Design and evaluation of a wide-area event notification service
ACM Transactions on Computer Systems (TOCS)
A Methodology for Performance Modeling of Distributed Event-Based Systems
ISORC '08 Proceedings of the 2008 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing
QPME: a performance modeling tool based on queueing Petri Nets
ACM SIGMETRICS Performance Evaluation Review
Performance evaluation of message-oriented middleware using the SPECjms2007 benchmark
Performance Evaluation
Event-based applications and enabling technologies
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Workload characterization of the SPECjms2007 benchmark
EPEW'07 Proceedings of the 4th European performance engineering conference on Formal methods and stochastic models for performance evaluation
Benchmarking publish/subscribe-based messaging systems
DASFAA'10 Proceedings of the 15th international conference on Database systems for advanced applications
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Event-based systems (EBS) are increasingly used as underlying technology in many mission critical areas and large-scale environments, such as environmental monitoring and location-based services [3]. Moreover, novel event-based applications are typically highly distributed and data intensive with stringent requirements for performance and scalability. Since their reliability is crucial for the whole IT infrastructure, a certain Quality-of-Service (QoS) level has to be ensured. The motivation for our work was to support the development and maintenance of EBS that meet their QoS requirements. Given that EBS differ from traditional software in fundamental aspects such as their underlying communications paradigm, specific solutions and concepts are needed. System architects and deployers need tools and methodologies, which allow them to evaluate and forecast system performance and behavior in certain situations to identify potential performance problems and bottlenecks. Common approaches are benchmarking and performance modeling. However, no general performance modeling methodologies focusing on EBS had been published. Furthermore, there was a lack of test harnesses and benchmarks using representative workloads for EBS. Consequently, we focused on the development of a performance modeling methodology of EBS as well as on approaches to benchmark them. We summarize now our main contributions and proposed approaches.