Building Web applications with UML
Building Web applications with UML
Handbook of graph grammars and computing by graph transformation: vol. 2: applications, languages, and tools
Building Web Services with Java: Making Sense of Xml, Soap, Wsdl, and Uddi
Building Web Services with Java: Making Sense of Xml, Soap, Wsdl, and Uddi
Early reliability assessment of UML based software models
WOSP '02 Proceedings of the 3rd international workshop on Software and performance
Designing the automatic transformation of visual languages
Science of Computer Programming - Special issue on applications of graph transformations (GRATRA 2000)
Abstract State Machines: A Method for High-Level System Design and Analysis
Abstract State Machines: A Method for High-Level System Design and Analysis
Software performance engineering of component-based systems
WOSP '04 Proceedings of the 4th international workshop on Software and performance
Stochastic dependability analysis of system architecture based on UML models
Architecting dependable systems
Scheduling of embedded time-triggered systems
Proceedings of the 2007 workshop on Engineering fault tolerant systems
An Eclipse-Based Framework for AIS Service Configurations
ISAS '07 Proceedings of the 4th international symposium on Service Availability
Model Transformations for Performability Analysis of Service Configurations
Models in Software Engineering
Non-functional properties in the model-driven development of service-oriented systems
Software and Systems Modeling (SoSyM)
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Enterprise services play an important role in these days' business environments. With the growing incidence of web services, the web service-based collaboration of systems is spreading. This leads to a large number of depending services. As these components form critical business applications, the availability and performance aspects of them are critical. We introduce in this paper a method that collects the QoS requirements of the high level services and propagates them through the dependencies to lower levels. Our tools also generate an optimal deployment configuration to a definite set of server nodes that guarantees the required availability and performance characteristics for all services.