Eventually consistent failure detectors

  • Authors:
  • Mikel Larrea;Antonio Fernández;Sergio Arévalo

  • Affiliations:
  • Departamento de Arquitectura y Tecnología de Computadores, Universidad del País Vasco, Paseo Manuel de Lardizabal 1, 20018 San Sebastián, Spain;Universidad Rey Juan Carlos, 28933 Móstoles, Spain;Universidad Rey Juan Carlos, 28933 Móstoles, Spain

  • Venue:
  • Journal of Parallel and Distributed Computing
  • Year:
  • 2005

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Abstract

The concept of unreliable failure detector was introduced by Chandra and Toueg as a mechanism that provides information about process failures. This mechanism has been used to solve different problems in asynchronous systems, in particular the Consensus problem. In this paper, we present a new class of unreliable failure detectors, which we call Eventually Consistent and denote by @?C. This class combines the failure detection capabilities of class @?S with the eventual leader election capability of class @W. This capability allows all correct processes to eventually choose the same correct process as leader. We study the relationship between @?C and other classes of failure detectors. We also propose an efficient algorithm to transform @?C into @?P in models of partial synchrony. Finally, to show the power of this new class of failure detectors, we present a Consensus algorithm based on @?C. This algorithm successfully exploits both the leader election and the failure detection capabilities of the failure detector, and performs better in number of rounds than all the previously proposed algorithms for @?S.