Data Reconciliation in P2P Collaborative Applications

Mounir Tlili 1 William Kokou Dedzoe 1 Esther Pacitti 1 Patrick Valduriez 1 Reza Akbarinia 1 Pascal Molli 2 Gérôme Canals 2 Julien Maire 2 Stéphane Laurière 3
1 ATLAS - Complex data management in distributed systems
UN - Université de Nantes, Inria Rennes – Bretagne Atlantique
2 ECOO - Environment for cooperation
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, we address data reconciliation in peer-to-peer (P2P) collaborative applications. We propose P2P-LTR (Logging and Timestamping for Reconciliation) which provides P2P logging and timestamping services for P2P reconciliation over a distributed hash table (DHT). While updating at collaborating peers, updates are timestamped and stored in a highly available P2P log. During reconciliation, these updates are retrieved in total order to enforce eventual consistency. In this paper, we first give an overview of P2P-LTR with its model and its main procedures. We then present our prototype used to validate P2P-LTR. To demonstrate P2P-LTR, we propose several scenarios that test our solutions and measure performance. In particular, we demonstrate how P2P-LTR handles the dynamic behavior of peers with respect to the DHT.
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Mounir Tlili, William Kokou Dedzoe, Esther Pacitti, Patrick Valduriez, Reza Akbarinia, et al.. Data Reconciliation in P2P Collaborative Applications. 24ème Journées "Bases de Données Avancées" - BDA 2008, Oct 2008, Guilherand-Granges, France. ⟨inria-00376751⟩

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