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- W2030052884 abstract "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." @default.
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- W2030052884 date "2006-11-01" @default.
- W2030052884 modified "2023-09-28" @default.
- W2030052884 title "P2P Network for very large virtual environment" @default.
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- W2030052884 doi "https://doi.org/10.1145/1180495.1180551" @default.
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