IIoT/Cloud series, Part 2: Edge, Fog and Cloud
One (1) Certified Professional Development Hour (PDH) available for all attendees.
In the parlance of industrial automation, “the edge” has emerged as a term of considerable currency. The edge is found where the action is, at or near the industrial process. To relieve bandwidth constraints or inherent latencies, computational resources—from gateways to multi-purpose devices to computers—are being stationed at the edge. These computational resources located at the edge can filter or process data so that only what’s needed is transmitted to production control or enterprise systems. In this webcast, we’ll discuss how some of the options involved are evolving. Large volumes of streaming data can be executed at the edge, e.g., for domain control, human/machine interface, supervisory control (SCADA), and others. What’s called Fog processing takes place at the gateway level, where more processing power is available, but close enough to the equipment to support closed-loop control. On the other hand, manufacturing execution system (MES) applications, for example, may continue to rely on streaming data but with analytic capabilities that extend across multiple machines.Still other applications can be installed on a central server and used over a network, with converged sensors, instrumentation, and assets. What’s sent to the cloud is for enterprise applications involving such things as Big Data, digital twins or advanced analytics, i.e., where data latency isn’t a concern.Tune into this webcast to learn about the kinds of computing resources, as well as the applicable standards and protocols, applications, and data management options relevant to edge, fog and cloud.
- Why edge computing is an increasingly viable means of achieving enhanced monitoring and control of industrial processes.
- What’s different about Cloud and fog computing and what role to the two technologies will increasingly play in process control and automation.
- What types of application technologies will emerge on the basis of fog and Cloud, including analytics and machine learning.
- How edge fog and Cloud impact data management.
Ed Kuzemchak, CTO and Director of IoT, Software Design Solutions Inc.
Charles C. Byers, Associate Chief Technology Officer, Industrial Internet Consortium
Steve Hilton, Co-founder and President, MachNation
Kevin Parker, Senior Contributing Editor, CFE Media & Technology