Towards Extracting Realistic User Behavior Models

dc.contributor.author	Jung, Reiner
dc.contributor.author	Adolf, Marc
dc.contributor.author	Dornieden, Christoph
dc.date.accessioned	2023-03-02T10:54:08Z
dc.date.available	2023-03-02T10:54:08Z
dc.date.issued	2017
dc.description.abstract	Workloads can be characterized by intensity and user behavior. Combining multiple intensities and behaviors can be used to create workload profiles to evaluate software design and support the prediction of system utilization. The central challenge for workload profiles is their fit to real workloads and in particular the match to specific behaviors. This is especially relevant for understanding and identifying specific user groups and support workload composition by operators. In this paper, we address the identification of such realistic user behaviors utilizing domain specific attributes, evaluate the fitness of potential behavior clustering approaches, and discuss our setup to evaluate further clustering approaches.	en
dc.identifier.pissn	0720-8928
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/40610
dc.language.iso	en
dc.publisher	Geselllschaft für Informatik e.V.
dc.relation.ispartof	Softwaretechnik-Trends Band 37, Heft 3
dc.title	Towards Extracting Realistic User Behavior Models	en
dc.type	Text/Journal Article
gi.citation.endPage	13
gi.citation.publisherPlace	Bonn
gi.citation.startPage	11
gi.conference.sessiontitle	Sonderteil: Proceedings of the 8th Symposium on Software Performance (SSP), Karlsruhe, 09. - 10. November 2017

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