An agent-based DDM for high level architecture
Proceedings of the fifteenth workshop on Parallel and distributed simulation
Parallel and distributed simulation
Applied system simulation
ANSS '04 Proceedings of the 37th annual symposium on Simulation
A sort-based DDM matching algorithm for HLA
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Design and implementation of data distribution management in IEEE 1516 HLA/RTI
Proceedings of the 2007 Summer Computer Simulation Conference
Quadtree-based approach to data distribution management for distributed simulations
Proceedings of the 2008 Spring simulation multiconference
MGRID: a modifiable-grid region matching approach for DDM in the HLA RTI
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Multi-user Gaming on the Grid Using a Service Oriented HLA RTI
DS-RT '09 Proceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications
A dynamic sort-based DDM matching algorithm for HLA applications
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Implementation of data distribution management services in a service oriented HLA RTI
Winter Simulation Conference
Moving-intersecting-information-based matching algorithm for dynamic DDM
SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
Interest management for distributed virtual environments: A survey
ACM Computing Surveys (CSUR)
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The 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.