Performance Modeling and Evaluation of Large-Scale J2EE Applications
S. Kounev, and A. Buchmann. Proceedings of the 29th International Conference of the Computer Measurement Group on Resource Management and Performance Evaluation of Enterprise Computing Systems (CMG 2003), Dallas, Texas, USA, December 7-12, 2003, page 273--283. Computer Measurement Group (CMG), (December 2003)<b>Best-Paper-Award</b>.
Abstract
Modern J2EE applications are typically based on highly distributed architectures comprising multiple components deployed in a clustered environment. This makes it difficult for deployers to estimate the capacity of the deployment environment needed to guarantee that Service Level Agreements are met. This paper looks at the different approaches to this problem and discusses the difficulties that arise when one tries to apply them to large, real-world systems. The authors study a realistic J2EE application (the SPECjAppServer2002 benchmark) and show how analytical models can be exploited for capacity planning.
Proceedings of the 29th International Conference of the Computer Measurement Group on Resource Management and Performance Evaluation of Enterprise Computing Systems (CMG 2003), Dallas, Texas, USA, December 7-12, 2003
%0 Conference Paper
%1 KoBu2003-CMG-PerfModeling_J2EEApps
%A Kounev, Samuel
%A Buchmann, Alejandro
%B Proceedings of the 29th International Conference of the Computer Measurement Group on Resource Management and Performance Evaluation of Enterprise Computing Systems (CMG 2003), Dallas, Texas, USA, December 7-12, 2003
%D 2003
%K Analytical_and_simulation-based_analysis Application_quality_of_service_management Award Formal_architecture_modeling Instrumentation_profiling_and_workload_characterization Performance Prediction descartes t_full myown
%P 273--283
%T Performance Modeling and Evaluation of Large-Scale J2EE Applications
%U http://www.cmg.org/proceedings/2003/3173.pdf
%X Modern J2EE applications are typically based on highly distributed architectures comprising multiple components deployed in a clustered environment. This makes it difficult for deployers to estimate the capacity of the deployment environment needed to guarantee that Service Level Agreements are met. This paper looks at the different approaches to this problem and discusses the difficulties that arise when one tries to apply them to large, real-world systems. The authors study a realistic J2EE application (the SPECjAppServer2002 benchmark) and show how analytical models can be exploited for capacity planning.
@inproceedings{KoBu2003-CMG-PerfModeling_J2EEApps,
abstract = {Modern J2EE applications are typically based on highly distributed architectures comprising multiple components deployed in a clustered environment. This makes it difficult for deployers to estimate the capacity of the deployment environment needed to guarantee that Service Level Agreements are met. This paper looks at the different approaches to this problem and discusses the difficulties that arise when one tries to apply them to large, real-world systems. The authors study a realistic J2EE application (the SPECjAppServer2002 benchmark) and show how analytical models can be exploited for capacity planning.},
added-at = {2020-04-05T23:08:25.000+0200},
author = {Kounev, Samuel and Buchmann, Alejandro},
biburl = {https://www.bibsonomy.org/bibtex/271ffb2008a49ee84fb5d54a28e006b64/samuel.kounev},
booktitle = {Proceedings of the 29th International Conference of the Computer Measurement Group on Resource Management and Performance Evaluation of Enterprise Computing Systems (CMG 2003), Dallas, Texas, USA, December 7-12, 2003},
interhash = {56609c2ac5a034ba915b56f8b4997263},
intrahash = {71ffb2008a49ee84fb5d54a28e006b64},
keywords = {Analytical_and_simulation-based_analysis Application_quality_of_service_management Award Formal_architecture_modeling Instrumentation_profiling_and_workload_characterization Performance Prediction descartes t_full myown},
month = {December},
note = {<b>Best-Paper-Award</b>},
organization = {Computer Measurement Group (CMG)},
pages = {273--283},
timestamp = {2021-02-17T03:00:38.000+0100},
title = {{Performance Modeling and Evaluation of Large-Scale J2EE Applications}},
url = {http://www.cmg.org/proceedings/2003/3173.pdf},
year = 2003
}