@article{oai:ipsj.ixsq.nii.ac.jp:00215807,
 author = {Shinji, Fujiwara and Riro, Senda and Isamu, Kaneko and Hiroshi, Ishikawa and Shinji, Fujiwara and Riro, Senda and Isamu, Kaneko and Hiroshi, Ishikawa},
 issue = {1},
 journal = {情報処理学会論文誌デジタルプラクティス（TDP）},
 month = {Jan},
 note = {Low-latency I/O devices are connected to the peripheral component interconnect express bus on a database server. Most practical database systems are built as a high availability system to avoid a single point of failure. Therefore, we evaluated a high availability database system configured with servers using low-latency I/O devices. We have shown that the performance overhead of the high availability configuration using low-latency solid state drives is 12% compared to a single server configuration, in a primitive update test case. The result of a mixed-workload benchmark indicated that the database system configuration using low-latency I/O devices was up to 6.1 times faster than the performance using traditional external storage when the allocated database buffer was 5% of the database size.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.30(2022) (online)
------------------------------, Low-latency I/O devices are connected to the peripheral component interconnect express bus on a database server. Most practical database systems are built as a high availability system to avoid a single point of failure. Therefore, we evaluated a high availability database system configured with servers using low-latency I/O devices. We have shown that the performance overhead of the high availability configuration using low-latency solid state drives is 12% compared to a single server configuration, in a primitive update test case. The result of a mixed-workload benchmark indicated that the database system configuration using low-latency I/O devices was up to 6.1 times faster than the performance using traditional external storage when the allocated database buffer was 5% of the database size.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.30(2022) (online)
------------------------------},
 title = {Performance Evaluation of High Availability Database Systems Using Low-latency I/O Devices},
 volume = {3},
 year = {2022}
}