NDLI: Causal consistency: beyond memory

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Causal consistency: beyond memory

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Causal consistency: beyond memory

Content Provider	ACM Digital Library
Author	Perrin, Matthieu Mostefaoui, Achour Jard, Claude
Abstract	In distributed systems where strong consistency is costly when not impossible, causal consistency provides a valuable abstraction to represent program executions as partial orders. In addition to the sequential program order of each computing entity, causal order also contains the semantic links between the events that affect the shared objects -- messages emission and reception in a communication channel, reads and writes on a shared register. Usual approaches based on semantic links are very difficult to adapt to other data types such as queues or counters because they require a specific analysis of causal dependencies for each data type. This paper presents a new approach to define causal consistency for any abstract data type based on sequential specifications. It explores, formalizes and studies the differences between three variations of causal consistency and highlights them in the light of PRAM, eventual consistency and sequential consistency: weak causal consistency, that captures the notion of causality preservation when focusing on convergence; causal convergence that mixes weak causal consistency and convergence; and causal consistency, that coincides with causal memory when applied to shared memory.
Starting Page	1
Ending Page	12
Page Count	12
File Format	PDF
ISBN	9781450340922
DOI	10.1145/2851141.2851170
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-02-27
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Shared objects Consistency criteria Sequential consistency Weak causal consistency Causal consistency Pipelined consistency
Content Type	Text
Resource Type	Article

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