On Improving the Write Responsiveness for Host-Aware SMR Drives

Yang, Ming‐Chang; Chang, Yuan-Hao; Wu, Fenggang; Kuo, Tei-Wei; Du, David H. C.

doi:10.1109/tc.2018.2845383

Cited by 13 publications

(2 citation statements)

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“…A persistent buffer management strategy called KFR [37] uses a redesigned disk layout and allocation unit to divide zone-scale space recovery into several smaller granular k-frames, which effectively reduces the performance recovery time of the disk. Moreover, Yang et al [13] proposed a host-controllable virtual buffer management scheme that uses a portion of the SMR zones as a virtual buffer to share the write traffic of the persistent buffer.…”

Section: Related Workmentioning

confidence: 99%

“…However, SMR-based persistent buffers are subject to sequential write constraints, resulting in inflexible space allocation and frequent garbage collection (GC). As a result, many existing studies have attempted to reduce cleanup costs by improving the efficiency of space management in the persistent buffer [11][12][13]. Another case is a CMR-based persistent buffer without sequential write constraints, which means that its in-place update feature can reduce the cleanup frequency to some extent and is also the type of interest in this paper.…”

Section: Introductionmentioning

confidence: 99%

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Amphisbaena: A Novel Persistent Buffer Management Strategy to Improve SMR Disk Performance

Zhang,

Yu,

Nie

et al. 2024

Applied Sciences

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The explosive growth of massive data makes shingled magnetic recording (SMR) disks a promising candidate for balancing capacity and cost. SMR disks are typically configured with a persistent buffer to reduce the read–modify–write (RMW) overhead introduced by non-sequential writes. Traditional SMR zones-based persistent buffers are subject to sequential-write constraints, and frequent cleanups cause disk performance degradation. Conventional magnetic recording (CMR) zones with in-place update capabilities enable less frequent cleanups and are gradually being used to construct persistent buffers in certain SMR disks. However, existing CMR zones-based persistent buffer designs fail to accurately capture hot blocks with long update periods and are limited by an inflexible data layout, resulting in inefficient cleanups. To address the above issues, we propose a strategy called Amphisbaena. First, a two-phase data block classification method is proposed to capture frequently updated blocks. Then, a locality-aware buffer space management scheme is developed to dynamically manage blocks with different update frequencies. Finally, a latency-sensitive garbage collection policy based on the above is designed to mitigate the impact of cleanup on user requests. Experimental results show that Amphisbaena reduces latency by an average of 29.9% and the number of RMWs by an average of 37% compared to current state-of-the-art strategies.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%