Business Dynamics
Distributed and Parallel Databases
A Petri net-based model for web service composition
ADC '03 Proceedings of the 14th Australasian database conference - Volume 17
Web Service Management Using System Dynamics
ICWS '05 Proceedings of the IEEE International Conference on Web Services
YAWL: yet another workflow language
Information Systems
A Dynamic Service Composition Model Based on Constraints
GCC '07 Proceedings of the Sixth International Conference on Grid and Cooperative Computing
IT Service Management Case Based Simulation Analysis & Design: Systems Dynamics Approach
ICCIT '07 Proceedings of the 2007 International Conference on Convergence Information Technology
Comprehensive QoS monitoring of Web services and event-based SLA violation detection
Proceedings of the 4th International Workshop on Middleware for Service Oriented Computing
A System Dynamics Approach to Web Service Capacity Management
ECOWS '09 Proceedings of the 2009 Seventh IEEE European Conference on Web Services
Towards accurate failure prediction for the proactive adaptation of service-oriented systems
Proceedings of the 8th workshop on Assurances for self-adaptive systems
ServiceWave'11 Proceedings of the 4th European conference on Towards a service-based internet
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Efficient and competitive provision of service compositions depends both on the composition structure, and on planning and management of computational resources necessary for provision. Resource constraints on the service provider side have impact on the provision of composite services and can cause violations of predefined SLA criteria. We propose a methodology for modeling dynamic behavior of provider-side orchestration provision systems, based on the structure of orchestrations that are provided, their interaction, statistically estimated run-time parameters (such as running time) based on log traces, and the model of resources necessary for orchestration provision. We illustrate the application of our proposed methodology on a non-trivial real world example, and validate the approach using a simulation experiment.