International Business Machines Corporation
HARDWARE, FIRMWARE, AND SOFTWARE ANOMALY HANDLING BASED ON MACHINE LEARNING

Abstract:

Aspects of the invention include detecting an anomaly in a database of hardware, firmware, and software events. An exemplary method includes determining whether a previously addressed anomaly is a duplicate of the anomaly, addressing the anomaly according to a state of the previously addressed anomaly based on the previously addressed anomaly being a duplicate of the anomaly, and addressing the anomaly according to machine learning based on the previously addressed anomaly not being the duplicate of the anomaly.