Computer Networks: The International Journal of Computer and Telecommunications Networking - Network processors
Combining simulation and formal methods for system-level performance analysis
Proceedings of the conference on Design, automation and test in Europe: Proceedings
An overview of the OMNeT++ simulation environment
Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Network calculus: a theory of deterministic queuing systems for the internet
Network calculus: a theory of deterministic queuing systems for the internet
Simulation based validation of quantitative requirements in service oriented architectures
Winter Simulation Conference
Modeling quantitative requirements in SLAs with network calculus
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
A calculus for SLA delay properties
MMB'12/DFT'12 Proceedings of the 16th international GI/ITG conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance
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An algorithm and selection method to estimate Network Calculus arrival bounds for systems with concurrent arrivals is presented. Concurrent job arrivals are common for Service-Oriented Architectures. Their performance is described in Service Level Agreements including quantitative requirements for load and response times. SLA Calculus, a variant of Network Calculus, can be used for service performance modeling and validation with SLAs. Functions called curves are used to bound job arrivals as well as their delay. Due to the concurrent nature of job arrivals curve estimation methods used for successive packet arrivals in Network Calculus cannot be applied in SLA Calculus. We present a method to estimate unknown SLA Calculus arrival and delay bounds from input and output traces. This paper introduces an algorithm for the estimation of the curves. Optimal selection of a curve model based on several fitting criteria is performed using candidates from trace sets.