| 摘要 |
Methods and systems for determining a real-time performance model of systems that process multi-class workloads. The methods can include collecting measurement data, selecting a series of prior time windows, processing the measurement data to compute a set of constraints based on the measurement data from the series of prior time windows, augmenting the set of constraints to a measurement model to obtain an augmented measurement model and running a modified extended Kalman filter with the augmented measurement model to obtain a state estimate.
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