Data Reconciliation in P2P Collaborative Applications - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2008

Data Reconciliation in P2P Collaborative Applications

Mounir Tlili
  • Function : Author
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Pascal Molli
Gérôme Canals
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  • PersonId : 830484
Julien Maire
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  • PersonId : 859697
Stéphane Laurière
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  • PersonId : 859141

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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Dates and versions

inria-00376751 , version 1 (20-04-2009)

Identifiers

  • HAL Id : inria-00376751 , version 1

Cite

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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