State dependence in performance evaluation of component-based software systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F10%3A00043330" target="_blank" >RIV/00216224:14330/10:00043330 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
State dependence in performance evaluation of component-based software systems
Original language description
Integrating rising variability of software systems in performance prediction models is crucial to allow widespread industrial use of performance prediction. One of such variabilities is the dependency of system performance on the context and history-dependent internal state of the system (or its components). In the paper, we have conducted a state-of-the-art survey of existing approaches addressing their expressiveness to model stateful components. Based on the results, we introduce a classification scheme and present the state-defining and state-dependent model parameters. We extend the Palladio Component Model (PCM), a model-based performance prediction approach, with state-modelling capabilities, and study the performance impact of modelled state. Apractical influences of the internal state on software performance is evaluated on a realistic case study.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Joint WOSP/SIPEW International Conference on Performance Engineering (ICPE'10)
ISBN
978-1-60558-563-5
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
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Publisher name
ACM
Place of publication
New York, NY, USA
Event location
San Jose, California, USA
Event date
Jan 28, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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