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    题名: DSTL: A Demand-Based Shingled Translation Layer for Enabling Adaptive Address Mapping on SMR Drives
    作者: Chuang, Yi-Jing;Chen, Shuo-Han;Chang, Yuan-Hao;Liang, Yu-Pei;Wei, Hsin-Wen;Shih, Wei-Kuan
    日期: 2020-07-15
    上传时间: 2021-03-11 12:10:40 (UTC+8)
    摘要: Shingled magnetic recording (SMR) is regarded as a promising technology for resolving the areal density limitation of conventional magnetic recording hard disk drives. Among different types of SMR drives, drive-managed SMR (DM-SMR) requires no changes on the host software and is widely used in today’s consumer market. DM-SMR employs a shingled translation layer (STL) to hide its inherent sequential-write constraint from the host software and emulate the SMR drive as a block device via maintaining logical to physical block address mapping entries. However, because most existing STL designs do not simultaneously consider the access pattern and the data update frequency of incoming workloads, those mapping entries maintained within the STL cannot be effectively managed, thus inducing unnecessary performance overhead. To resolve the inefficiency of existing STL designs, this article proposes a demand-based STL (DSTL) to simultaneously consider the access pattern and update frequency of incoming data streams to enhance the access performance of DM-SMR. The proposed design was evaluated by a series of experiments, and the results show that the proposed DSTL can outperform other SMR management approach by up to 86.69% in terms of read/write performance.
    關聯: ACM Trans. Embed. Comput. Syst. 19(4), 25
    DOI: https://doi.org/10.1145/3391892
    显示于类别:[電機工程學系暨研究所] 期刊論文

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