Abstract

AbstractMobile and other loosely-coupled environments call for decentralized optimistic replication protocols that provide highly available access to shared objects, whilst ensuring an eventual convergence towards a strongly consistent state. In this paper we propose a novel epidemic weighted voting protocol for achieving such goal. Epidemic weighted voting approaches eliminate the single point of failure limitation of primary commit approaches. Our protocol introduces a significant improvement nover other epidemic weighted voting solutions by allowing multiple, causally related updates to be committed at a single distributed election round. We demonstrate that our proposed protocol is especially advantageous with the weak connectivity levels that characterize mobile and other loosely-coupled networks. We support such assumptions by presenting comparison results obtained from side-by-side execution of reference protocols in a simulated environment.KeywordsVersion VectorWeighted VoteLogical ObjectStable VersionReplica ServerThese 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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