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Dike: A Benchmark Suite for Distributed Transactional Databases

  • Huidong Zhang
  • , Luyi Qu
  • , Qingshuai Wang
  • , Rong Zhang*
  • , Peng Cai
  • , Quanqing Xu
  • , Zhifeng Yang
  • , Chuanhui Yang
  • *此作品的通讯作者
  • East China Normal University
  • Ant Group

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Distributed relational database management systems (abbr. DDBMSs) for online transaction processing (abbr. OLTP) have been gradually adopted in production environments. With many relevant products vying for the markets, an unbiased benchmark is urgently needed to promote the development of transactional DDBMSs. Current benchmarks for OLTP applications have not taken the challenges encountered during the designs and implementations of a transactional DDBMS into consideration, which expects to provide high elasticity and availability as well as high throughputs. We propose a benchmark suite Dike to evaluate the efforts to tackle these challenges. Dike is designed mainly from three aspects: quantitative control to evaluate scalability, imbalanced distribution to evaluate schedulability, and comprehensive fault injections to evaluate availability. It also provides a dynamic load control to simulate real-world scenarios. In this demonstration, users can experience core features of Dike with user-friendly interfaces.

源语言英语
主期刊名SIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data
出版商Association for Computing Machinery
95-98
页数4
ISBN(电子版)9781450395076
DOI
出版状态已出版 - 6月 2023
活动2023 ACM/SIGMOD International Conference on Management of Data, SIGMOD 2023 - Seattle, 美国
期限: 18 6月 202323 6月 2023

出版系列

姓名Proceedings of the ACM SIGMOD International Conference on Management of Data
ISSN(印刷版)0730-8078

会议

会议2023 ACM/SIGMOD International Conference on Management of Data, SIGMOD 2023
国家/地区美国
Seattle
时期18/06/2323/06/23

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