Three-tiered interest management for large-scale virtual environments
VRST '98 Proceedings of the ACM symposium on Virtual reality software and technology
Dynamic grid-based approach to data distribution management
Journal of Parallel and Distributed Computing - Parallel and Distributed Discrete Event Simulation--An Emerging Technology
High Level Architecture for Simulation: An Update
DIS-RT '98 Proceedings of the Second International Workshop on Distributed Interactive Simulation and Real-Time Applications
An Agent-Based DDM Filtering Mechanism
MASCOTS '00 Proceedings of the 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
VRAIS '95 Proceedings of the Virtual Reality Annual International Symposium (VRAIS'95)
Design of High Performance RTI Software
DS-RT '00 Proceedings of the Fourth IEEE International Workshop on Distributed Simulation and Real-Time Applications
A Hybrid Approach to Data Distribution Management
DS-RT '00 Proceedings of the Fourth IEEE International Workshop on Distributed Simulation and Real-Time Applications
Data Distribution Management Migration from DoD 1.3 to IEEE 1516"
DS-RT '01 Proceedings of the Fifth IEEE International Workshop on Distributed Simulation and Real-Time Applications
ANSS '05 Proceedings of the 38th annual Symposium on Simulation
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Data Distribution Management (DDM) plays a key role in traffic volume control of large-scale distributed simulations. In recent years, several solutions have been devised to make DDM more efficient and adaptive to different traffic conditions. Examples of such systems include the Region-Based, Fixed Grid-Based, Hybrid, and Dynamic Grid-Based (DGB) schemes. However, less effort has been directed toward improving the processing performance of DDM techniques. This paper presents a novel DDM scheme called the Adaptive Dynamic Grid-Based (ADGB) scheme that optimizes DDM time through analysis of matching performance. ADGB uses an advertising scheme in which information about the target cell involved in the process of matching subscribers to publishers is known in advance. An important concept known as the Distribution Rate (DR) is devised. The distribution rate represents the relative processing load and communication load generated at each federate. The matching performance and the distribution rate are used as part of the ADGB method to select, throughout the simulation, the devised advertisement scheme that achieves the maximum gain with acceptable network traffic overhead. If we assume the same worst case propagation delays, when the matching probability is high, the performance estimation of ADGB has shown that a maximum efficiency gain of 66% can be achieved over the Dynamic Grid-Based scheme. The novelty of the ADGB scheme is its focus on improving performance, an important (and often forgotten) goal of DDM strategies.