Mathur, AnupAbrams, Marc2013-06-192013-06-191996-10-01http://hdl.handle.net/10919/19941This paper introduces a novel technique to construct an empirical workload model fitting 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 first build a Rate Evolution Graph from the trace data. Piecewise linear regression is then used to construct a joint time-dependent probablity mass function for the trace data. Two methods are proposed to build a parsi- monious model. The modeling approach is demonstrated by the application of our model to twelve traces from the performance analysis domain.application/postscriptenIn CopyrightTechnical reportTR-96-14http://eprints.cs.vt.edu/archive/00000453/01/TR-96-14.ps