HotDataTrap: a sampling-based hot data identification scheme for flash memory
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Investigating hybrid SSD FTL schemes for Hadoop workloads
Proceedings of the ACM International Conference on Computing Frontiers
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In this paper, we propose a Convertible Flash Translation Layer (CFTL) for NAND flash-based storage systems. CFTL is a novel hybrid flash translation layer adaptive to workloads so that it can dynamically switch its mapping scheme to either a page level mapping or a block level mapping scheme to fully exploit the benefits of them. Moreover, we propose an efficient caching strategy to further improve the CFTL performance. Consequently, both the convertible feature and the caching strategy empower CFTL to achieve good read performance as well as good write performance. Our experimental evaluation with various realistic workloads demonstrates that CFTL outweighs other FTL schemes. In particular, our new caching strategy remarkably improves cache hit ratios, by an average of 245%, and exhibits much higher hit ratios especially for randomly read intensive workloads.