%0 Journal Article %1 KoSa2009-DEBSPerformance %A Kounev, Samuel %A Sachs, Kai %C Munich, Germany %D 2009 %I Oldenbourg Wissenschaftsverlag %J it - Information Technology %K Analytical_and_simulation-based_analysis Application_quality_of_service_management Event-based Formal_architecture_modeling Metrics_and_benchmarking_methodologies Performance Prediction QPME_Bibliography QPN descartes t_journalmagazine %N 5 %P 262--269 %T Benchmarking and Performance Modeling of Event-Based Systems %V 51 %X Event-based systems are used increasingly often to build loosely-coupled distributed applications. With their growing popularity and gradual adoption in mission critical areas, the need for novel techniques for benchmarking and performance modeling of event-based systems is increasing. In this article, we provide an overview of the state-of-the-art in this area considering both centralized systems based on message-oriented middleware as well as large-scale distributed publish/subscribe systems. We consider a number of specific techniques for benchmarking and performance modeling, discuss their advantages and disadvantages, and provide references for further information. The techniques we review help to ensure that systems are designed and sized to meet their quality-of-service requirements.

@article{KoSa2009-DEBSPerformance, abstract = {Event-based systems are used increasingly often to build loosely-coupled distributed applications. With their growing popularity and gradual adoption in mission critical areas, the need for novel techniques for benchmarking and performance modeling of event-based systems is increasing. In this article, we provide an overview of the state-of-the-art in this area considering both centralized systems based on message-oriented middleware as well as large-scale distributed publish/subscribe systems. We consider a number of specific techniques for benchmarking and performance modeling, discuss their advantages and disadvantages, and provide references for further information. The techniques we review help to ensure that systems are designed and sized to meet their quality-of-service requirements.}, added-at = {2020-04-06T11:22:00.000+0200}, address = {Munich, Germany}, author = {Kounev, Samuel and Sachs, Kai}, biburl = {https://www.bibsonomy.org/bibtex/28c9b682327fac7e51ffb56cc07f7dae8/se-group}, interhash = {32499032455d55919199cbbb568a402e}, intrahash = {8c9b682327fac7e51ffb56cc07f7dae8}, journal = {it - Information Technology}, keywords = {Analytical_and_simulation-based_analysis Application_quality_of_service_management Event-based Formal_architecture_modeling Metrics_and_benchmarking_methodologies Performance Prediction QPME_Bibliography QPN descartes t_journalmagazine}, month = {October}, number = 5, pages = {262--269}, publisher = {Oldenbourg Wissenschaftsverlag}, timestamp = {2021-08-17T11:49:49.000+0200}, title = {{Benchmarking and Performance Modeling of Event-Based Systems}}, volume = 51, year = 2009 }