Solid State Drive Targeted Memory-Efficient Indexing for Universal I/O Patterns and Fragmentation Degrees
dc.contributor.author | Im, Junsu | en |
dc.contributor.author | Kim, Jeonggyun | en |
dc.contributor.author | Oh, Seonggyun | en |
dc.contributor.author | Koo, Jinhyung | en |
dc.contributor.author | Park, Juhyung | en |
dc.contributor.author | Chwa, Hoon Sung | en |
dc.contributor.author | Noh, Sam H. | en |
dc.contributor.author | Lee, Sungjin | en |
dc.date.accessioned | 2025-04-04T12:13:07Z | en |
dc.date.available | 2025-04-04T12:13:07Z | en |
dc.date.issued | 2025-03-30 | en |
dc.date.updated | 2025-04-01T07:47:56Z | en |
dc.description.abstract | Thanks to the advance of device scaling technologies, the capacity of SSDs is rapidly increasing. Such increase, however, comes at the cost of a huge index table requiring large DRAM. To provide reasonable performance with less DRAM, various index structures exploiting locality and regularity of I/O references have been proposed. However, they provide deteriorated performance depending on I/O patterns and storage fragmentation. This paper proposes a novel approximate index structure, called AppL, which combines memoryefficient approximate indices and an LSM-tree that has an append-only and sorted nature. AppL reduces the index size to 6∼8-bits per entry, which is considerably smaller than the typical index structures requiring 32∼64-bits, and maintains such high memory efficiency irrespective of locality and fragmentation. By alleviating memory pressure, AppL achieves 33.6∼72.4% shorter read latency and 28.4%∼83.4% higher I/O throughput than state-of-the-art techniques. | en |
dc.description.version | Published version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.doi | https://doi.org/10.1145/3689031.3717478 | en |
dc.identifier.uri | https://hdl.handle.net/10919/125142 | en |
dc.language.iso | en | en |
dc.publisher | ACM | en |
dc.rights | In Copyright | en |
dc.rights.holder | The author(s) | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.title | Solid State Drive Targeted Memory-Efficient Indexing for Universal I/O Patterns and Fragmentation Degrees | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |