Simplicity as the Ultimate Principle: The Art of Garbage Collection Management in SSDs Inspired by Natural Data Behavior

As solid-state drives (SSDs) are increasingly used in various computing environments, effective garbage collection (GC) management is crucial for enhancing performance and extending lifespan. Existing GC strategies rely on complex data categorization techniques to distinguish between hot and cold data. This process is not only computationally expensive but also inefficient. This article introduces a revolutionary simplified GC management method, which we call SUP-GC, based on the core design principle that simplicity is the ultimate principle. SUP-GC requires almost no computation and naturally redefines the data storage pattern. All newly written data is defaulted as hot data and stored directly in hot data blocks; data that needs to be moved during the GC process is considered cold data and uniformly migrated to cold data blocks. Our strategy eliminates the need for precise but resource-intensive real-time analysis of data states and instead adopts a storage strategy that is highly consistent with the natural properties of data. This intuitive partitioning significantly reduces the need for complex judgments about data states, thereby optimizing the storage management process. Experiments and designs on real SSDs have shown that our SUP-GC strategy significantly outperforms existing mainstream GC methods.

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Publication Details

Journal
ACM Transactions on Storage
Published
2025-03-19
DOI
https://doi.org/10.1145/3725219
Citations
1
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
1.49
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article

Simplicity as the Ultimate Principle: The Art of Garbage Collection Management in SSDs Inspired by Natural Data Behavior

Keyu Wang, Huailiang Tan, Keqin Li
1 citations
ACM Transactions on Storage
Advanced Data Storage Technologies
1.49
article

Simplicity as the Ultimate Principle: The Art of Garbage Collection Management in SSDs Inspired by Natural Data Behavior

Keyu Wang, Huailiang Tan, Keqin Li
article en
1 citations

Abstract

As solid-state drives (SSDs) are increasingly used in various computing environments, effective garbage collection (GC) management is crucial for enhancing performance and extending lifespan. Existing GC strategies rely on complex data categorization techniques to distinguish between hot and cold data. This process is not only computationally expensive but also inefficient. This article introduces a revolutionary simplified GC management method, which we call SUP-GC, based on the core design principle that simplicity is the ultimate principle. SUP-GC requires almost no computation and naturally redefines the data storage pattern. All newly written data is defaulted as hot data and stored directly in hot data blocks; data that needs to be moved during the GC process is considered cold data and uniformly migrated to cold data blocks. Our strategy eliminates the need for precise but resource-intensive real-time analysis of data states and instead adopts a storage strategy that is highly consistent with the natural properties of data. This intuitive partitioning significantly reduces the need for complex judgments about data states, thereby optimizing the storage management process. Experiments and designs on real SSDs have shown that our SUP-GC strategy significantly outperforms existing mainstream GC methods.

ACM Transactions on StorageVol. 21(4)
State University of New York (US), SUNY New Paltz (US), Hunan University (CN)
Openalex Percentile: Top 19%
Advanced Data Storage Technologies
1.49
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Simplicity as the Ultimate Principle: The Art of Garbage Collection Management in SSDs Inspired by Natural Data Behavior — Keyu Wang, Huailiang Tan, et al. · ACM Transactions on Storage (2025) | TGRS Research Map | TGRS