Ajou University repository

Dotori: A Key-Value SSD Based KV Store
Citations

SCOPUS

7

Citation Export

DC Field Value Language
dc.contributor.authorDuffy, Carl-
dc.contributor.authorShim, Jaehoon-
dc.contributor.authorKim, Sang Hoon-
dc.contributor.authorKim, Jin Soo-
dc.date.issued2023-01-01-
dc.identifier.issn2150-8097-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/33355-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85152935155&origin=inward-
dc.description.abstractKey-value SSDs (KVSSDs) represent a major shift in the storage stack design, with numerous potential benefits. Despite this, their lack of native features critical to operation in real world scenarios hinders their adoption, and these benefits go unrealized. Moreover, simply adapting existing key-value stores to run on KVSSDs proves underwhelming, as KVSSDs operate at lower raw device performance when compared to modern block SSDs. This paper introduces Dotori. Dotori is a KVSSD based key-value store that provides much needed functionality in a KVSSD through an upper layer in the host, and takes advantage of the unique KVSSD interface to enable further gains in functionality and performance. At the core of Dotori is a novel B+tree design that is only practical when the underlying storage device is a KVSSD. We test Dotori with an enterprise grade KVSSD against state-of-the-art block SSD based key-value stores through a range of micro-benchmarks and real world workloads. Despite low KVSSD raw device performance, Dotori achieves superior performance to these block-device based key-value stores while also showing significant gains in other important metrics.-
dc.description.sponsorshipWe thank our shepherd and the reviewers for their invaluable help with the work. This work was supported by the National Research Foundation of Korea (NRF) grant (No. 2019R1A2C2089773), an Institute of Information & communications Technology Planning & Evaluation (IITP) grant (No. IITP-2021-0-01363) funded by the Korean government (MSIT), and an Electronics and Telecommunications Research Institute (ETRI) grant funded by the Korean government (23ZS1310). This work was also supported in part by a research grant from Samsung Electronics.-
dc.language.isoeng-
dc.publisherVLDB Endowment-
dc.subject.meshB trees-
dc.subject.meshDevice performance-
dc.subject.meshKey values-
dc.subject.meshKey-value stores-
dc.subject.meshPerformance-
dc.subject.meshPotential benefits-
dc.subject.meshReal-world scenario-
dc.subject.meshStack designs-
dc.subject.meshTree designs-
dc.subject.meshUpper layer-
dc.titleDotori: A Key-Value SSD Based KV Store-
dc.typeConference-
dc.citation.conferenceDate2023.8.28. ~ 2023.9.1.-
dc.citation.conferenceName49th International Conference on Very Large Data Bases, VLDB 2023-
dc.citation.endPage1572-
dc.citation.number6-
dc.citation.startPage1560-
dc.citation.titleProceedings of the VLDB Endowment-
dc.citation.volume16-
dc.identifier.bibliographicCitationProceedings of the VLDB Endowment, Vol.16 No.6, pp.1560-1572-
dc.identifier.doi10.14778/3583140.3583167-
dc.identifier.scopusid2-s2.0-85152935155-
dc.identifier.urlhttp://vldb.org/pvldb/-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaComputer Science (miscellaneous)-
dc.subject.subareaComputer Science (all)-
Show simple item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Kim, Sang-Hoon Image
Kim, Sang-Hoon김상훈
Department of Software and Computer Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.