BPLRU: a buffer management scheme for improving random writes in flash storage
FAST'08 Proceedings of the 6th USENIX Conference on File and Storage Technologies
Write off-loading: Practical power management for enterprise storage
ACM Transactions on Storage (TOS)
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
Performance Trade-Offs in Using NVRAM Write Buffer for Flash Memory-Based Storage Devices
IEEE Transactions on Computers
Demand-based block-level address mapping in large-scale NAND flash storage systems
CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
An adaptive partitioning scheme for DRAM-based cache in Solid State Drives
MSST '10 Proceedings of the 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST)
RTAS '11 Proceedings of the 2011 17th IEEE Real-Time and Embedded Technology and Applications Symposium
Plugging versus logging: a new approach to write buffer management for solid-state disks
Proceedings of the 48th Design Automation Conference
Joint management of RAM and flash memory with access pattern considerations
Proceedings of the 49th Annual Design Automation Conference
A space-efficient flash translation layer for CompactFlash systems
IEEE Transactions on Consumer Electronics
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
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NAND flash memory is widely used for secondary storage today. The flash translation layer (FTL) is the embedded software that is responsible for managing and operating in flash storage system. One important module of the FTL performs RAM management. It is well-known to have a significant impact on flash storage system's performance. This paper proposes an efficient RAM management scheme called TreeFTL. As the name suggests, TreeFTL organizes address translation pages and data pages in RAM in a tree structure, through which it dynamically adapts to workloads by adjusting the partitions for address mapping and data buffering. TreeFTL also employs a lightweight mechanism to implement the least recently used (LRU) algorithm for RAM cache evictions. Experiments show that compared to the two latest schemes for RAM management in flash storage system, TreeFTL can reduce service time by 46.6% and 49.0% on average, respectively, with a 64MB RAM cache.