Performance and reliability optimization for high-density flash-based hybrid SSDs

Luo, Longfei; Li, Shicheng; Lv, Yina; Shi, Liang

doi:10.1016/j.sysarc.2023.102830

Cited by 2 publications

(1 citation statement)

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“…Modern Solid-State Drives (SSDs) are increasingly adopting Quad-Level Cell (QLC) flash memory, a technology that allows for the storage of four bits of data in a single cell, as their primary storage medium to significantly enhance storage capacity [1][2][3][4]. Although this advancement offers a substantial price advantage over SSDs utilizing Single-Level Cell (SLC), Multi-Level Cell (MLC), or Triple-Level Cell (TLC) technologies, QLC SSDs often face limitations in terms of I/O performance and lifespan, a comparison of which is detailed in Table 1 [5].…”

Section: Introductionmentioning

confidence: 99%

Data Placement Using a Classifier for SLC/QLC Hybrid SSDs

Cho,

Kim

2024

Applied Sciences

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In hybrid SSDs (solid-state drives) consisting of SLC (single-level cell) and QLC (quad-level cell), efficiently using the limited SLC cache space is crucial. In this paper, we present a practical data placement scheme, which determines the placement location of incoming write requests using a lightweight machine-learning model. It leverages information about I/O workload characteristics and SSD status to identify cold data that does not need to be stored in the SLC cache with high accuracy. By strategically bypassing the SLC cache for cold data, our scheme significantly reduces unnecessary data movements between the SLC and QLC regions, improving the overall efficiency of the SSD. Through simulation-based studies using real-world workloads, we demonstrate that our scheme outperforms existing approaches by up to 44%.

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