The EDGE is becoming one of those over-hyped words, but the concepts are actually very simple, and important to our industry – especially in the application of analytics to the IoT and equipment systems.
When we talk about analytics at the “edge” we are referring to performing data acquisition and analytics functions as close to the data source as possible. For example, running SkySpark analytics on small IoT devices mounted directly on equipment systems or embedded within equipment controllers. The ability to run analytics at the Edge provides important benefits for many applications.
Greater reliability of data collection and reduced data latency
Isolation of Fieldbus Networks
Reduced data transfer costs and better performance on “constrained” networks
Improved application reliability and process continuity
Paul Bergquist Thu 1 Nov 2018
The EDGE is becoming one of those over-hyped words, but the concepts are actually very simple, and important to our industry – especially in the application of analytics to the IoT and equipment systems.
When we talk about analytics at the “edge” we are referring to performing data acquisition and analytics functions as close to the data source as possible. For example, running SkySpark analytics on small IoT devices mounted directly on equipment systems or embedded within equipment controllers. The ability to run analytics at the Edge provides important benefits for many applications.
In this highly informative article SkyFoundry’s John Petze helps demystify the term and highlight specific benefits from applying analytics at the edge. Read the Automated Buildings article by John Petze here