@inproceedings{3af86191b75c4279a703a3bf0708572e,
title = "Dike: A Benchmark Suite for Distributed Transactional Databases",
abstract = "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.",
keywords = "benchmark suite, distributed transactional database",
author = "Huidong Zhang and Luyi Qu and Qingshuai Wang and Rong Zhang and Peng Cai and Quanqing Xu and Zhifeng Yang and Chuanhui Yang",
note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 2023 ACM/SIGMOD International Conference on Management of Data, SIGMOD 2023 ; Conference date: 18-06-2023 Through 23-06-2023",
year = "2023",
month = jun,
doi = "10.1145/3555041.3589710",
language = "英语",
series = "Proceedings of the ACM SIGMOD International Conference on Management of Data",
publisher = "Association for Computing Machinery",
pages = "95--98",
booktitle = "SIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data",
address = "美国",
}