Limitations of Highly-Available Eventually-Consistent Data Stores

Modern replicated data stores aim to provide high availability, by immediately responding to client requests, often by implementing objects that expose concurrency. Such objects, for example, multi-valued registers (MVRs), do not have sequential specifications. This paper explores a recent model for...

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Veröffentlicht in:IEEE transactions on parallel and distributed systems 2017-01, Vol.28 (1), p.141-155
Hauptverfasser: Attiya, Hagit, Ellen, Faith, Morrison, Adam
Format: Artikel
Sprache:eng
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Zusammenfassung:Modern replicated data stores aim to provide high availability, by immediately responding to client requests, often by implementing objects that expose concurrency. Such objects, for example, multi-valued registers (MVRs), do not have sequential specifications. This paper explores a recent model for replicated data stores that can be used to precisely specify causalconsistency for such objects, and liveness properties like eventual consistency, without revealing details of the underlying implementation. The model is used to prove the following results: 1) An eventually consistent data store implementing MVRs cannot satisfy a consistency model strictly stronger than observable causal consistency (OCC). OCC is a model somewhat stronger than causal consistency, which captures executions in which client observations can use causality to infer concurrency of operations. This result holds under certain assumptions about the data store. 2) Under the same assumptions, an eventually consistent and causally consistent replicated data store must send messages of size linear in the size of the system: Ifs objects, each Ω(lg k)-bit in size, are supported by n replicas, then there is an execution in which an Ω(min{n, s}lg k)-bit message is sent.
ISSN:1045-9219
1558-2183
DOI:10.1109/TPDS.2016.2556669