摘要:
A system that generates an electromagnetic interference (EMI) fingerprint for a computer system is presented. During operation, the system executes a load script on the computer system, wherein the load script includes a specified sequence of operations. Next, the system receives EMI signals generated by the computer system while executing the load script. The system then generates the EMI fingerprint from the received EMI signals.
摘要:
One embodiment provides a system that analyzes a target electromagnetic signal radiating from a monitored system. During operation, the system monitors the target electromagnetic signal using a set of antennas to obtain a set of received target electromagnetic signals from the monitored system. Next, the system calculates a weighted mean of the received target electromagnetic signals using a first pattern-recognition model. The system then subtracts the received target electromagnetic signals from the weighted mean of the received target electromagnetic signals to obtain a set of noise-reduced signals for the monitored system. Finally, the system assesses the integrity of the monitored system by analyzing the noise-reduced signals using a second pattern-recognition model.
摘要:
Some embodiments of the present invention provide a system that characterizes a computer system using a pattern-recognition model. First, values for an environmental parameter are monitored from a set of sensors associated with the computer system. Then, a baseline for the environmental parameter is calculated based on the monitored values from a subset of the set of sensors. Next, the baseline is subtracted from the monitored values from sensors in the set of sensors to produce compensated values. Then, the compensated values are used as inputs to the pattern-recognition model, which produces estimates for the compensated values based on correlations between the compensated values learned during a training phase. Next, residuals are calculated by subtracting the estimates for the compensated values from the compensated values. Then, the residuals are analyzed to characterize the computer system.
摘要:
One embodiment of the present invention provides a system that proactively monitors and detects metal whisker growth in a target area within a computer system. During operation, the system collects target electromagnetic interference (EMI) signals using one or more antennas positioned in the vicinity of the target area. Next, the system analyzes the target EMI signals to proactively detect the onset of metal whisker growth in the target area.
摘要:
A system that mitigates quantization effects in quantized telemetry signals. During operation, the system monitors a set of quantized telemetry signals. For a given quantized telemetry signal in the set of quantized telemetry signals, the system uses a set of models to generate a set of estimates for the given quantized telemetry signal from the other monitored quantized telemetry signals, wherein each model in the set of models was initialized using a different randomly selected subset of a training dataset. The system then averages the set of estimates to produce an estimated signal for the given quantized telemetry signal.
摘要:
A computer system to predict a value of a signal from a sensor schedule loads across a set of processor cores is described. During operation, the computer system generates N models to predict the value of the signal based on a set of quantized telemetry signals, where a given model produces a value of the signal using a subset of the set of quantized telemetry signals, and where the subset is selected from the set of quantized telemetry signals based on an objective criterion. Next, the computer system predicts the value of the signal by aggregating the values produced by the N models.
摘要:
A system that determines whether components are not present in a computer system is presented. During operation the system receives telemetry signals from sensors within the computer system. Next, the system dynamically generates a temperature map for the computer system based on the telemetry signals. The system then analyzes the temperature map to determine whether components are not present in the computer system.
摘要:
Some embodiments of the present invention provide a system that characterizes a computer system using a pattern-recognition model. First, values for an environmental parameter are monitored from a set of sensors associated with the computer system. Then, a baseline for the environmental parameter is calculated based on the monitored values from a subset of the set of sensors. Next, the baseline is subtracted from the monitored values from sensors in the set of sensors to produce compensated values. Then, the compensated values are used as inputs to the pattern-recognition model, which produces estimates for the compensated values based on correlations between the compensated values learned during a training phase. Next, residuals are calculated by subtracting the estimates for the compensated values from the compensated values. Then, the residuals are analyzed to characterize the computer system.
摘要:
One embodiment of the present invention provides a system that generates a synthetic workload to test power utilization in a computer system. During operation, the system monitors power utilization of a reference computer system while the reference computer system executes a workload-of interest, wherein the monitoring process produces a power profile. Next, the system determines characteristics of the workload-of-interest from the power profile. Finally, the system uses the determined characteristics to construct the synthetic workload, wherein the synthetic workload has similar power utilization to the workload-of-interest.
摘要:
Embodiments of the present invention provides a system that optimizes a regression model which predicts a signal as a function of a set of available signals. These embodiments use a genetic technique to optimize the regression model, which involves using a portion of the sample signals used to generate each parent regression model from a pair of best-fit parent regression models to generate a child regression model. In addition, in embodiments of the present invention, the system introduces “mutations” to the set of sample signals used to create the child regression model in an attempt to create more robust child regression models during the optimization process.