Logo des Repositoriums
 

Modeling Complex User Behavior with the Palladio Component Model

Kurzanzeige
dc.contributor.authorVögele, Christian
dc.contributor.authorHeinrich, Robert
dc.contributor.authorHeilein, Robert
dc.contributor.authorvan Hoorn, André
dc.contributor.authorKrcmar, Helmut
dc.date.accessioned2023-03-13T10:09:57Z
dc.date.available2023-03-13T10:09:57Z
dc.date.issued2015
dc.description.abstractThe specification of workloads is required in order to evaluate performance characteristics of application systems using performance prediction approaches like the Palladio Component Model (PCM). One of the biggest challenges in workload modeling is to ensure that the modeled user behavior adequately resembles the real user behavior. However, PCM offers limited support to model such complex user behavior. Furthermore, reusing modeled activities is not possible. To overcome these limitations, workarounds are required. In order to avoid these workarounds, we extend the meta-model of the PCM Usage Model. We evaluate the extended PCM Usage Model by integrating it into our previous work on automatic extraction of workload specifications. Based on HTTP web logs, recorded from the standard industry benchmark SPECjEnterprise2010, instances of a domain-specific language (DSL) for modeling workload specifications are extracted. Afterwards, these instances are transformed to the extended PCM Usage Model. The evaluation shows that workload characteristics of the simulated workload match the measured workload with high accuracy.en
dc.identifier.pissn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40779
dc.language.isoen
dc.publisherGeselllschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 35, Heft 3
dc.subjectmeasurement techniques
dc.subjectmodeling techniques
dc.titleModeling Complex User Behavior with the Palladio Component Modelen
dc.typeText/Journal Article
gi.citation.publisherPlaceBonn
gi.conference.sessiontitleSonderteil: Proceedings of the Symposium on Software Performance (SSP) 2015, 4. - 6. November 2015, Munich, Germany

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild
Name:
SSP_2015_paper_19.pdf
Größe:
357.46 KB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

Softwaretechnik-Trends 35(3) - 2015