Ting Yao
ABSTRACT
No abstract available.
- Sanjay Ghemawat and Jeff Dean. 2016. LevelDB. https://github.com/Level/leveldown/issues/298.Google Scholar
- Garth Gibson and Greg Ganger. 2011. Principles of Operation for Shingled Disk Devices. Carnegie Mellon University Parallel Data Lab Technical Report CMU-PDL-11-107 (2011).Google Scholar
- Patrick O’Neil, Edward Cheng, Dieter Gawlick, and Elizabeth O’Neil. 1996. The log-structured merge-tree (LSM-tree). Acta Informatica 33, 4 (1996), 351–385.Google ScholarDigital Library
- Ting Yao, Jiguang Wan, Ping Huang, Yiwen Zhang, Zhiwen Liu, Changsheng Xie, and Xubin He. 2019. GearDB: A GC-free key-value store on HM-SMR drives with gear compaction. In 19th USENIX Conf. on File and Storage Technologies (FAST).Google Scholar
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