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DTSTAMP:20260402T024533Z
LOCATION:3008\, Level 3
DTSTART;TZID=America/Los_Angeles:20250624T170000
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UID:dac_DAC 2025_sess157_RESEARCH103@linklings.com
SUMMARY:Enabling Data-Deduplication-Assisted Data Relocation for Interlace
 d Magnetic Recording
DESCRIPTION:Chen-Jui Tu and Shuo-Han Chen (National Yang Ming Chiao Tung U
 niversity)\n\nInterlaced Magnetic Recording (IMR) drives have been regarde
 d as promising hard disk drives (HDDs) to meet the ever-growing storage de
 mand in the post-AI era. Among various technologies, IMR drives achieve in
 creased storage capacity by overlapping tracks in an interlaced fashion; h
 owever, updating data on overlapped tracks necessitates rewriting up to tw
 o tracks, which can degrade performance. Previous strategies have attempte
 d to reduce track rewrites by either delaying the timing of overlapping ba
 sed on storage space usage or relocating frequently updated data to non-ov
 erlapped tracks through update-frequency-based hot/cold data separation. I
 n contrast, this paper proposes a novel approach that leverages data dedup
 lication as a natural solution to the rewrite challenge in IMR drives. Unl
 ike conventional hot/cold separation, this paper utilizes deduplication me
 tadata, specifically reference counts, as a direct indicator for data relo
 cation. The rationale behind the proposed approach is that deduplicated da
 ta, which remains static unless reference counts drop to one, can be store
 d or migrated to overlapped tracks without inducing future track rewrites.
  The proposed approach diverges from traditional frequency tracking by com
 bining data deduplication with IMR technology to optimize data placement a
 nd reduce rewriting. Evaluation results show that the proposed scheme effe
 ctively reduces the accumulated read/write latency by 37.57% on average co
 mpared with state-of-the-art data management on IMR drives with data dedup
 lication enabled.\n\nTopics: Systems\n\nTracks: SYS3: Embedded Software\n\
 nSession Chairs: Hoeseok Yang (Santa Clara University) and Younghyun Kim (
 Purdue University)\n\n
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