Title :
An Adaptive Separation-Aware FTL for Improving the Efficiency of Garbage Collection in SSDs
Author :
Wei Xie ; Yong Chen
Author_Institution :
Dept. of Comput. Sci., Texas Tech Univ., Lubbock, TX, USA
Abstract :
Hot/cold data separation in flash-based solid state drives has been considered important to the overall performance due to the costly garbage collection overhead. This work proposes a method that accurately and naturally identifies and separates hot/cold data while only incurs minimal overhead. The proposed method only requires minimal on-device RAM space. Simulation results have shown that the proposed ASA-FTL reduce the GC overhead by up to 33% and improve the overall response time by 9% against the most advanced existing FTL in both real workloads and synthetic workloads.
Keywords :
disc drives; disc storage; random-access storage; storage management; SSDs; adaptive separation-aware FTL; flash-based solid state drives; garbage collection efficiency; minimal on-device RAM space; Cloud computing; Grid computing; SSD; flash memory; hot data identification; hot/cold separation;
Conference_Titel :
Cluster, Cloud and Grid Computing (CCGrid), 2014 14th IEEE/ACM International Symposium on
Conference_Location :
Chicago, IL
DOI :
10.1109/CCGrid.2014.52