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- W4200016817 abstract "Garbage collection (GC) plays an important role in solid-state drives (SSDs) that adopt NAND flash memory for storage. When SSDs run out of free space, SSDs will perform the garbage collection until free space is enough. Therefore, GC can be considered as overhead because it requires additional copy/erase overhead and decreases the overall I/O performance. In this article, we will investigate a supervised-learning-based garbage collection to properly trigger the garbage collection at the right time and also improve the response time of I/O requests. According to the experimental results, we can demonstrate that the proposed method can achieve the objective." @default.
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- W4200016817 date "2021-11-01" @default.
- W4200016817 modified "2023-10-18" @default.
- W4200016817 title "A Supervised-Learning-Based Garbage Collection in Solid-State Drives (SSDs)" @default.
- W4200016817 doi "https://doi.org/10.1109/mitp.2021.3106173" @default.
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