DocumentCode :
2260079
Title :
Statistical methodology for Web-based simulation
Author :
Biles, William E. ; Kleijnen, Jack P C
Author_Institution :
Dept. of Ind. Eng., Louisville Univ., KY, USA
fYear :
2003
fDate :
23-25 Oct. 2003
Firstpage :
147
Lastpage :
149
Abstract :
This paper describes a procedure for assigning simulation trials to a set of parallel processors for the purpose of conducting a simulation study involving a complex simulation model in near real time. Unlike distributed simulation, where a complex simulation model is decomposed and its parts run in a parallel environment, the parallel replications approach discussed here involves running simulation replications to completion for the entire model. The unique element here is that the workload involved in running the simulation study is too time consuming to execute on a single workstation, so that the simulation analyst must utilize computer resources available through the Web. New statistical methodology is needed for running a complex simulation study in a Web-based, parallel replications environment.
Keywords :
Internet; digital simulation; parallel processing; statistical analysis; Web-based simulation; World Wide Web; near real-time systems; parallel processors; parallel replications; simulation management; statistical methods; Analytical models; Computational modeling; Computer simulation; Industrial engineering; Information systems; Lifting equipment; Predictive models; Real time systems; Statistical analysis; Workstations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Simulation and Real-Time Applications, 2003. Proceedings. Seventh IEEE International Symposium on
ISSN :
1530-1990
Print_ISBN :
0-7695-2036-7
Type :
conf
DOI :
10.1109/DISRTA.2003.1243008
Filename :
1243008
Link To Document :
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