Technique for validating a prognostic-surveillance mechanism in an enterprise computer system

A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for validating a prognostic-surveillance mechanism for detecting anomalies that arise during operation of a computer system using synthesized signals, the method comprising:

• obtaining telemetry data comprising a set of raw signals gathered from sensors in the computer system during operation of the computer system, wherein the telemetry signals are gathered over a monitored time period;
• for each raw signal in the set of raw signals,
• decomposing the raw signal into deterministic and stochastic components, and
• generating a corresponding synthesized signal in a set of synthesized signals based on the deterministic and stochastic components of the raw signal, wherein the synthesized signal is generated for a simulated time period, which is longer than the monitored time period by at least two orders of magnitude;
• and
• using the set of synthesized signals to validate one or more performance metrics of the prognostic-surveillance mechanism.

A system that validates a prognostic-surveillance mechanism for detecting anomalies that arise during operation of a computer system using synthesized signals, comprising:

• a service processor, comprising a monitoring mechanism and a validation mechanism that,
• obtains telemetry data comprising a set of raw signals gathered from sensors in the computer system during operation of the computer system, wherein the telemetry signals are gathered over a monitored time period;
• for each raw signal in the set of raw signals,
• decomposes the raw signal into deterministic and stochastic components, and
• generates a corresponding synthesized signal in the set of synthesized signals based on the deterministic and stochastic components of the raw signal wherein the synthesized signal is generated for a simulated time period, which is longer than the monitored time period by at least two orders of magnitude;
• and
• uses the set of synthesized signals to validate one or more performance metrics of the prognostic-surveillance mechanism.