Title :
High Level Architecture remote data filtering
Author :
Murphy, William S., Jr. ; Aswegan, Galen D.
Author_Institution :
TRADOC Anal. Center, Monterey, CA, USA
Abstract :
The current structure of the High Level Architecture (HLA) puts a tremendous burden on network load and CPU utilization for large distributed simulations due to its limited controls for publishing and subscribing object updates and interactions. Several solutions to this problem have been proposed, but all require cooperation between federate developers and FOM extensions for both the publishing and subscribing Federates. The paper explores an alternative that has the potential to dramatically reduce communications load by allowing subscribing federates to extend and control the publish/subscribe mechanisms that are local to the publishing federate´s process without requiring changes to the publishing federate or the Federation Object Model (FOM)
Keywords :
digital simulation; distributed processing; military computing; CPU utilization; FOM; FOM extensions; Federation Object Model; High Level Architecture remote data filtering; communications load; federate developers; large distributed simulations; network load; object updates; publish/subscribe mechanisms; subscribing Federates; Communication system control; Distributed decision making; Filtering; Filters; Frequency; Logic; Performance analysis; Publishing; Subscriptions; Telecommunication traffic;
Conference_Titel :
Simulation Conference Proceedings, 1998. Winter
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5133-9
DOI :
10.1109/WSC.1998.745075