- Authors
- Dr.-Ing. Lucas Lersch Technische Universität Dresden, Fakultät Informatik, Institut für Systemarchitektur, Professur Datenbanken
- Dr. Ismail OukidTechnische Universität Dresden, Fakultät Informatik, Institut für Systemarchitektur, Professur Datenbanken
- Prof. Dr.-Ing. Wolfgang LehnerTechnische Universität Dresden, Fakultät Informatik, Institut für Systemarchitektur, Professur Datenbanken, Germany
- Ivan Schreter
- title
- An analysis of LSM caching in NVRAM
- Please use the following URL when quoting:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-794444
- conference
- SIGMOD/PODS'17: International Conference on Management of Data. Chicago, 14.- 19. Mai 2017
- original_in_proceeding00000
- DAMON '17: Proceedings of the 13th International Workshop on Data Management on New Hardware
Herausgeber: Association for Computing Machinery
Erscheinungsort: New York
Verlag: ACM
Erscheinungsjahr: 2017
Seiten: 1-5
ISBN: 978-1-4503-5025-9
Artikelnummer: 9 - publication_date
- 2017
- Abstract (EN)
- The rise of NVRAM technologies promises to change the way we think about system architectures. In order to fully exploit its advantages, it is required to develop systems specially tailored for NVRAM devices. Not only this imposes great challenges, but developing full system architectures from scratch is undesirable in many scenarios due to prohibitive development costs. Instead, we analyze in this paper the behavior of an existing log-structured persistent key-value store, namely LevelDB, when run on top of an emulated NVRAM device. We investigate initial opportunities for improvement when adapting a system tailored for HDD/SSDs to run on top of an NVRAM environment. Furthermore, we analyze the behavior of the legacy DRAM caching component of LevelDB and whether more suitable caching policies are required.
- otherVersion00000
- Link zum Artikel, der zuerst in der ACM Digital Library erschienen ist
DOI: 10.1145/3076113.3076123 - Keywords (DE)
- NVRAM-Technologien, NVRAM-Geräte, Systemarchitekturen, Schlüsselwortspeicher, LevelDB
- Keywords (EN)
- NVRAM technologies, NVRAM devices, system architectures, key-value store, LevelDB
- Classification (DDC)
- 004
- Publishing house
- ACM, New York
- version
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-794444
- Qucosa date of publication
- 13.06.2022
- Document type
- in_proceeding
- Document language
- English
- licence