Software—Practice & Experience
The design and implementation of a log-structured file system
ACM Transactions on Computer Systems (TOCS)
The logical disk: a new approach to improving file systems
SOSP '93 Proceedings of the fourteenth ACM symposium on Operating systems principles
Counting large numbers of events in small registers
Communications of the ACM
Transaction Support in Read Optimizied and Write Optimized File Systems
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
ELF: an efficient log-structured flash file system for micro sensor nodes
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Transactional file systems can be fast
Proceedings of the 11th workshop on ACM SIGOPS European workshop
An Efficient NAND Flash File System for Flash Memory Storage
IEEE Transactions on Computers
CFLRU: a replacement algorithm for flash memory
CASES '06 Proceedings of the 2006 international conference on Compilers, architecture and synthesis for embedded systems
Capsule: an energy-optimized object storage system for memory-constrained sensor devices
Proceedings of the 4th international conference on Embedded networked sensor systems
Efficient indexing data structures for flash-based sensor devices
ACM Transactions on Storage (TOS)
FlashDB: dynamic self-tuning database for NAND flash
Proceedings of the 6th international conference on Information processing in sensor networks
A design for high-performance flash disks
ACM SIGOPS Operating Systems Review - Systems work at Microsoft Research
Design of flash-based DBMS: an in-page logging approach
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
A flash-memory based file system
TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings
A log buffer-based flash translation layer using fully-associative sector translation
ACM Transactions on Embedded Computing Systems (TECS)
An efficient B-tree layer implementation for flash-memory storage systems
ACM Transactions on Embedded Computing Systems (TECS)
Competitive analysis of flash-memory algorithms
ESA'06 Proceedings of the 14th conference on Annual European Symposium - Volume 14
μ-tree: an ordered index structure for NAND flash memory
EMSOFT '07 Proceedings of the 7th ACM & IEEE international conference on Embedded software
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
A case for flash memory ssd in enterprise database applications
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Characterizing the performance of flash memory storage devices and its impact on algorithm design
WEA'08 Proceedings of the 7th international conference on Experimental algorithms
OSDI'08 Proceedings of the 8th USENIX conference on Operating systems design and implementation
A space-efficient flash translation layer for CompactFlash systems
IEEE Transactions on Consumer Electronics
Prototyping a high-performance low-cost solid-state disk
Proceedings of the 4th Annual International Conference on Systems and Storage
Block storage virtualization with commodity secure digital cards
VEE '12 Proceedings of the 8th ACM SIGPLAN/SIGOPS conference on Virtual Execution Environments
Extending SSD lifetime in database applications with page overwrites
Proceedings of the 6th International Systems and Storage Conference
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NANDFS is a flash file system that exposes a memory-performance tradeoff to system integrators. The file system can be configured to use a large amount of RAM, in which case it delivers excellent performance. In particular, when NANDFS is configured with the same amount of RAM that YAFFS2 uses, the performance of the two file systems is comparable (YAFFS2 is a file system that is widely used in embedded Linux and other embedded environments). But YAFFS2 and other state-of-the-art flash file systems allocate RAM dynamically and do not provide the system builder with a way to limit the amount ofmemory that they allocate. NANDFS, on the other hand, allows the system builder to configure it to use a specific amount of RAM. The performance of NANDFS degrades when the amount of RAM it uses shrinks, but the degradation is graceful, not catastrophic. NANDFS is able to provide this flexibility thanks to a novel data structure that combines a coarsegrained logical-to-physical mapping with a log-structured file system.