Name
Title | ||
|---|---|---|
Exploiting flash memory characteristics to improve performance of RAIS storage systems |
Abstract | ||
|---|---|---|
Redundant array of independent SSDs (RAIS) is generally based on the traditional RAID design and implementation. The random small write problem is a serious challenge of RAIS. Random small writes in parity-based RAIS systems generate significantly more pre-reads and writes which can degrade RAIS performance and shorten SSD lifetime. In order to overcome the well-known write-penalty problem in the parity-based RAID5 storage systems, several logging techniques such as Parity Logging and Data Logging have been put forward. However, these techniques are originally based on mechanical characteristics of the HDDs, which ignore the properties of the flash memory. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11704-018-7009-0 | Frontiers of Computer Science |
Keywords | Field | DocType |
solid state drives,RAIS,properties,performance | Data logger,Flash memory,Computer science,Artificial intelligence,RAID,Operating system,Machine learning,Logging | Journal |
Volume | Issue | ISSN |
13 | 5 | 2095-2236 |
Citations | PageRank | References |
0 | 0.34 | 23 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linjun Mei | 1 | 1 | 1.37 |
| Dan Feng | 2 | 1845 | 188.16 |
| Lingfang Zeng | 3 | 365 | 33.99 |
| Jianxi Chen | 4 | 153 | 10.60 |
| Jingning Liu | 5 | 17 | 5.37 |