Tool Support for Automated Workload Model Creation from Web Server Logs

D4 Published development or research report or study


Internal Authors/Editors


Publication Details

List of Authors: Ferdrik Abbors, Dragos Truscan, Tanwir Ahmad
Publisher: Turku Center for Computer Science (TUCS)
Place: Turku
Publication year: 2014
ISBN: 978-952-12-3077-6


Abstract

We present a tool-supported approach on creating load models that can be used for performance testing. The models are created automatically from historical web access log data. The result is a stochastic model represented by Probabilistic Timed Automata (PTA) and describes how users interact with a system. Stochastic models have more advantages over traditional models that simply play back scripted or pre-recorded traces: they are easier to create and maintain and achieve higher coverage of the tested application. The purpose of these models is to mimic real user behavior as closely as possible when generating load.


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Last updated on 2019-21-10 at 04:59