Abstract

Flash-based solid state devices (SSDs) have been widely employed in consumer and enterprise storage systems. However, the increasing SSD capacity imposes great pressure on performing efficient logical to physical address translation in a page-level flash translation layer (FTL). Existing schemes usually employ a built-in RAM to store mapping information, called mapping cache , to speed up the address translation. Since only a fraction of the mapping table can be cached due to limited cache space, a large number of extra flash accesses are required for cache management and garbage collection, degrading the performance and lifetime of an SSD. In this paper, we first apply analytical models to investigate the key factors that incur extra flash accesses during address translation. Then, we propose a novel page-level FTL with an efficient translation page-level caching mechanism, named TPFTL , to minimize the extra flash accesses. TPFTL employs a two-level least recently used (LRU) list with space-efficient optimizations to organize cached mapping entries. Inspired by the models, we further design a workload-adaptive loading policy combined with an efficient replacement policy to increase the cache hit rate and reduce the writebacks of replaced dirty entries. Finally, we evaluate TPFTL using extensive trace-driven simulations. Our evaluation results show that compared to the state-of-the-art FTLs, TPFTL significantly reduces the extra operations caused by address translation, achieving reductions on system response time and write amplification by up to 27.1% and 32.2%, respectively.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.