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Cohérence à terme fiable avec des types de données répliquées

Marek Zawirski 1
1 Regal - Large-Scale Distributed Systems and Applications
LIP6 - Laboratoire d'Informatique de Paris 6, Inria Paris-Rocquencourt
Abstract : Eventually consistent replicated databases offer excellent responsiveness and fault-tolerance, but expose applications to the complexity of concurrency andfailures. Recent databases encapsulate these problems behind a stronger interface, supporting causal consistency, which protects the application from orderinganomalies, and/or Replicated Data Types (RDTs), which ensure convergent semantics of concurrent updates using object interface. However, dependable algorithms for RDT and causal consistency come at a cost in metadata size. This thesis studies the design of such algorithms with minimized metadata, and the limits of the design space. Our first contribution is a study of metadata complexity of RDTs. RDTs use metadata to provide rich semantics; many existing RDT implementations incur high overhead in storage space. We design optimized set and register RDTs with metadata overhead reduced to the number of replicas. We also demonstrate metadata lower bounds for six RDTs, thereby proving optimality of four implementations. Our second contribution is the design of SwiftCloud, a replicated causally-consistent RDT object database for client-side applications. We devise algorithms to support high numbers of client-side partial replicas backed by the cloud, in a fault-tolerant manner, with small metadata. We demonstrate how to support availability and consistency, at the expense of some slight data staleness; i.e., our approach trades freshness for scalability (small metadata, parallelism), and availability (ability to fail-over between data centers). We validate our approach with experiments involving thousands of client replicas.
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Marek Zawirski. Cohérence à terme fiable avec des types de données répliquées. Data Structures and Algorithms [cs.DS]. Université Pierre et Marie Curie - Paris VI, 2015. English. ⟨NNT : 2015PA066638⟩. ⟨tel-01248051v2⟩

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