The design and implementation of a log-structured file system
ACM Transactions on Computer Systems (TOCS)
A fast start-up technique for flash memory based computing systems
Proceedings of the 2005 ACM symposium on Applied computing
ACM Transactions on Storage (TOS)
An adaptive two-level management for the flash translation layer in embedded systems
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
A Re-configurable FTL (Flash Translation Layer) Architecture for NAND Flash based Applications
RSP '07 Proceedings of the 18th IEEE/IFIP International Workshop on Rapid System Prototyping
FAST: an efficient flash translation layer for flash memory
EUC'06 Proceedings of the 2006 international conference on Emerging Directions in Embedded and Ubiquitous Computing
A space-efficient flash translation layer for CompactFlash systems
IEEE Transactions on Consumer Electronics
A self-adjusting flash translation layer for resource-limited embedded systems
ACM Transactions on Embedded Computing Systems (TECS)
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
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The capacity of flash-memory storage systems grows at a speed similar to many other storage systems. In order to properly manage the product cost, vendors face serious challenges in system designs. How to provide an expected system initialization time for huge-capacity flash-memory storage systems has become an important research topic. In this paper, a time-predictable system initialization design is proposed for huge-capacity flash-memory storage systems. The objective of the design is to provide an expected system initialization time based on a coarse-grained flash translation layer. The time-predictable analysis of the design is provided to discuss the relation between the size of main memory and the system initialization time. The system initialization time can be also estimated and predicted by the time-predictable analysis.