%0 Conference Paper %1 SpKoZhUy2013-mrt-TowardsModelExtraction %A Spinner, Simon %A Kounev, Samuel %A Zhu, Xiaoyun %A Uysal, Mustafa %B Proceedings of the 8th Workshop on Models @ Run.time (MRT 2013) co-located with ACM/IEEE 16th International Conference on Model Driven Engineering Languages and Systems (MODELS 2013) %D 2013 %E Bencomo, Nelly %E France, Robert %E Götz, Sebastian %E Rumpe, Bernhard %I CEUR-WS %K Instrumentation_profiling_and_workload_characterization Resource_management Analytical_and_simulation-based_analysis Online_monitoring_and_forecasting Performance Application_quality_of_service_management Automated_model_learning Prediction Virtualization descartes t_visionposition %P 89--95 %T Towards Online Performance Model Extraction in Virtualized Environments %U http://ceur-ws.org/Vol-1079/mrt13_submission_4.pdf %X Virtualization increases the complexity and dynamics of modern software architectures making it a major challenge to manage the end-to-end performance of applications. Architecture-level performance models can help here as they provide the modeling power and analysis fexibility to predict the performance behavior of applications under varying workloads and configurations. However, the construction of such models is a complex and time-consuming task. In this position paper, we discuss how the existing concept of virtual appliances can be extended to automate the extraction of architecture-level performance models during system operation.

@inproceedings{SpKoZhUy2013-mrt-TowardsModelExtraction, abstract = {Virtualization increases the complexity and dynamics of modern software architectures making it a major challenge to manage the end-to-end performance of applications. Architecture-level performance models can help here as they provide the modeling power and analysis fexibility to predict the performance behavior of applications under varying workloads and configurations. However, the construction of such models is a complex and time-consuming task. In this position paper, we discuss how the existing concept of virtual appliances can be extended to automate the extraction of architecture-level performance models during system operation.}, added-at = {2020-04-05T23:07:03.000+0200}, author = {Spinner, Simon and Kounev, Samuel and Zhu, Xiaoyun and Uysal, Mustafa}, biburl = {https://www.bibsonomy.org/bibtex/2eb459b4c5dee8feb5e13525c7f2a1851/se-group}, booktitle = {Proceedings of the 8th Workshop on Models @ Run.time (MRT 2013) co-located with ACM/IEEE 16th International Conference on Model Driven Engineering Languages and Systems (MODELS 2013)}, editor = {Bencomo, Nelly and France, Robert and G{\"o}tz, Sebastian and Rumpe, Bernhard}, interhash = {465cff236905e5f1d51741327cf4d4c1}, intrahash = {eb459b4c5dee8feb5e13525c7f2a1851}, keywords = {Instrumentation_profiling_and_workload_characterization Resource_management Analytical_and_simulation-based_analysis Online_monitoring_and_forecasting Performance Application_quality_of_service_management Automated_model_learning Prediction Virtualization descartes t_visionposition}, month = {Sept}, pages = {89--95}, publisher = {CEUR-WS}, timestamp = {2020-10-05T16:27:25.000+0200}, title = {{Towards Online Performance Model Extraction in Virtualized Environments}}, url = {http://ceur-ws.org/Vol-1079/mrt13_submission_4.pdf}, year = 2013 }