A toolset for performance engineering and software design of client-server systems
Performance Evaluation - Special issue: performance modeling tools
Approximate Throughput Computation of Stochastic Marked Graphs
IEEE Transactions on Software Engineering
PNPM '01 Proceedings of the 9th international Workshop on Petri Nets and Performance Models (PNPM'01)
Dynamic microcell assignment for massively multiplayer online gaming
NetGames '05 Proceedings of 4th ACM SIGCOMM workshop on Network and system support for games
Phymss: performance hybrid model solver and simulator based on UML MARTE diagrams
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
From annotated software designs (UML SPT/MARTE) to model formalisms
SFM'07 Proceedings of the 7th international conference on Formal methods for performance evaluation
Predicting the performance of component-based software architectures with different usage profiles
QoSA'07 Proceedings of the Quality of software architectures 3rd international conference on Software architectures, components, and applications
Performance evaluation of component-based software systems: A survey
Performance Evaluation
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When designing and evaluating software architectures and network facilities for hosting demanding distributed applications, taking performance considerations into account is essential. A key factor in assessing the performance of such a distributed system is the network latency and its relation to the application behaviour. In this respect, it is important to include the performance impact of the network into the performance models used during the entire design cycle of the system.A framework is proposed that allows to model both the software and the network components separately and extracts a single set of performance estimates for the entire system. This has the advantage of allowing the network and software aspects to be modeled separately using the modeling languages and tools most suited to those system aspects. A case study is presented to illustrate the use of the framework and its usefulness in predicting system performance.