Using data clustering to improve cleaning performance for plash memory
Software—Practice & Experience
A New Flash Memory Management for Flash Storage System
COMPSAC '99 23rd International Computer Software and Applications Conference
A superblock-based flash translation layer for NAND flash memory
EMSOFT '06 Proceedings of the 6th ACM & IEEE International conference on Embedded software
A flash-memory based file system
TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings
A space-efficient flash translation layer for CompactFlash systems
IEEE Transactions on Consumer Electronics
Gordon: using flash memory to build fast, power-efficient clusters for data-intensive applications
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
FRA: a flash-aware redundancy array of flash storage devices
CODES+ISSS '09 Proceedings of the 7th IEEE/ACM international conference on Hardware/software codesign and system synthesis
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Characterizing flash memory: anomalies, observations, and applications
Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture
Superblock FTL: A superblock-based flash translation layer with a hybrid address translation scheme
ACM Transactions on Embedded Computing Systems (TECS)
Leveraging value locality in optimizing NAND flash-based SSDs
FAST'11 Proceedings of the 9th USENIX conference on File and stroage technologies
A low-cost wear-leveling algorithm for block-mapping solid-state disks
Proceedings of the 2011 SIGPLAN/SIGBED conference on Languages, compilers and tools for embedded systems
ShiftFlash: Make flash-based storage more resilient and robust
Performance Evaluation
De-indirection for flash-based SSDs with nameless writes
FAST'12 Proceedings of the 10th USENIX conference on File and Storage Technologies
Lifetime management of flash-based SSDs using recovery-aware dynamic throttling
FAST'12 Proceedings of the 10th USENIX conference on File and Storage Technologies
Hot-LSNs distributing wear-leveling algorithm for flash memory
ACM Transactions on Embedded Computing Systems (TECS) - Special section on ESTIMedia'12, LCTES'11, rigorous embedded systems design, and multiprocessor system-on-chip for cyber-physical systems
Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems
A space reuse strategy for flash translation layers in SLC NAND flash memory storage systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Modern flash technologies: a flash translation layer perspective
International Journal of High Performance Systems Architecture
An adaptive, low-cost wear-leveling algorithm for multichannel solid-state disks
ACM Transactions on Embedded Computing Systems (TECS)
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Although NAND flash memory has become one of the most popular storage media for portable devices, it has a serious problem with respect to lifetime. Each block of NAND flash memory has a limited number of program/erase cycles, usually 10,000-100,000, and data in a block become unreliable after the limit. For this reason, distributing erase operations evenly across the whole flash memory media is an important concern in designing flash memory storage systems.In this paper, we propose a memory-efficient group-based wear-leveling algorithm. Our group-based algorithm achieves a small memory footprint by grouping several logically sequential blocks and managing only the summary information for each group. We also propose an effective group summary structure and a method to reduce unnecessary wear-leveling operations in order to enhance the wear-leveling performance. The evaluation results show that our group-based algorithm consumes only 8.75% of memory space compared to the previous scheme that manages per-block information, while showing roughly the same wear-leveling performance.