Abstract | ||
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In recent years, Log-Structured Merge Tree (LSMtree) based key-value stores, such as LevelDB and RocksDB, have been widely adopted in data center systems. Though optimized for high-speed write processing, the severe I/O amplification remains a critical constraint that hinders them from reaching their maximum performance potential. Unfortunately, this problem is deeply rooted in the fundamental des... |
Year | DOI | Venue |
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2021 | 10.1109/ICDE51399.2021.00059 | 2021 IEEE 37th International Conference on Data Engineering (ICDE) |
Keywords | DocType | ISSN |
Key-value store,LSM-tree,Bloom filter | Conference | 1084-4627 |
ISBN | Citations | PageRank |
978-1-7281-9184-3 | 0 | 0.34 |
References | Authors | |
0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kecheng Huang | 1 | 0 | 0.34 |
zhiping jia | 2 | 463 | 60.64 |
Zhaoyan Shen | 3 | 14 | 7.94 |
Zili Shao | 4 | 1618 | 134.03 |
Feng Chen | 5 | 5 | 4.51 |