Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/39083
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dc.titleGrid-based data management in distributed simulation
dc.contributor.authorTan, Gary
dc.contributor.authorAyani, Rassul
dc.contributor.authorZhang, YuSong
dc.contributor.authorMoradi, Farshad
dc.date.accessioned2013-07-04T07:33:33Z
dc.date.available2013-07-04T07:33:33Z
dc.date.issued2000
dc.identifier.citationTan, Gary,Ayani, Rassul,Zhang, YuSong,Moradi, Farshad (2000). Grid-based data management in distributed simulation. Proceedings of the IEEE Annual Simulation Symposium : 7-13. ScholarBank@NUS Repository.
dc.identifier.isbn0769505988
dc.identifier.issn02724715
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39083
dc.description.abstractThe data distribution management (DDM) service provided by the High Level Architecture Run-time Infrastructure is aimed at making data communication more efficient by sending data only to those federates who need the data, as opposed to the broadcasting mechanism employed by Distributed Interactive Simulation. Several DDM methods, including class, region and grid-based, have appeared in the literature. This paper discusses grid-based DDM and presents a simulation platform developed and implemented for investigating the impact of grid-based filtering on performance. Our experimental results show that the choice of the grid-cell size has a substantial impact on the performance of distributed simulation. The optimal cell size depends on the characteristics of the application and the underlying computer system. In many practical simulations, it is not easy to determine the optimal cell size. Our experience indicates that in such a case one should use larger cells rather than very small ones.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleProceedings of the IEEE Annual Simulation Symposium
dc.description.page7-13
dc.description.codenPSSYE
dc.identifier.isiutNOT_IN_WOS
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