Device failure prediction using filter-based feature selection and a conformal prediction framework

A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device to perform steps of:

• obtaining monitoring data for a plurality of devices in an information technology infrastructure, the monitoring data comprising a plurality of features;
• determining two or more rankings of the plurality of features using two or more filter-based feature selection algorithms;
• selecting a subset of the plurality of features based at least in part on the two or more rankings of the plurality of features;
• generating a failure prediction for at least a given one of the plurality of devices, wherein the failure prediction for the given device is generated using at least one classifier that takes as input the selected subset of the plurality of features;
• applying a conformal prediction framework to the generated failure prediction to obtain a confidence measure indicating a quality of the generated failure prediction and a credibility measure indicating a quality of the monitoring data;
• and
• initiating one or more remedial actions in the information technology infrastructure based at least in part on the generated failure prediction, the confidence measure indicating the quality of the generated failure prediction, and the credibility measure indicating the quality of the monitoring data;
• wherein at least one of the one or more remedial actions comprises modifying a configuration of at least one of one or more hardware components and one or more software components of at least one of the plurality of devices in the information technology infrastructure.

A method comprising:

• obtaining monitoring data for a plurality of devices in an information technology infrastructure, the monitoring data comprising a plurality of features;
• determining two or more rankings of the plurality of features using two or more filter-based feature selection algorithms;
• selecting a subset of the plurality of features based at least in part on the two or more rankings of the plurality of features;
• generating a failure prediction for at least a given one of the plurality of devices, wherein the failure prediction for the given device is generated using at least one classifier that takes as input the selected subset of the plurality of features;
• applying a conformal prediction framework to the generated failure prediction to obtain a confidence measure indicating a quality of the generated failure prediction and a credibility measure indicating a quality of the monitoring data;
• and
• initiating one or more remedial actions in the information technology infrastructure based at least in part on the generated failure prediction, the confidence measure indicating the quality of the generated failure prediction, and the credibility measure indicating the quality of the monitoring data;
• wherein at least one of the one or more remedial actions comprises modifying a configuration of at least one of one or more hardware components and one or more software components of at least one of the plurality of devices in the information technology infrastructure;
• and
• wherein the method is performed by at least one processing device comprising a processor coupled to a memory.