%0 Conference Paper %1 Br2011-SEDoktoranden-Symposium %A Brosig, Fabian %B Software Engineering (Workshops) - Doctoral Symposium, February 21--25, 2011 %C Bonn, Germany %D 2011 %E Reussner, Ralf %E Pretschner, Alexander %E Jähnichen, Stefan %I GI %K Analytical_and_simulation-based_analysis Performance descartes t_workshop %P 279--284 %T Online Performance Prediction with Architecture-Level Performance Models %V 184 %X Today's enterprise systems based on increasingly complex software architectures often exhibit poor performance and resource efficiency thus having high operating costs. This is due to the inability to predict at run-time the effect of changes in the system environment and adapt the system accordingly. We propose a new performance modeling approach that allows the prediction of performance and system resource utilization online during system operation. We use architecture-level performance models that capture the performance-relevant information of the software architecture, deployment, execution environment and workload. The models will be automatically maintained during operation. To derive performance predictions, we propose a tailorable model solving approach to provide flexibility in view of prediction accuracy and analysis overhead.

@inproceedings{Br2011-SEDoktoranden-Symposium, abstract = {{Today's enterprise systems based on increasingly complex software architectures often exhibit poor performance and resource efficiency thus having high operating costs. This is due to the inability to predict at run-time the effect of changes in the system environment and adapt the system accordingly. We propose a new performance modeling approach that allows the prediction of performance and system resource utilization online during system operation. We use architecture-level performance models that capture the performance-relevant information of the software architecture, deployment, execution environment and workload. The models will be automatically maintained during operation. To derive performance predictions, we propose a tailorable model solving approach to provide flexibility in view of prediction accuracy and analysis overhead.}}, added-at = {2020-04-05T23:13:07.000+0200}, address = {Bonn, Germany}, author = {Brosig, Fabian}, biburl = {https://www.bibsonomy.org/bibtex/2f4d023dc53b16e4d99f6633a90b6ed3e/se-group}, booktitle = {Software Engineering (Workshops) - Doctoral Symposium, February 21--25, 2011}, editor = {Reussner, Ralf and Pretschner, Alexander and J{\"a}hnichen, Stefan}, interhash = {a64d8f90ab1e352d111d300ebd75e608}, intrahash = {f4d023dc53b16e4d99f6633a90b6ed3e}, keywords = {Analytical_and_simulation-based_analysis Performance descartes t_workshop}, month = {February}, pages = {279--284}, publisher = {GI}, series = {Lecture Notes in Informatics (LNI)}, timestamp = {2020-10-20T15:09:12.000+0200}, title = {Online Performance Prediction with Architecture-Level Performance Models}, volume = 184, year = 2011 }