Transformation of Descartes Modeling Language to Queueing Networks
K. Dietz. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Bachelor Thesis, (September 2016)
Abstract
Preventing performance problems is a challenging task for todays IT systems. Model-based performance prediction can be used to ensure quality of service. The Descartes Modeling Language (DML) is an architectural performance modeling language which is solved through transformations to predictive models. In this thesis we propose a transformation from DML to Queueing Networks (QNs), a predictive modeling formalism. This enables to solve DML models based on QN analysis approaches. QNs are highly researched and offer various analysis tools and apporaches.
%0 Thesis
%1 Dietz2016
%A Dietz, Katharina
%C Am Hubland, Informatikgebäude, 97074 Würzburg, Germany
%D 2016
%K DML DECLARE descartes Thesis_supervised_by_SE_member Thesis_supervised_by_Juergen_Walter Performance se2_mastersthesis
%T Transformation of Descartes Modeling Language to Queueing Networks
%X Preventing performance problems is a challenging task for todays IT systems. Model-based performance prediction can be used to ensure quality of service. The Descartes Modeling Language (DML) is an architectural performance modeling language which is solved through transformations to predictive models. In this thesis we propose a transformation from DML to Queueing Networks (QNs), a predictive modeling formalism. This enables to solve DML models based on QN analysis approaches. QNs are highly researched and offer various analysis tools and apporaches.
@mastersthesis{Dietz2016,
abstract = {Preventing performance problems is a challenging task for todays IT systems. Model-based performance prediction can be used to ensure quality of service. The Descartes Modeling Language (DML) is an architectural performance modeling language which is solved through transformations to predictive models. In this thesis we propose a transformation from DML to Queueing Networks (QNs), a predictive modeling formalism. This enables to solve DML models based on QN analysis approaches. QNs are highly researched and offer various analysis tools and apporaches.},
added-at = {2020-04-09T08:41:17.000+0200},
address = {Am Hubland, Informatikgeb{\"a}ude, 97074 W{\"u}rzburg, Germany},
author = {Dietz, Katharina},
biburl = {https://www.bibsonomy.org/bibtex/28d6aa892e696fad1a6f00d3275f05565/se-group},
interhash = {ed0ff5ee2ceca86ad8ff7876ae92ecbd},
intrahash = {8d6aa892e696fad1a6f00d3275f05565},
keywords = {DML DECLARE descartes Thesis_supervised_by_SE_member Thesis_supervised_by_Juergen_Walter Performance se2_mastersthesis},
month = {September},
school = {University of W{\"u}rzburg},
timestamp = {2020-05-13T11:56:59.000+0200},
title = {{Transformation of Descartes Modeling Language to Queueing Networks}},
type = {{Bachelor Thesis}},
year = 2016
}