Practical Edge Analytics: Architectural Approach and Use Cases

We present a novel, industry-first approach to the deployment of a practical, edge analytics framework and describe the instantiation of a framework under challenging constraints within heterogeneous environments. We propose an approach for industry deployment where knowledge graphs are used to capture domain knowledge for reusability, maintainability, and data stream communication normalization for infrastructure instantiation. Our approach decouples the model knowledge from the development knowledge in a deployment and is presented through an in-flight use case from a large oil and gas client. The presented unique graph approach addresses the key challenge requirements of existing heterogeneous hardware and software deployment with open environment constraints as well as providing an agnostic logical abstraction layer residing over existing hardware and software layers enabling ease of orchestration. Through the framework and use case we demonstrate how to employ an edge analytics framework that integrates existing systems agnostically and seamlessly.