Lightweight Causal Cluster Consistency
Artikel i vetenskaplig tidskrift, 2006

Within an e®ort for providing a layered architecture of services supporting multipeer 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 o®ers 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 decentralized 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.

Internet application layer services.

large scale group communication


peer-to-peer systems

collaborative environments


Anders Gidenstam

Chalmers, Data- och informationsteknik, Datavetenskap

Boris Koldehofe

Marina Papatriantafilou

Chalmers, Data- och informationsteknik, Datavetenskap

Philippas Tsigas

Chalmers, Data- och informationsteknik, Datavetenskap

Proceedings of the Conference on Innovative Internet Community Systems, LNCS, Springer Verlag

Vol. 3908 - 17-28


Datavetenskap (datalogi)

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