An adaptive separation-aware FTL for improving the efficiency of garbage collection in SSDs

Wei Xie, Yong Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2014
PublisherIEEE Computer Society
Pages552-553
Number of pages2
ISBN (Print)9781479927838
DOIs
StatePublished - 2014
Event14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2014 - Chicago, IL, United States
Duration: May 26 2014May 29 2014

Publication series

NameProceedings - 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2014

Conference

Conference14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2014
CountryUnited States
CityChicago, IL
Period05/26/1405/29/14

Keywords

  • SSD
  • flash memory
  • hot data identification
  • hot/cold separation

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