Similarity query support in big data management systems
作者：
Highlights：
• Extends the existing query language of a parallel DBMS to support similarity queries.
• Uses existing operators in the system to implement state-of-the-art techniques.
• Presents a novel framework called the ”AQL+” to optimize similarity queries.
• Includes empirical similarity query experiments using several large, real datasets.
• Compares the approach with three other parallel systems to show its relative efficacy.
摘要
•Extends the existing query language of a parallel DBMS to support similarity queries.•Uses existing operators in the system to implement state-of-the-art techniques.•Presents a novel framework called the ”AQL+” to optimize similarity queries.•Includes empirical similarity query experiments using several large, real datasets.•Compares the approach with three other parallel systems to show its relative efficacy.
论文关键词：Similarity query,Parallel database,Optimization
论文评审过程：Received 25 May 2019, Revised 9 October 2019, Accepted 9 October 2019, Available online 14 October 2019, Version of Record 24 October 2019.
论文官网地址：https://doi.org/10.1016/j.is.2019.101455
