Efficient execution of composite Web services exchanging intensional data
Information Sciences: an International Journal
A tool for the analysis of hierarchical service-oriented extended open fork/join queueing networks
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Performance modeling for service oriented architectures
Companion of the 30th international conference on Software engineering
JMT: performance engineering tools for system modeling
ACM SIGMETRICS Performance Evaluation Review
User-friendly approach to capacity planning studies with Java modelling tools
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Estimating service resource consumption from response time measurements
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Efficient parallelization of the Method of Moments for queueing networks using multi-modular algebra
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
Consolidation and replication of VMs matching performance objectives
ASMTA'12 Proceedings of the 19th international conference on Analytical and Stochastic Modeling Techniques and Applications
Identification and approximations for systems with multi-stage workflows
Proceedings of the Winter Simulation Conference
Automatic, load-independent detection of performance regressions by transaction profiles
Proceedings of the 2013 International Workshop on Joining AcadeMiA and Industry Contributions to testing Automation
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The Java Modelling Tools (JMT) is an open source suite for performance evaluation, capacity planning and modelling of computer and communication systems. The suite implements numerous state-of-the-art algorithms for the exact, asymptotic and simulative analysis of queueing network models, either with or without product-form solution. Models can be described either through wizard dialogs or with a graphical user-friendly interface. The suite includes also a workload analysis tool based on clustering techniques.