An enhancement towards dynamic grid-based DDM protocol for distributed simulation using multiple levels of data filtering

In large-scale distributed simulation systems, participating federates may receive and send a large number of messages to share state data and update subscription and publication regions. In an effort to offer a scalable data distribution management solution (DDM), we propose two variants of DDM scheme, which we refer to as an optimized dynamic grid-based DDM and, grid-filtered region-based DDM. The main focus of data distribution management (DDM) is to limit and control the volume of data exchanged between participating simulated entities (hosts) in large scale distributed simulation systems. In the first variant, we propose an enhancement of a dynamic grid-based DDM scheme, which we refer to as an optimized dynamic grid-based DDM, to further reduce irrelevant data that might be received by simulation entities. In the second variant, we propose a grid-filtered region-based DDM scheme that determines the percentage of grids covered by the subscription or publication region using a grid overlay on the virtual space, and further filters irrelevant exchanged data, based on a percentage threshold, using a matching technique, like that of the region-based DDM scheme. We present our DDM schemes, discuss their implementation and report on their performance evaluation using an extensive set of simulation results.