An experimental study on tuning the consistency of NoSQL systems

Summary The eventual consistency model has been widely adopted in NoSQL systems. By tolerating weak consistency, these systems attain high throughput and availability while sustaining side effects on user experience and developer friendliness. Trading off consistency from latency has been a common c...

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Bibliographic Details
Published in:Concurrency and computation 2017-06, Vol.29 (12), p.n/a
Main Authors: Huang, Xiangdong, Wang, Jianmin, Yu, Philip S., Bai, Jian, Zhang, Jinrui
Format: Article
Language:English
Subjects:
Anomalies
Cassandra
Consistency
NoSQL
optimization
queue
Queues
replica consistency
Side effects
Tuning
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Summary:Summary The eventual consistency model has been widely adopted in NoSQL systems. By tolerating weak consistency, these systems attain high throughput and availability while sustaining side effects on user experience and developer friendliness. Trading off consistency from latency has been a common consensus. An important but widely ignored problem is how to control the consistency of an existing system without the necessity of modifying the system implementation. In this paper, we present a systematic study on the client‐centric consistency of a NoSQL system, Cassandra, and disclose how the consistency can be substantially enhanced by tuning the system configurations when users use partial quorum settings. We use session guarantee as the consistency model and analyze the root cause of consistency violation, testifying that the length of the write queue is a reasonable indicator for consistency quantification. For inconsistency mitigation, we show through extensive experiments how the consistency is affected by the read and write processes of the system, and how the consistency can be improved by tuning system configurations. In particular, we provide developers with recommended configurations by changing the write thread number and the fine‐grained quorum setting for enhanced consistency control. Because consistency anomalies do not occur uniformly, we discuss how to stabilize the consistency by analyzing system logs.
ISSN:1532-0626
1532-0634
DOI:10.1002/cpe.4129