CODES+ISSS '11 Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Observational wear leveling: an efficient algorithm for flash memory management
Proceedings of the 49th Annual Design Automation Conference
Working-set-based address mapping for ultra-large-scaled flash devices
Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems
HEC: improving endurance of high performance flash-based cache devices
Proceedings of the 6th International Systems and Storage Conference
Proceedings of the 50th Annual Design Automation Conference
ACM Transactions on Embedded Computing Systems (TECS)
A DRAM-flash index for native flash file systems
Proceedings of the Ninth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis
Diversifying wear index for MLC NAND flash memory to extend the lifetime of SSDs
Proceedings of the Eleventh ACM International Conference on Embedded Software
Adaptive range-based address mapping for the flash storage devices with explosive capacity
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
A disturb-alleviation scheme for 3D flash memory
Proceedings of the International Conference on Computer-Aided Design
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NAND flash memory is fast replacing traditional magnetic storage media due to its better performance and low power requirements. However the endurance of flash memory is still a critical issue in using it for large scale enterprise applications. Rethinking the basic design of NAND flash memory is essential to realize its maximum potential in large scale storage. NAND flash memory is organized as blocks and blocks in turn have pages. A block can be erased reliably only for a limited number of times and frequent block erase operations to a few blocks reduce the lifetime of the flash memory. Wear leveling helps to prevent the early wear out of blocks in the flash memory. In order to achieve efficient wear leveling, data is moved around throughout the flash memory. The existing wear leveling algorithms do not scale for large scale NAND flash based SSDs. In this paper we propose a static wear leveling algorithm, named as Rejuvenator, for large scale NAND flash memory. Rejuvenator is adaptive to the changes in workloads and minimizes the cost of expensive data migrations. Our evaluation of Rejuvenator is based on detailed simulations with large scale enterprise workloads and synthetic micro benchmarks.