Please use this identifier to cite or link to this item: http://dlib.scu.ac.ir/handle/Hannan/365746
Title: P2P Network for very large virtual environment
Authors: Cavagna, Romain;Bouville, Christian;Royan, Jerome
subject: Peer-To-Peer;Self-Adaptation;Self-Organization;Self-Scalability;Simulation;Virtual Environment
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.
Description: 
URI: http://portal.acm.org/citation.cfm?doid=1180495.1180551
http://localhost/handle/Hannan/365746
More Information: START PAGE : 269 END PAGES : 276
Appears in Collections:2002-2008

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Title: P2P Network for very large virtual environment
Authors: Cavagna, Romain;Bouville, Christian;Royan, Jerome
subject: Peer-To-Peer;Self-Adaptation;Self-Organization;Self-Scalability;Simulation;Virtual Environment
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.
Description: 
URI: http://portal.acm.org/citation.cfm?doid=1180495.1180551
http://localhost/handle/Hannan/365746
More Information: START PAGE : 269 END PAGES : 276
Appears in Collections:2002-2008

Files in This Item:
File Description SizeFormat 
AL520797.pdf512.86 kBAdobe PDFThumbnail
Preview File
Title: P2P Network for very large virtual environment
Authors: Cavagna, Romain;Bouville, Christian;Royan, Jerome
subject: Peer-To-Peer;Self-Adaptation;Self-Organization;Self-Scalability;Simulation;Virtual Environment
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.
Description: 
URI: http://portal.acm.org/citation.cfm?doid=1180495.1180551
http://localhost/handle/Hannan/365746
More Information: START PAGE : 269 END PAGES : 276
Appears in Collections:2002-2008

Files in This Item:
File Description SizeFormat 
AL520797.pdf512.86 kBAdobe PDFThumbnail
Preview File