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
An adaptive dynamic grid-based approach to data distribution management
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
A scalable data distribution management approach
Proceedings of the 2010 Summer Computer Simulation Conference
Exploring multi-level model dynamics: performance and accuracy (WIP)
Proceedings of the 2012 Symposium on Theory of Modeling and Simulation - DEVS Integrative M&S Symposium
Hi-index | 0.00 |
In large-scale distributed simulation systems, the primary goals of the Data Distribution Management are to manage the distribution of state updates and interaction information, as well as to limit and control the volume of data exchanged during a simulation. In this paper, we focus upon two DDM implementations: Dynamic Grid-Based and Region-Based. Using these two DDM methods, we run numerous simulations to compare the time performance, message overhead and multicast group usage of each method. On a cluster of workstations, with a mini-RTI kit, we simulate several ground-based radar entities, which attempt to detect simulated squadron planes. Our goal is to determine which of the two DDM schemes is more e脝cient for our Ground-Based Radar vs. Squadron Planes scenario. This paper presents background information on HLA/RTI and the two DDM schemes we compare, explains the scenario, metrics and parameters we use in our experiments, presents the analysis of our results and our conclusions, based on those results.