Improving Reliability and Performance of NAND Flash Based Storage System

High seek and rotation overhead of magnetic hard disk drive (HDD) motivates development of storage devices, which can offer good random performance. As an alternative technology, NAND flash memory demonstrates low power consumption, microsecond-order access latency and good scalability. Thanks to these advantages, NAND flash based solid state disks (SSD) show many promising applications in enterprise servers. With multi-level cell (MLC) technique, the per-bit fabrication cost is reduced and low production cost enables NAND flash memory to extend its application to the consumer electronics. Despite these advantages, limited memory endurance, long data protection latency and write amplification continue to be the major challenges in the designs of NAND flash storage systems. The limited memory endurance and long data protection latency issue derive from memory bit errors. High bit error rate (BER) severely impairs data integrity and reduces memory durance. The limited endurance is a major obstacle to apply NAND flash memory to the application with high reliability requirement. To protect data integrity, hard-decision error correction codes (ECC) such as Bose-Chaudhuri-Hocquenghem (BCH) are employed. However, the hardware cost becomes prohibitively with the increase of BER when the BCH ECC is employed to extend system lifetime. To extend system lifespan without high hardware cost, we has proposed data pattern aware (DPA) error prevention system design. DPA realizes BER reduction by minimizing the occurrence of data patterns vulnerable to high BER with simple linear feedback shift register circuits. Experimental results show that DPA can increase the system lifetime by up to 4× with marginal hardware cost. With the technology node scaling down to 2Xnm, BER increases up to 0.01. Hard-decision ECCs and DPA are no longer applicable to guarantee data integrity due to either prohibitively high hardware cost or high storage overhead. Soft-decision ECC, such as lowdensity parity check (LDPC) code, has been introduced to provide more powerful error correction capability. However, LDPC code demands extra memory sensing operations, directly leading to long read latency. To reduce LDPC code induced read latency without adverse impact on system reliability, we has proposed FlexLevel NAND flash storage system design. The FlexLevel design reduces BER by broadening the noise margin via threshold voltage (Vth) level reduction. Under relatively low BER, no extra sensing level is required and therefore read performance can be improved. To balance Vth level reduction induced capacity loss and the read speedup, the FlexLevel design identifies the data with high LDPC overhead and only performs Vth reduction to these data. Experimental results show that compared with the best existing works, the proposed design achieves up to 11% read speedup with negligible capacity loss. Write amplification is a major cause to performance and endurance degradation of the NAND flash based storage system. In the object-based NAND flash device (ONFD), write amplification partially results from onode partial update and cascading update. Onode partial update only over-writes partial data of a NAND flash page and incurs unnecessary data migration of the un-updated data. Cascading update is update to object metadata in a cascading manner due to object data update or migration. Even through only several bytes in the object metadata are updated, one or more page has to be re-written, significantly degrading write performance. To minimize write operations incurred by onode partial update and cascading update, we has proposed a Data Migration Minimizing (DMM) device design. The DMM device incorporates 1) the multi-level garbage collection technique to minimize the unnecessary data migration of onode partial update and 2) the virtual B+ tree and diff cache to reduce the write operations incurred by cascading update. The experiment results demonstrate that the DMM device can offer up to 20% write reduction compared with the best state-of-art works

High-Density Solid-State Memory Devices and Technologies

This Special Issue aims to examine high-density solid-state memory devices and technologies from various standpoints in an attempt to foster their continuous success in the future. Considering that broadening of the range of applications will likely offer different types of solid-state memories their chance in the spotlight, the Special Issue is not focused on a specific storage solution but rather embraces all the most relevant solid-state memory devices and technologies currently on stage. Even the subjects dealt with in this Special Issue are widespread, ranging from process and design issues/innovations to the experimental and theoretical analysis of the operation and from the performance and reliability of memory devices and arrays to the exploitation of solid-state memories to pursue new computing paradigms

LDPC Soft Decoding with Improved Performance in 1X-2X MLC and TLC NAND Flash-Based Solid State Drives

The reliability of non-volatile NAND flash memories is reaching critical levels for traditional error detection and correction. Therefore, to ensure data trustworthiness in nowadays NAND flash-based Solid State Drives, it is essential to exploit powerful correction algorithms such as the Low Density Parity Check. However, the burdens of this approach materialize in a disk performance reduction. In this work a standard decoding approach is compared with an optimized solution exploiting hardware resources available in NAND flash chips. The simulation results on 2X, 1X and mid-1X MLC and TLC NAND flash-based Solid State Drives in terms of disk bandwidth, average latency, and Quality of Service favor the adoption of the presented solution in different host scenarios and realistic workloads. The proposed solution is particularly effective when high error correction interventions and read- or write-intensive workloads are considered.The reliability of non-volatile NAND flash memories is reaching critical levels for traditional error detection and correction. Therefore, to ensure data trustworthiness in nowadays NAND flash-based Solid State Drives, it is essential to exploit powerful correction algorithms such as the Low Density Parity Check. However, the burdens of this approach materialize in a disk performance reduction. In this work a standard decoding approach is compared with an optimized solution exploiting hardware resources available in NAND flash chips. The simulation results on 2X, 1X and mid-1X MLC and TLC NAND flash-based Solid State Drives in terms of disk bandwidth, average latency, and Quality of Service favor the adoption of the presented solution in different host scenarios and realistic workloads. The proposed solution is particularly effective when high error correction interventions and read- or write-intensive workloads are considered