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Data Placement Through Clustering Sequential Writes and Isolating Cold Pages for Write Amplification Reduction in NAND Flash Memoryopen access

Authors
Baik, SeungsuLee, TaehwaCha, Jaehyuk
Issue Date
Oct-2024
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Flash memories; Streams; Memory management; Performance evaluation; Power demand; History; Time factors; System performance; Solid state drives; Social networking (online); Storage management; Data placement; flash translation layer; garbage collection; NAND flash memory; write amplification
Citation
IEEE Access, v.12, pp 142265 - 142274
Pages
10
Indexed
SCIE
SCOPUS
Journal Title
IEEE Access
Volume
12
Start Page
142265
End Page
142274
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/207051
DOI
10.1109/ACCESS.2024.3470812
ISSN
2169-3536
Abstract
NAND flash-based solid-state drives have revolutionized storage solutions in resource-restrictive electronics owing to their compact size, low power consumption, and high shock resistance. However, they face limitations such as asymmetrical read, write, and erase operations, leading to write amplification (WA), decreased performance, and shorter lifespan. This paper introduces clustering sequential writes and cold isolation (CSWCI), a novel data placement scheme that addresses two critical challenges: identifying sequential writes hidden within random input/output streams and efficiently migrating cold pages. CSWCI employs logical address-based clustering to detect sequential patterns, enhancing spatial locality and reducing random writes. Additionally, it accurately isolates frozen pages that have not been used recently and are not expected to be used again during garbage collection, thus minimizing unnecessary migrations and WA. Unlike conventional methods, CSWCI optimizes memory usage, aligning with the low power consumption requirement of mobile devices such as smartphone and tablet PC. Experimental results demonstrate a maximum 33% reduction in valid page copies, which typically worsens WA compared to existing schemes, indicating improved performance and durability.
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COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
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