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SSD-Assisted backup and recovery for database systems

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dc.contributor.authorSon, Y.-
dc.contributor.authorChoi, J.-
dc.contributor.authorJeon, J.-
dc.contributor.authorMin, C.-
dc.contributor.authorKim, S.-
dc.contributor.authorYeom, H.Y.-
dc.contributor.authorHan, H.-
dc.date.accessioned2023-02-21T02:41:38Z-
dc.date.available2023-02-21T02:41:38Z-
dc.date.issued2017-04-
dc.identifier.issn1084-4627-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60832-
dc.description.abstractBackup and recovery is an important feature of database systems since it protects data against unexpected hardware and software failures. Database systems can provide data safety and reliability by creating a backup and restoring the backup from a failure. Database administrators can use backup/recovery tools that are provided with database systems or backup/recovery methods with operating systems. However, the existing tools perform time-consuming jobs and the existing methods may negatively affect run-Time performance during normal operation even though high-performance SSDs are used. In this paper, we present an SSD-Assisted backup/recovery scheme for database systems. In our scheme, we extend the out-of-place update characteristics of flash-based SSDs for backup/recovery operations. To this end, we exploit the resources (e.g., flash translation layer and DRAM cache with supercapacitors) inside SSDs, and we call our SSD with new backup/recovery features BR-SSD. We design and implement the backup/recovery functionality in the Samsung enterprise-class SSD (i.e., SM843Tn) for more realistic systems. Furthermore, we conduct a case study of BR-SSDs in replicated database systems and modify MySQL with replication to integrate BR-SSDs. The experimental result demonstrates that our scheme provides fast recovery while it does not negatively affect the run-Time performance during normal operation.-
dc.format.extent12-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE Computer Society-
dc.titleSSD-Assisted backup and recovery for database systems-
dc.typeArticle-
dc.identifier.doi10.1109/ICDE.2017.88-
dc.identifier.bibliographicCitationProceedings - International Conference on Data Engineering, pp 285 - 296-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85021242747-
dc.citation.endPage296-
dc.citation.startPage285-
dc.citation.titleProceedings - International Conference on Data Engineering-
dc.type.docTypeConference Paper-
dc.description.journalRegisteredClassscopus-
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소프트웨어대학 (소프트웨어학부)
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