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Proceedings Paper

Federated executable architecture technology as an enabling technology for simulation of large systems
Author(s): Gregory A. Harrison; Russell Hutt; Howard S. Kern; Salaheddine Saidi; Christopher A. Young
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Paper Abstract

Federated Executable Architecture Technology is an enabling technology, supportive of the construction, execution and analysis of application-oriented simulations. Using HLA to link distributed simulations allows a hybrid system to be created that best simulates a particular scenario. Under control of a top-level Executable Architecture representation of a particular scenario or application, the various models of entities in the system interoperate to test, verify and validate the static architecture of the system. Various resolutions of models may be used throughout to provide appropriate simulation of doctrine and decisions as well as entities in the scenario. Messaging in the scenario between the entities and the decision swimlanes are modeled in appropriate federated networking simulators. As a whole, the ability to bring a static architecture to life through simulation allows optimization of the doctrine reflected in the architecture. We present the results of applying FEAT to simulation of a large-scale training exercise and show how it can be used to enhance the integration and composition of training events.

Paper Details

Date Published: 22 May 2006
PDF: 12 pages
Proc. SPIE 6227, Enabling Technologies for Simulation Science X, 62270E (22 May 2006); doi: 10.1117/12.673645
Show Author Affiliations
Gregory A. Harrison, Lockheed Martin Simulation, Training and Support (United States)
Russell Hutt, U.S. Air Force Agency for Modeling and Simulation (United States)
Howard S. Kern, Lockheed Martin Information Technologies (United States)
Salaheddine Saidi, Lockheed Martin Simulation, Training and Support (United States)
Christopher A. Young, Lockheed Martin Simulation, Training and Support (United States)


Published in SPIE Proceedings Vol. 6227:
Enabling Technologies for Simulation Science X
Dawn A. Trevisani, Editor(s)

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