Abstract : P2p Network for Very Large Virtual Environments. PDF Print E-mail

R. Cavagna, C. Bouville, and J. Royan. P2p Network for Very Large Virtual Environments. VRST'06, 1-3 November, 2006, Limassol, Cyprus.

The ever increasing speed of Internet connections has led to a point where it is actually possible for every end user to seamlessly share data on Internet. Peer-To-Peer (P2P) networks are typical of this evolution. The goal of our paper is to show that server-less P2P networks with self-adaptive assignment techniques can efficiently deal with very large environments such as met in the geovisualization domain. Our method allows adaptative view-dependent visualization thanks to a hierarchical and progressive data structure that describes the environment. In order to assess the global efficiency of this P2P technique, we have implemented a dedicated real time simulator. Experimentation results are presented using a hierarchical LOD model of a very large urban environment.

 
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