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Article . 1987 . Peer-reviewed
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The Complexity of Reliable Concurrency Control

The complexity of reliable concurrency control
Authors: Christos H. Papadimitriou; Mihalis Yannakakis;

The Complexity of Reliable Concurrency Control

Abstract

Summary: We define what it means for a schedule to be reliable, that is, correct in the face of possible transaction failures (assuming that aborting a transaction to restore correctness is not allowed). It turns out that the right definition is recursive, and surprisingly involved. We show that, in fact, testing a schedule for reliability is PSPACE-complete, and thus in some sense even harder than the ordinary NP-complete notions of correctness examined in the past. However, we also prove that all conflict serializable schedules are always reliable, and thus reliability should not be an extra complication for practical concurrency control systems. Finally, we examine two other notions of reliability, related to multiple versions and aborts.

Related Organizations
Keywords

serializability, concurrency control, Information storage and retrieval of data, Analysis of algorithms and problem complexity, reliable schedule, PSPACE-complete, Performance evaluation, queueing, and scheduling in the context of computer systems, games

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
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