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
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