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A neural-network based technology of data distribution management in distributed virtual environment

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In Distributed Virtual Environment many methods of Data Distribution Management (DDM) are presented to efficiently improve network traffic situation and save system resources? these technologies are based on virtual environment partition. The grid size of the partition affects the data distribution results. This paper aims to present a Neural-Network based study mechanism, which adjusts the grid size dynamically in the virtual environment. The simulation results indicate that by using this technique, better experimental results and practicability were achieved regardless the DDM used. And there is a significant improvement in system scalability.

Original languageEnglish
Title of host publicationProceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009
DOIs
StatePublished - 2009
Event2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009 - Wuhan, China
Duration: 11 Dec 200913 Dec 2009

Publication series

NameProceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009

Conference

Conference2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009
Country/TerritoryChina
CityWuhan
Period11/12/0913/12/09

Keywords

  • DDM
  • DVE
  • Grid size
  • Neural-network

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