Collaborative Computing: Networking, Applications and Worksharing. 4th International Conference, CollaborateCom 2008, Orlando, FL, USA, November 13-16, 2008, Revised Selected Papers

Research Article

Using Epidemic Hoarding to Minimize Load Delays in P2P Distributed Virtual Environments

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  • @INPROCEEDINGS{10.1007/978-3-642-03354-4_43,
        author={Ingo Scholtes and Jean Botev and Markus Esch and Hermann Schloss and Peter Sturm},
        title={Using Epidemic Hoarding to Minimize Load Delays in P2P Distributed Virtual Environments},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 4th International Conference, CollaborateCom 2008, Orlando, FL, USA, November 13-16, 2008, Revised Selected Papers},
        proceedings_a={COLLABORATECOM},
        year={2012},
        month={5},
        keywords={DVE P2P Hoarding Gossiping Epidemic Aggregation},
        doi={10.1007/978-3-642-03354-4_43}
    }
    
  • Ingo Scholtes
    Jean Botev
    Markus Esch
    Hermann Schloss
    Peter Sturm
    Year: 2012
    Using Epidemic Hoarding to Minimize Load Delays in P2P Distributed Virtual Environments
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-642-03354-4_43
Ingo Scholtes1,*, Jean Botev1,*, Markus Esch2,*, Hermann Schloss1,*, Peter Sturm1,*
  • 1: University of Trier
  • 2: University of Luxembourg
*Contact email: scholtes@syssoft.uni-trier.de, botev@syssoft.uni-trier.de, markus.esch@uni.lu, schloss@syssoft.uni-trier.de, sturm@syssoft.uni-trier.de

Abstract

Distributed Virtual Environments (DVEs) have grown popular in various fields of application. Apart from providing great collaborational opportunities in an immersive setting, large-scale DVEs pose severe scalability challenges. Although P2P approaches have proven to be effective for tackling many of these issues, still load delay problems remain in regions with high object or avatar density. In this article we present and evaluate a hoarding approach that is suitable to minimize such delays in P2P-based DVEs with a real-time distribution of dynamic data. The prediction of what data shall be hoarded is based on an epidemic aggregation algorithm working solely with local knowledge. Evaluation results that have been obtained using a DVE simulation environment will be presented.