HyperStar2
Zhihao Shang, Tianhui Meng, Katinka Wolter · 2017
In this paper, we present HyperStar2, a tool for fitting Markov Arrival Processes (MAPs) to empirical data. HyperStar2 uses a two-step approach, where the first step is cluster-based fitting of phase-type distributions and the second step is the construction of a correlation matrix. In the first step, we use the cluster-based algorithm for Hyper-Erlang distribution fitting from HyperStar hyper2012. Based on the Hyper-Erlang fitting result and the clusters of samples, in the second step we construct the correlation matrix.