Taurus: lightweight parallel logging for in-memory database management systems
Existing single-stream logging schemes are unsuitable for in-memory database management systems (DBMSs) as the single log is often a performance bottleneck. To overcome this problem, we present Taurus, an efficient parallel logging scheme that uses multiple log streams, and is compatible with both d...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
VLDB Endowment
2022
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| Online Access: | https://hdl.handle.net/1721.1/143468 |