ARCHITECTURE AND METHODOLOGY FOR PERFORMING REAL-TIME AUTONOMOUS ANALYTICS OVER MULTIPLE ACTUAL AND VIRTUAL DEVICES

摘要

A device for performing autonomous analytics comprises one or more adaptors, device hierarchy data, and an analytic executive. The adaptors are configured to adapt data streams from one or more heterogeneous data sources into a tagged dataset. The device hierarchy data comprises an identification of one or more hierarchical relationships between the device and one or more additional devices. The analytic executive is configured to identify a plurality of relevant devices based on the device hierarchy data and collect device data from each of the plurality of relevant devices. The analytic executive is further configured to generate a collection of analytic models using the collected device data, score one or more new data items included in the tagged dataset using the collection of analytic models, yielding scored results, and use one or more business rules to trigger an action based on the scored results.