Gria: an efficient deterministic concurrency control protocol

Deterministic databases are able to reduce coordination costs in a replication. This property has fostered a significant interest in the design of efficient deterministic concurrency control protocols. However, the state-of-the-art deterministic concurrency control protocol Aria has three issues. Fi...

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Vydáno v:	Frontiers of Computer Science Ročník 18; číslo 4; s. 184204
Hlavní autoři:	WANG, Xinyuan, PENG, Yun, HUANG, Hejiao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Beijing Higher Education Press 01.08.2024 Springer Nature B.V
Témata:	Computer Science Concurrency Concurrency control deterministic concurrency control Protocol Research Article transaction processing transaction processing deterministic concurrency control
ISSN:	2095-2228, 2095-2236
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Abstract	Deterministic databases are able to reduce coordination costs in a replication. This property has fostered a significant interest in the design of efficient deterministic concurrency control protocols. However, the state-of-the-art deterministic concurrency control protocol Aria has three issues. First, it is impractical to configure a suitable batch size when the read-write set is unknown. Second, Aria running in low-concurrency scenarios, e.g., a single-thread scenario, suffers from the same conflicts as running in high-concurrency scenarios. Third, the single-version schema brings write-after-write conflicts. To address these issues, we propose Gria, an efficient deterministic concurrency control protocol. Gria has the following properties. First, the batch size of Gria is auto-scaling. Second, Gria's conflict probability in low-concurrency scenarios is lower than that in high-concurrency scenarios. Third, Gria has no write-after-write conflicts by adopting a multi-version structure. To further reduce conflicts, we propose two optimizations: a reordering mechanism as well as a rechecking strategy. The evaluation result on two popular benchmarks shows that Gria outperforms Aria by 13x.
AbstractList	Deterministic databases are able to reduce coordination costs in a replication. This property has fostered a significant interest in the design of efficient deterministic concurrency control protocols. However, the state-of-the-art deterministic concurrency control protocol Aria has three issues. First, it is impractical to configure a suitable batch size when the read-write set is unknown. Second, Aria running in low-concurrency scenarios, e.g., a single-thread scenario, suffers from the same conflicts as running in high-concurrency scenarios. Third, the single-version schema brings write-after-write conflicts.To address these issues, we propose Gria, an efficient deterministic concurrency control protocol. Gria has the following properties. First, the batch size of Gria is auto-scaling. Second, Gria’s conflict probability in low-concurrency scenarios is lower than that in high-concurrency scenarios. Third, Gria has no write-after-write conflicts by adopting a multi-version structure. To further reduce conflicts, we propose two optimizations: a reordering mechanism as well as a rechecking strategy. The evaluation result on two popular benchmarks shows that Gria outperforms Aria by 13x. Deterministic databases are able to reduce coordination costs in a replication. This property has fostered a significant interest in the design of efficient deterministic concurrency control protocols. However, the state-of-the-art deterministic concurrency control protocol Aria has three issues. First, it is impractical to configure a suitable batch size when the read-write set is unknown. Second, Aria running in low-concurrency scenarios, e.g., a single-thread scenario, suffers from the same conflicts as running in high-concurrency scenarios. Third, the single-version schema brings write-after-write conflicts. To address these issues, we propose Gria, an efficient deterministic concurrency control protocol. Gria has the following properties. First, the batch size of Gria is auto-scaling. Second, Gria's conflict probability in low-concurrency scenarios is lower than that in high-concurrency scenarios. Third, Gria has no write-after-write conflicts by adopting a multi-version structure. To further reduce conflicts, we propose two optimizations: a reordering mechanism as well as a rechecking strategy. The evaluation result on two popular benchmarks shows that Gria outperforms Aria by 13x.
ArticleNumber	184204
Author	WANG, Xinyuan HUANG, Hejiao PENG, Yun
Author_xml	– sequence: 1 givenname: Xinyuan surname: WANG fullname: WANG, Xinyuan organization: School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, China – sequence: 2 givenname: Yun surname: PENG fullname: PENG, Yun organization: Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou 510006, China – sequence: 3 givenname: Hejiao surname: HUANG fullname: HUANG, Hejiao email: huanghejiao@hit.edu.cn organization: School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, China
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SubjectTerms	Computer Science Concurrency Concurrency control deterministic concurrency control Protocol Research Article transaction processing
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Title	Gria: an efficient deterministic concurrency control protocol
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