of the cloud model is pay-as-you-go, so as companies move forward with their IIoT strategies and begin to make progress, they realize that cloud infrastructure is only part of their overall IIoT equation.

 

This is a hybrid cloud world

Operators are learning that certain processes cannot be outsourced to the cloud when it comes to real-time computing requirements. However, advanced computing platforms can act as localized storage points for multiple sensors, allowing real-time feedback analysis and preprocessing so that only the data is sent to the cloud. This hybrid technique also reduces the number of attack surfaces if data is collected from multiple touchpoints.

 

Frontier systems support a wide range of applications including localized SCADA, HMI, archiver, and can be supplied at competitive prices. The data they collect can be used for real-time analysis on the shop floor to improve operations, including advanced process control and predicting device failures. Edge devices also send certain information to management systems and the cloud for use in asset performance management, post-processing analysis, or planning..

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