Title | ||
---|---|---|
A Novel Multi-Stage Forest-Based Key-Value Store for Holistic Performance Improvement. |
Abstract | ||
---|---|---|
Key-value (KV) stores based on multi-stage structures are widely deployed to organize massive amounts of easily searchable user data. However, current KV storage systems inevitably sacrifice at least one of the performance objectives, such as write, read, space efficiency etc., for the optimization of others. To understand the root cause of and ultimately remove such performance disparities among ... |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/TPDS.2019.2950248 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | DocType | Volume |
Vegetation,Compaction,Forestry,Indexes,Optimization,Data models,Silicon | Journal | 31 |
Issue | ISSN | Citations |
4 | 1045-9219 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ziyi Lu | 1 | 1 | 2.05 |
Qiang Cao | 2 | 17 | 8.39 |
Fei Mei | 3 | 6 | 1.76 |
Hong Jiang | 4 | 2137 | 157.96 |
Jingjun Li | 5 | 6 | 1.86 |