Abstract
In large-scale DVE (Distributed Virtual Environment), data filtering is a critical factor to consider in connection with the real-time communications between simulators geographically separated. However, several existing data filtering mechanisms such as region-based, grid-based and hybrid ones result in limitations in computational complexity, filtering accuracy, or scalability. Aiming at providing an extensible filtering approach and reducing the overhead on both host and network, we propose an interest filtering mechanism based on LoI (Layer of Interest). The mechanism performs data filtering by means of multicast region publication, distributed receiver-side matching, and LoI-Based data filtering. We have implemented the mechanism into our RTI (Run-Time Infrastructure) software, and experiments are taken to demonstrate the effectiveness of it.
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References
Stytz, M.R.: Distributed Virtual Environments. IEEE Computer Graphics and Applications 16(3), 19–31 (1996)
IEEE, IEEE Std 1516-2000: IEEE standard for modeling and simulation (M&S) High Level Architecture (HLA) –Framework and rules (2000)
IEEE, IEEE Std 1516.1-2000: IEEE standard for modeling and simulation (M&S) High Level Architecture (HLA) –Federate interface specification (2000)
Morse, K.L., Bic, L., Dillencourt, M.: Interest management in largescale virtual environments. Teleoperators and Virtual Environments. 9(1), 52–68 (2000)
Gary, T., Liang, X., Moradi, F., Yusong, Z.: An Agent-Based DDM Filtering Mechanism. In: 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, pp. 374–381 (2000)
Raczy, C., Tan, G., Yu, J.: A sort-based DDM matching algorithm for HLA. ACM Transactions on Modeling and Computer Simulation 15(1), 14–38 (2000)
Zhou, Z., Zhao, Q.P.: Extend HLA with layered priority. In: Proceedings of the Spring Simulation Interoperability Workshop, Orlando FL (2003) Paper 03S-SIW-012
MAK Technologies, http://www.mak.com/
Wood, D.D.: Implementation of DDM in the MAK High Performance RTI. In: Proceedings of the Spring Simulation Interoperability Workshop, Orlando, FL (2002) Paper 02S-SIW-056.
Defense Modeling and Simulation Office, http://www.dmso.mil
Hyett, M., Wuerfel, R.: Implementation of the Data Distribution Management Services in the RTI-NG. In: Proceedings of the Spring Simulation Interoperability Workshop, Orlando, FL (2002) Paper 02S-SIW-044
Helfinstine, B., Wilbert, D., Torpey, M., Civinskas, W.: Experiences with data distribution managementin large-scale federations. In: Proceedings of the Fall Simulation Interoperability Workshop, Orlando, FL (2001) Paper 01F-SIW-032
Boukerche, A., Roy, A.: Dynamic grid-based approach to data distribution management. Journal of Parallel and Distributed Computing 62(3), 366–392 (2002)
pRTI, Pitch Technologies AB, http://www.pitch.se
Tan, G., Zhang, Y., Ayani, R.: A hybrid approach to data distribution management. In: Fourth IEEE International Workshop on Distributed Simulation and Real-Time Applications, pp. 55–61 (2000)
Boukerche, A., Lu, K.: Optimized Dynamic Grid-Based DDM Protocol for Large- Scale Distributed Simulation Systems. In: 19th IEEE Internationa Parallel and Distributed Processing Symposium (2005)
Zhou, Z., Zhao, Q.P.: Research on RTI congestion control based on the layer of interest. Journal of Software 15(1), 120–130 (2004)
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Wei, S., Zhou, Z., Wu, W. (2006). An Interest Filtering Mechanism Based on LoI. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds) Advances in Artificial Reality and Tele-Existence. ICAT 2006. Lecture Notes in Computer Science, vol 4282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941354_34
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DOI: https://doi.org/10.1007/11941354_34
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