Lightweight Causal Cluster Consistency

  • Anders Gidenstam
  • Boris Koldehofe
  • Marina Papatriantafilou
  • Philippas Tsigas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3908)


Within an effort for providing a layered architecture of services supporting multi-peer collaborative applications, this paper proposes a new type of consistency management aimed for applications where a large number of processes share a large set of replicated objects. Many such applications, like peer-to-peer collaborative environments for training or entertaining purposes, platforms for distributed monitoring and tuning of networks, rely on a fast propagation of updates on objects, however they also require a notion of consistent state update. To cope with these requirements and also ensure scalability, we propose the cluster consistency model. We also propose a two-layered architecture for providing cluster consistency. This is a general architecture that can be applied on top of the standard Internet communication layers and offers a modular, layered set of services to the applications that need them. Further, we present a fault-tolerant protocol implementing causal cluster consistency with predictable reliability, running on top of decentralised probabilistic protocols supporting group communication. Our experimental study, conducted by implementing and evaluating the two-layered architecture on top of standard Internet transport services, shows that the approach scales well, imposes an even load on the system, and provides high-probability reliability guarantees.


Distribute Hash Table Collaborative Environment Causal Order Arbitrary Process Missing Event 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Anders Gidenstam
    • 1
  • Boris Koldehofe
    • 2
  • Marina Papatriantafilou
    • 1
  • Philippas Tsigas
    • 1
  1. 1.Department of Computer Science and EngineeringChalmers University of TechnologySweden
  2. 2.School of Computer and Communication Science, EPFLSwitzerland

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