ABSTRACT
The Data Distribution Management (DDM) service is one of the six services provided in the Runtime Infrastructure (RTI) of High Level Architecture (HLA). Its purpose is to perform data filtering and reduce irrelevant data communicated between federates. The two DDM schemes proposed for RTI, region-based and grid-based DDM, are oriented to send as little irrelevant data to subscribers as possible, but only manage to filter part of this information and some irrelevant data is still being communicated. In a previous paper [3], we employed intelligent agents to perform data filtering in HLA, implemented an agent-based DDM in RTI (ARTI) and compared it with the other two filtering mechanisms. This paper reports on additional experiments, results and analysis using two scenarios, the AWACS sensing aircraft simulation and the air traffic control simulation scenario. Experimental results show that compared with other mechanisms, the agent-based approach communicates only relevant data and minimizes network communication, and is also comparable in terms of time efficiency. Some guidelines on when the agent-based scheme can be used are also given.
- 1.U.S. Department of Defense, "High Level Architecture Interface Specification", Version 1.3, 2 April 1998. http://www.dmso.mil/Google Scholar
- 2.Katherine L. Morse, Jeffrey S. Steinman, "Data Distribution Management in the HLA, Multidimensional Regions and Physically Correct Filtering", in Proceedings of the Simulation Interoperability Workshop, Spring 1997.Google Scholar
- 3.G.Tan, L.Xu, F.Moradi and YS Zhang, "An Agent-based DDM Filtering Mechanism", in proceedings of MASCOTS, San Francisco, USA, Aug 2000. Google ScholarDigital Library
- 4.Danny Cohen and Andreas Kemkes, "'User-Level Measurement of DDM Scenarios", in proceeding of the Simulation Interoperability Workshop (SIW), Spring 1997.Google Scholar
- 5.Steven J. Rak and Daniel J. Van Hook, "'Evaluation of grid-based relevance filtering for multicast group assignment", in Proceedings of the Distributed Interactive Simulation, 1996.Google Scholar
- 6.Pete Rizik et al., "Optimal geographic routing space cell size in the FEDEP for prey-centric models", in Proceedings of the Simulation Interoperability Workshop (SIW), Spring 1998.Google Scholar
- 7.A.Boukerche, A.Roy & N.Thomas, "'Dynamic Grid-Based Multicast Group Assignment in Data Distribution Management", proceedings of 4 th Workshop on Distributed Simulation and Real-time Applications, San Francisco, USA, August 2000. Google ScholarDigital Library
- 8.Daniel J. Van Hook, Steven J. Rak, James O. Calvin, "Approaches to RTI Implementation of HLA Data Distribution Management Services", the 15th Workshop on Standards for the lnteroperability of Distributed Simulations, September 1996.Google Scholar
- 9.Van Hook, Daniel J., David P. Cebula, Steven J. Rak, Carol J. Chiang, Paul N. DiCaprio, James O. Calvin, "Performance of STOW RITN Application Control Techniques", 14 th Workshop on Standards for the lnteroperability of Distributed Simulations, March 1996.Google Scholar
- 10.R.Sudra, T.Janahan, & Taylor, "Distributed Supply Chain Simulation in GRIDS", proceedings of 2000 Winter Simulation Conference, Florida, U.S.A., December 2000. Google ScholarDigital Library
- 11.Georgia Tech Research Corporation, "FDK-Federated Simulations Development Kit", November 1998. http://www.cc.gatech.edu/computing/pads/fdk.htmlGoogle Scholar
- 12.Dartmouth College, "D'Agents", November 1999. http://agent.cs.dartmouth.eduGoogle Scholar
- 13.Gary Tan, Rassul Ayani, Yusong Zhang and Farshad Moradi. "Grid-based Data Management in Distributed Simulation", in Proceedings of 33 rJ Annual Simulation Symposium, Washington, U.S.A., April 2000. Google ScholarDigital Library
- 14.Farshad Moradi, Rassul Ayani, Gary Tan, "Object and Ownership Management in Air Traffic Control Simulations", in Proceedings of IEEE Distributed Interactive Simulation -Real Time '99, Maryland, U.S.A., October 1999. Google ScholarDigital Library
Index Terms
- An agent-based DDM for high level architecture
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