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Real-time performance modeling of software systems with multi-class workload

机译:具有多类工作负载的软件系统的实时性能建模

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.
机译:用于确定处理多类工作负载的系统的实时性能模型的方法和系统。该方法可以包括:收集测量数据;选择一系列先前时间窗口;基于来自一系列先前时间窗口的测量数据,处理测​​量数据以计算一组约束;将一组约束扩展到测量模型以获得扩展测量模型,并使用扩展测量模型运行修改后的扩展卡尔曼滤波器,以获得状态估计。

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