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최영리

Choi, Young-Ri
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dc.citation.conferencePlace US -
dc.citation.endPage 44 -
dc.citation.startPage 31 -
dc.citation.title USENIX Conference on File and Storage Technologies -
dc.contributor.author Nam, Moohyeon -
dc.contributor.author Cha, Hokeun -
dc.contributor.author Choi, Young-Ri -
dc.contributor.author Noh, Sam H. -
dc.contributor.author Nam, Beomseok -
dc.date.accessioned 2024-02-01T00:38:12Z -
dc.date.available 2024-02-01T00:38:12Z -
dc.date.created 2019-07-10 -
dc.date.issued 2019-02-25 -
dc.description.abstract Low latency storage media such as byte-addressable persistent memory (PM) requires rethinking of various data structures in terms of optimization. One of the main challenges in implementing hash-based indexing structures on PM is how to achieve efficiency by making effective use of cachelines while guaranteeing failure-atomicity for dynamic hash expansion and shrinkage. In this paper, we present Cacheline-Conscious Extendible Hashing (CCEH) that reduces the overhead of dynamic memory block management while guaranteeing constant hash table lookup time. CCEH guarantees failure-atomicity without making use of
explicit logging. Our experiments show that CCEH effectively adapts its size as the demand increases under the finegrained ailure-atomicity constraint and its maximum query latency is an order of magnitude lower compared to the stateof-the-art ashing techniques.
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dc.identifier.bibliographicCitation USENIX Conference on File and Storage Technologies, pp.31 - 44 -
dc.identifier.scopusid 2-s2.0-85075853734 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/80120 -
dc.language 영어 -
dc.publisher USENIX Association -
dc.title Write-Optimized Dynamic Hashing for Persistent Memory -
dc.type Conference Paper -
dc.date.conferenceDate 2019-02-25 -

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