Supporting Large-Scale Distributed Simulations Through the Topic-Based Data Distribution Management System
Alberto Falcone & Alfredo Garro
Abstract
Modeling and Simulation (M&S) is a fundamental technology to design and study complex systems in various industrial and scientific domains when real-world testing is impractical due to costs, safety concerns, and time constraints. To promote the reusability and interoperability of simulation entities, allowing them to interoperate without geographic barriers, distributed simulation has been introduced. One of the most widely adopted standards for distributed simulation is IEEE 1516-2010: High Level Architecture (HLA). Among the services provided by HLA, a key one is Data Distribution Management (DDM), which allows to reduce the transmission and reception of unnecessary data to improve communication effectiveness among simulation entities. This is done by computing the so-called “region matching”, i.e., the overlap between “update” and “subscription” regions. In this article, a novel DDM system called the Topic-based publish-subscribe Messaging System (TBMS) is proposed to improve the performance, reliability, and scalability of DDM services. Unlike traditional algorithms, this system revolves around the concept of “topic” that favors a contextualized approach to the match, avoiding the filtering of the information actually of interest on the receiver side. Experiments have been conducted to evaluate the proposed TBMS in terms of utilization and waiting time metrics.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.