Analysis of benchmark characteristics and benchmark performance prediction
ACM Transactions on Computer Systems (TOCS)
Capacity planning for Web performance: metrics, models, and methods
Capacity planning for Web performance: metrics, models, and methods
Enterprise Transaction Processing Systems: Putting the Cobra Ots, Encina++ and Orbixotm to Work
Enterprise Transaction Processing Systems: Putting the Cobra Ots, Encina++ and Orbixotm to Work
XSLT transformation from UML models to LQN performance models
WOSP '02 Proceedings of the 3rd international workshop on Software and performance
A Multilayer Client-Server Queueing Network Model with Synchronous and Asynchronous Messages
IEEE Transactions on Software Engineering
Derivation of Petri Net Performance Models from UML Specifications of Communications Software
TOOLS '00 Proceedings of the 11th International Conference on Computer Performance Evaluation: Modelling Techniques and Tools
Evaluating the Performance of EJB Components
IEEE Internet Computing
A performance model for a BPI middleware
Proceedings of the 4th ACM conference on Electronic commerce
Early performance testing of distributed software applications
WOSP '04 Proceedings of the 4th international workshop on Software and performance
Predicting the performance of middleware-based applications at the design level
WOSP '04 Proceedings of the 4th international workshop on Software and performance
Model-Based Performance Prediction in Software Development: A Survey
IEEE Transactions on Software Engineering
Architecting in the Face of Uncertainty: An Experience Report
Proceedings of the 26th International Conference on Software Engineering
Experiences Integrating and Scaling a Performance Test Bed Generator with an Open Source CASE Tool
Proceedings of the 19th IEEE international conference on Automated software engineering
Stability of Feature Selection Algorithms
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Performance engineering of service compositions
Proceedings of the 2006 international workshop on Service-oriented software engineering
A pattern-based performance completion for Message-oriented Middleware
WOSP '08 Proceedings of the 7th international workshop on Software and performance
Validating Access Control Configurations in J2EE Applications
CBSE '08 Proceedings of the 11th International Symposium on Component-Based Software Engineering
A Massively Scalable Architecture For Instant Messaging & Presence
Electronic Notes in Theoretical Computer Science (ENTCS)
Resource sharing in performance models
EPEW'07 Proceedings of the 4th European performance engineering conference on Formal methods and stochastic models for performance evaluation
Predictive modelling of peer-to-peer event-driven communication in component-based systems
EPEW'10 Proceedings of the 7th European performance engineering conference on Computer performance engineering
A tactic-driven process for developing reusable components
ICSR'06 Proceedings of the 9th international conference on Reuse of Off-the-Shelf Components
Capacity planning for event-based systems using automated performance predictions
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Constructing performance model of JMS middleware platform
Proceedings of the 5th ACM/SPEC international conference on Performance engineering
Performance modeling and analysis of message-oriented event-driven systems
Software and Systems Modeling (SoSyM)
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Predicting the performance of component-based applications is difficult due to the complexity of the underlying component technology. This problem is exacerbated when a messaging protocol is introduced to create a loosely coupled software architecture. Messaging uses asynchronous communication, and must address quality of service issues such as message persistence and flow control. In this paper, we present an approach to predicting the performance of Java 2 Enterprise Edition (J2EE) applications using messaging services. The prediction is done during application design, without access to the application implementation. This is achieved by modeling the interactions among J2EE and messaging components using queuing network models, calibrating the performance model with architecture attributes associated with these components, and populating the model parameters using a lightweight, application-independent benchmark. Benchmarking avoids the need for prototype testing in order to obtain the value of model parameters, and thus reduces the performance prediction effort. A case study is carried out to predict the performance of a J2EE application with asynchronous communication. Analysis of the resulting predictions shows the error is within 15%.