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Solid-state drives (SSDs) are rapidly replacing hard disk drives in enterprise data centers due to their higher throughput and reliability. However, the SSD’s random write performance is limited by the NAND flash memories within the SSD, which require garbage collection (GC). To improve the write throughput, a logical block address (LBA) scrambler has been previously proposed. However, there are two...
Solid-state drives (SSDs) are over-taking hard disk drives (HDDs) as high-volume storage in enterprise servers and data centers. However, SSDs write performance is limited due to their inability to overwrite in-place and need for garbage collection. To reduce the garbage collection (GC) overhead, a logical block address (LBA) scrambler has been proposed. However, the LBA scrambler has two issues:...
The variable behavior of ReRAM memory cells is modeled with machine learning. Two types of prediction are investigated, reset in the next-cycle and cell fail in the long term. A new proposal, Proactive Bit Redundancy, introduces a ML-traied Prediction Engine into the SSD controller, to predict fail cells and replace them proactively - before actual failure- by redundancy. With the Invalid Masking...
Solid-state drives (SSDs) are replacing hard disk drives (HDDs) in many applications. However, SSD is slow in write performance due to the “erase-before-write” characteristics. The performance bottleneck lies in the garbage collection (GC) operation in which all the valid pages have to be copied from the erasing block to a new block. This paper proposes a NAND flash aware data management system to...
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