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Author Smirni, Evgenia ♦ Zhang, Eddy Zheng ♦ Casale, Giuliano
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract We present the KPC-Toolbox, a set of MATLAB scripts for fitting workload traces into Markovian Arrival Processes (MAPs) in an automatic way. Given that the MAP parameterization space can be very large, we focus on first determining the order of the smallest MAP that can fit the trace well using the Bayesian Information Criterion (BIC). Having determined the order of the target MAP, the KPC-Toolbox automatically derives a MAP that captures accurately the moments and temporal dependence of the trace. We present experiments showing the effectiveness of the KPC-Toolbox in fitting traces that are well-documented in the literature as very challenging ones to fit.
Description Affiliation: College of William & Mary, Williamsburg, VA (Zhang, Eddy Zheng; Casale, Giuliano; Smirni, Evgenia)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-01-10
Publisher Place New York
Journal ACM SIGMETRICS Performance Evaluation Review (PERV)
Volume Number 36
Issue Number 2
Page Count 4
Starting Page 75
Ending Page 78

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Source: ACM Digital Library