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Akademický článek

A novel query execution time prediction approach based on operator iterate-aware of the execution plan on the graph database

Autor: Zhenzhen He, Jiong Yu, Tiquan Gu

Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 6, Pp 102125- (2024)

Query execution time prediction is essential for database query optimization tasks, such as query scheduling, progress monitoring, and resource allocation. In the query execution time prediction tasks, the query plan is often used as the modeling obj

Externí odkaz: https://doaj.org/article/5d184cffe5c6434bbdc4b963a9d6b152

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Akademický článek

Query execution time estimation in graph databases based on graph neural networks

Autor: Zhenzhen He, Jiong Yu, Tiquan Gu, Dexian Yang

Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 4, Pp 102018- (2024)

Query execution time estimation is an essential task for databases, accurate estimation results can help administrators to manage and monitor systems. This study proposes an interaction-aware and dependency-aware query execution time estimation appro

Externí odkaz: https://doaj.org/article/f3107d8cf9364559bef5657a375da5d3

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