Performance evaluation of software architectures
Proceedings of the 1st international workshop on Software and performance
Performance engineering of service compositions
Proceedings of the 2006 international workshop on Service-oriented software engineering
Low-overhead message tracking for distributed messaging
Proceedings of the ACM/IFIP/USENIX 2006 International Conference on Middleware
Automated Web Performance Analysis
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
Automated extraction of palladio component models from running enterprise Java applications
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Performance evaluation of component-based software systems: A survey
Performance Evaluation
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
Low-Overhead message tracking for distributed messaging
Middleware'06 Proceedings of the 7th ACM/IFIP/USENIX international conference on Middleware
Efficient experiment selection in automated software performance evaluations
EPEW'11 Proceedings of the 8th European conference on Computer Performance Engineering
AWPS --- an architecture for pro-active web performance management
PERFORM'10 Proceedings of the 2010 IFIP WG 6.3/7.3 international conference on Performance Evaluation of Computer and Communication Systems: milestones and future challenges
Automated extraction of architecture-level performance models of distributed component-based systems
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
An automated round-trip support towards deployment assessment in component-based embedded systems
Proceedings of the 16th International ACM Sigsoft symposium on Component-based software engineering
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We present a framework that can be used to identify performance issues in component-oriented distributed systems. The framework consists of a monitoring module, a modelling module and a prediction module, that are interrelated. The monitoring block extracts real-time performance data from a live or under development system. The modelling block generates UML models of the system showing where the performance problems are located and drives the monitoring process. The performance prediction block simulates different system-loads on the generated models and pinpoints possible performance issues. The technological focus is currently on Enterprise Java Beans systems.