DocumentCode :
1622984
Title :
A Java-based simulation manager for optimization and response surface methodology in multiple-response parallel simulation
Author :
Biles, William E. ; Kleijnen, Jack P C
Author_Institution :
Dept. of Ind. Eng., Louisville Univ., KY, USA
Volume :
1
fYear :
1999
fDate :
6/21/1905 12:00:00 AM
Firstpage :
513
Abstract :
The paper describes a Java based system for allocating simulation trials to a set of P parallel processors for carrying out a simulation study involving direct-search optimization or response surface methodology. Unlike distributed simulation, where a simulation model is decomposed and its parts run in a parallel environment, the parallel replications approach allows a simulation model to run to completion with a unique set of input conditions. Since a simulation study typically involves executing R replications of the model at each of S sets of input conditions, the server´s task in managing a parallel replications approach is to allocate the RS x simulation trials to P client processors in a manner that balances the workload on those processors. The objective is to complete the simulation study in a time interval approaching 1/P of that which would be required of a single processor operating in a purely sequential mode. Results are reported for several Silk based simulation models run in a Visual Cafe environment for Java
Keywords :
Java; client-server systems; digital simulation; optimisation; parallel programming; processor scheduling; resource allocation; search problems; surface fitting; Java based simulation manager; Java based system; Silk based simulation models; Visual Cafe environment; client processors; direct-search optimization; input conditions; multiple-response parallel simulation; parallel processors; parallel replications approach; response surface methodology; simulation model; simulation study; simulation trial allocation; simulation trials; time interval; workload balancing; Analytical models; Computational modeling; Computer networks; Computer simulation; Industrial engineering; Java; Lifting equipment; Optimization methods; Predictive models; Response surface methodology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference Proceedings, 1999 Winter
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5780-9
Type :
conf
DOI :
10.1109/WSC.1999.823117
Filename :
823117
Link To Document :
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