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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 (UMR 6174), Inria Nancy - Grand Est, LORIA - FM - Department of Formal Methods
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.
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Submitted on : Monday, November 6, 2006 - 7:00:01 AM
Last modification on : Friday, January 21, 2022 - 3:09:02 AM
Long-term archiving on: : Thursday, September 20, 2012 - 12:11:10 PM


  • HAL Id : inria-00108523, version 1


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, pp.259 - 268. ⟨inria-00108523⟩



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