Modeling Transient Trace Data
نویسندگان
چکیده
This paper introduces a novel technique to construct an empirical workload model tting time-varying (transient) trace data. The trace can be a categorical or numerical time-series. We model the trace as a Piecewise Independent stochastic process. To estimate the parameters for our model we rst build a Rate Evolution Graph from the trace data. Piecewise linear regression is then used to construct a joint time-dependent probability mass function for the trace data. Two methods are proposed to build a parsimonious model. The modeling approach is demonstrated by the application of our model to twelve traces from the performance analysis domain.
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