Abstract
This chapter presents a novel idea that leverages technologies such as intelligent agent-based control and cloud computing to enhance business and operations intelligence in the industrial automation domain. We present the infrastructure framework for an analytics orchestrator that orchestrates high-level analytics required for proactive control of real-time applications. The programming model that has been used to develop applications using the infrastructure is also described here. The analytics orchestrator is designed to be scalable, flexible, and reusable to enable any user to interface with the analytics framework. We also present a use case where we have used cloud services to develop a remote monitoring application for an energy system.
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