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Article

Improving Data Filtering Accuracy in Hierarchical Federations

Published: 30 March 2003 Publication History

Abstract

The High Level Architecture (HLA) is an IEEE standardsoftware architecture for creating computer models andsimulations in a distributed environment. The currentimplementation assumes a single federation only.Hierarchical Federations Architecture (HFA) is anextension to the HLA. It supports multiple federationsand federates in different federations communicate witheach other through gateway federations. Comparing witha flat federation, the communication in HFA is morecomplex and needs a longer time. In this paper, we willgive our solution to minimize the latency effect so as toimprove the data filtering accuracy in hierarchicalfederations.

References

[1]
{1} Defense Modeling and Simulation Office, "High Level Architecture Run-Time Infrastructure: RTI 1.3-Next Generation Programmers's Guide Version 3.2", April 2000.
[2]
{2} Wentong Cai, Stephen J. Turner, Boon Ping Gan. "Hierarchical Federations: An Architecture for Information Hiding", Proceedings of the 15th Workshop on Parallel and Distributed Simulation, pp. 67-74, Lake Arrowhead, California, USA, May, 2001.
[3]
{3} Kuo-Chi Lin, "Dead Reckoning and Distributed Interactive Simulation," In Proc. Of SPIE Conference (AeroSense'95), Orlando, Florida, April 1995.
[4]
{4} Daniel J. Van Hook, Steven J. Rak, James O. Calvin, "Approaches to RTI Implementation of HLA Data Distribution Management Services," 15th Workshop on Standards for the Interoperability of Distributed Simulations, Sept. 1996, 96-15- 084.
[5]
{5} Li LIU, Stephen J. TURNER, Wentong CAI, Bu Sung LEE, Guangya LI, "DDM Implementation in Hierarchical Federations", 02F-SIW-033, Orlando, Florida, USA, Sept, 2002.

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Published In

cover image ACM Conferences
ANSS '03: Proceedings of the 36th annual symposium on Simulation
March 2003
337 pages
ISBN:0769519113

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IEEE Computer Society

United States

Publication History

Published: 30 March 2003

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Author Tags

  1. Data Distribution Management
  2. Data Redundancy
  3. DataLoss
  4. Hierarchical Federations
  5. InformationHiding
  6. Latency

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