Performance and scalability of EJB applications
OOPSLA '02 Proceedings of the 17th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Evaluating the Performance of EJB Components
IEEE Internet Computing
The Rigorous Evaluation of Enterprise Java Bean Technology
ICOIN '01 Proceedings of the The 15th International Conference on Information Networking
The Rigorous Evaluation of Enterprise Java Bean Technology
ICOIN '01 Proceedings of the The 15th International Conference on Information Networking
Studying Sensitivities of an EJB Performance Model
MASCOTS '02 Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
A simulation model of a multi-server EJB system
A-MOST '05 Proceedings of the 1st international workshop on Advances in model-based testing
A simulation model of a multi-server EJB system
A-MOST '05 Proceedings of the 1st international workshop on Advances in model-based testing
Experiences with Simulations - A Light and Fast Model for Secure Web Applications
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1
Using stochastic Petri nets for performance modelling of application servers
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
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Despite the fact that EJB (Enterprise Java Beans) is a widely used technology, research in the area of performance modelling of EJB application servers is quite sparse. This paper will describe how Workbench™, an advanced simulation modelling tool, can be used to build a scalable model of a multi-server EJB system that allows users to input variables that describe interactions and their constituent methods, as well as system parameters. The model will output the average time for each given user interaction and allow users to seek system improvements by changing the system parameters and workloads.