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The ME distribution used during the fitting is a product of independent random variables that are easy to control in isolation. Consequently, the calculation of the CDF and the Mellin transform factorizes, making it possible to use these measures for the fitting without significant restriction on the distribution order. Trace-driven queueing simulations indicate that the resulting distributions yield highly accurate results.<\/jats:p>","DOI":"10.1145\/3626570.3626577","type":"journal-article","created":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T22:16:57Z","timestamp":1696285017000},"page":"15-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Fitting with matrix exponential mixtures generated by discrete probabilistic scaling"],"prefix":"10.1145","volume":"51","author":[{"given":"Julianna","family":"Bor","sequence":"first","affiliation":[{"name":"Imperial College London, London, England UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuliano","family":"Casale","sequence":"additional","affiliation":[{"name":"Imperial College London, London, England UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"William","family":"Knottenbelt","sequence":"additional","affiliation":[{"name":"Imperial College London, London, England UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Evgenia","family":"Smirni","sequence":"additional","affiliation":[{"name":"William and Mary"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Stathopoulos","sequence":"additional","affiliation":[{"name":"William and Mary"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,10,2]]},"reference":[{"issue":"5","key":"e_1_2_1_1_1","first-page":"719","article-title":"A Markovian approach for modeling packet traffic with long-range dependence","volume":"16","author":"Andersen A.","year":"1998","unstructured":"A. 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