Multifacetted modelling and discrete event simulation
Multifacetted modelling and discrete event simulation
Theory of Modelling and Simulation
Theory of Modelling and Simulation
Performance analysis of a distributed simulation algorithm based on active logical processes
WSC '83 Proceedings of the 15th conference on Winter simulation - Volume 1
A Hierarchical Modeling System for computer networks
Proceedings of the Computer Network Performance Symposium
Simulation of a distributed system for performance modelling
SIGMETRICS '79 Proceedings of the 1979 ACM SIGMETRICS conference on Simulation, measurement and modeling of computer systems
Problem oriented protocol design
WSC '84 Proceedings of the 16th conference on Winter simulation
Distributed simulation on multiprocessors: specification, design, and architecture (discrete event, computer)
A literature survey on distributed discrete event simulation
ACM SIGSIM Simulation Digest
Steady-state simulation of queueing processes: survey of problems and solutions
ACM Computing Surveys (CSUR)
Run length control using parallel spectral method
WSC '92 Proceedings of the 24th conference on Winter simulation
An approach towards distributed simulation of timed petri nets
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Systems with Low Distributed Simulation Overhead
IEEE Transactions on Parallel and Distributed Systems
Efficiently unifying parallel simulation techniques
Proceedings of the 44th annual Southeast regional conference
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A model can be decomposed into components, then mapped onto a network of simulators for execution. With different levels of decompositions, we are interested in finding the optimal model decomposition that can be implemented on a particular structure of distributed simulators. This is done by comparing performance measures such as the minimum response time or the maximum throughout per unit of hardware complexity. We claim that the need for a model capable of performance evaluation is an important concern in designing distributed simulators. Thus a methodology for performance evaluation and simulation modelling of hierarchically specified distributed simulators is required. From the empirical results, we found that simulating a given distributed simulator model is suitable to get optimal performances, that is, each model has an optimal decomposition level in terms of performance. The influential performance measures are the average of simulation run times and the product of the average run time and the hardware complexity of the given simulator model.