Self-Learning Hot Data Prediction: Where Echo State Network Meets NAND Flash Memories

Well understanding the access behavior of hot data is significant for NAND flash memory due to its crucial impact on the efficiency of garbage collection (GC) and wear leveling (WL), which respectively dominate the performance and life span of SSD. Generally, both GC and WL rely greatly on the recog...

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Veröffentlicht in:IEEE transactions on circuits and systems. I, Regular papers Regular papers, 2020-03, Vol.67 (3), p.939-950
Hauptverfasser: Luo, Qiwu, Fang, Xiaoxin, Sun, Yichuang, Ai, Jiaqiu, Yang, Chunhua
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Sprache:eng
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