P2P Network for very large virtual environment

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. Categories and Subject Descriptors: C.4, C.2.4, C.2.1 : Computer Systems Organization General Terms: Algorithms, Measurement, Performance, Experimentation

• Type: Conference
• Year: 2006
• Where: VRST
• Authors: Romain Cavagna, Christian Bouville, Jérôme Royan
• Keywords: Adaptative View-dependent Visualization, Self-adaptive Assignment Techniques, Server-less P2p Networks, VRST 2006