Performance prediction tools for parallel discrete-event simulation
PADS '99 Proceedings of the thirteenth workshop on Parallel and distributed simulation
Performance prediction of a parallel simulator
PADS '99 Proceedings of the thirteenth workshop on Parallel and distributed simulation
Software performance validation strategies
System performance evaluation
Automatic derivation of software performance models from CASE documents
Performance Evaluation
Parallel and Distribution Simulation Systems
Parallel and Distribution Simulation Systems
Computer Performance Modeling Handbook
Computer Performance Modeling Handbook
Steps towards the automatic production of performance models of web applications
Computer Networks: The International Journal of Computer and Telecommunications Networking
Proceedings of the 20th Workshop on Principles of Advanced and Distributed Simulation
Performance prediction of large-scale parallel discrete event models of physical systems
WSC '05 Proceedings of the 37th conference on Winter simulation
A Simulation Approach to Facilitate Parallel and Distributed Discrete-Event Simulator Development
DS-RT '06 Proceedings of the 10th IEEE international symposium on Distributed Simulation and Real-Time Applications
Modeling End-to-End Delay Using Pareto Distribution
ICIMP '07 Proceedings of the Second International Conference on Internet Monitoring and Protection
A layered architecture for the model-driven development of distributed simulators
Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops
Master/worker parallel discrete event simulation
Master/worker parallel discrete event simulation
Model-driven performance prediction of HLA-based distributed simulation systems
Proceedings of the Winter Simulation Conference
Proceedings of the 2013 ACM SIGSIM conference on Principles of advanced discrete simulation
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Predicting the time-performance of a Distributed Simulation (DS) system may be of interest to evaluate system alternatives during the development cycle, before the system is implemented. In this paper, we introduce a methodology to predict the execution time of a DS system during its design phase. The methodology is based on a model-building approach that, basing on the design documents of the DS system, first produces its performance model and then evaluates it. The model includes components such as middleware to use (e.g., the HLA RTI), the set of DS execution hosts and the set of host interconnection networks. The methodology is applied to determine whether or not producing the distributed simulator of a given system may be advantageous in terms of execution time with respect to a conventional local simulator. An example use of the methodology is presented and validated by a comparison of the time-prediction with the actual execution time of the implemented DS system.