DocumentCode :
2460324
Title :
A Methodology to Predict the Performance of Distributed Simulations
Author :
Gianni, Daniele ; Iazeolla, Giuseppe ; D´Ambrogio, Andrea
Author_Institution :
Syst. Modelling & Software Verification Sect., Eur. Space Agency, Noordwijk, Netherlands
fYear :
2010
fDate :
17-19 May 2010
Firstpage :
1
Lastpage :
9
Abstract :
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.
Keywords :
middleware; simulation; HLA RTI; design documents; distributed simulations; execution time; host interconnection networks; middleware; model-building approach; time performance; Computational modeling; Costs; Distributed computing; Middleware; Military computing; Multiprocessor interconnection networks; Parallel processing; Predictive models; Software performance; Software systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Principles of Advanced and Distributed Simulation (PADS), 2010 IEEE Workshop on
Conference_Location :
Atlanta
ISSN :
1087-4097
Print_ISBN :
978-1-4244-7292-5
Electronic_ISBN :
1087-4097
Type :
conf
DOI :
10.1109/PADS.2010.5471669
Filename :
5471669
Link To Document :
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