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Programming an SSD Controller to Support Batched Writes for Variable-Size Pages

DC Field Value Language
dc.contributor.authorDo, Jae Young-
dc.contributor.authorLuo, Chen-
dc.contributor.authorLomet, David-
dc.date.accessioned2024-05-09T06:42:28Z-
dc.date.available2024-05-09T06:42:28Z-
dc.date.created2024-05-09-
dc.date.issued2021-04-
dc.identifier.citationProceedings - International Conference on Data Engineering, pp.756-767-
dc.identifier.issn1084-4627-
dc.identifier.urihttps://hdl.handle.net/10371/201367-
dc.description.abstractExploiting a storage hierarchy is critical to cost-effective data management. However, most systems are challenged when data is not in cache because of the additional I/O to move data between SSD and main memory. To improve both cost and performance, some systems use a log structured store to write a batch of pages instead of a "block-at-a-time". However, host-based log structuring incurs the additional cost and complexity of garbage collection and recovery, duplicating similar SSD FTL functionality. In prior work, we presented a customized SSD controller implementation for an Open-Channel SSD to enable host computers to write batches of fixed size pages. This current work is a major redesign to support a batched write interface with variable size pages. Variable size pages can enable easy support of data compression and encryption, as well as reducing internal page storage fragmentation, e.g, within a B-tree. Thus it further improves I/O performance while making it easier and more efficient to support these capabilities.-
dc.language영어-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleProgramming an SSD Controller to Support Batched Writes for Variable-Size Pages-
dc.typeArticle-
dc.identifier.doi10.1109/ICDE51399.2021.00071-
dc.citation.journaltitleProceedings - International Conference on Data Engineering-
dc.identifier.wosid000687830800064-
dc.identifier.scopusid2-s2.0-85112865360-
dc.citation.endpage767-
dc.citation.startpage756-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorDo, Jae Young-
dc.type.docTypeProceedings Paper-
dc.description.journalClass1-
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  • College of Engineering
  • Department of Electrical and Computer Engineering
Research Area AI 애플리케이션을 위한 알고리즘-시스템 공동 설계, AI-powered Big Data Management, Generative AI, Large Language Model, ML, 고성능 대규모 AI 데이터 분석 및 처리, 모달 AI

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