Automation of data mining for telemetry database of computer systems

The study is focused on the development of an automation platform performing data mining works on telemetry database for computer systems. Very common computer systems encounter failures in an unexpected manor. It is therefore valuable to have prognostics task for computer systems to minimize the situation of unexpected system failure. Data acquisition schemes employing telemetry techniques are considered the most effective method for the collection of in-service information for computer systems. However, analysis of the enormous telemetry database with high complexity is another important phase before useful knowledge can be extracted. In this research, an automatic data mining platform is reported for the extraction of useful knowledge from the telemetry database. This paper describes the structure and basic theories underlying the data mining of the telemetry database. Also, an automatic computer program capable of performing database management, filtering, data analysis and reporting is described. Some useful highlights generated with the platform are reported for the telemetry database.