Data Consistency for P2P Collaborative Editing

Gérald Oster 1 Pascal Urso 2 Pascal Molli 2 Abdessamad Imine 3
2 ECOO - Environment for cooperation
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
3 CASSIS - Combination of approaches to the security of infinite states systems
FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies, INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Peer-to-peer (P2P) networks are very efficient for distributing content. We want to use this potential to allow not only distribution but collaborative editing of this content. Existing collaborative editing systems are centralised or depend on the number of sites. such systems cannot scale when deployed on P2P networks. In this paper, we propose a new model for building a collaborative editing system. This model is fully decentralised and does not depend on the number of sites.
Type de document :
Communication dans un congrès
ACM Conference on Computer-Supported Cooperative Work - CSCW 2006, Nov 2006, Banff, Alberta, Canada, ACM Press, pp.259 - 268, 2006, Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
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Contributeur : Gérald Oster <>
Soumis le : lundi 6 novembre 2006 - 07:00:01
Dernière modification le : jeudi 15 février 2018 - 08:48:09
Document(s) archivé(s) le : jeudi 20 septembre 2012 - 12:11:10

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  • HAL Id : inria-00108523, version 1

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Gérald Oster, Pascal Urso, Pascal Molli, Abdessamad Imine. Data Consistency for P2P Collaborative Editing. ACM Conference on Computer-Supported Cooperative Work - CSCW 2006, Nov 2006, Banff, Alberta, Canada, ACM Press, pp.259 - 268, 2006, Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work. 〈inria-00108523〉

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