A low-cost adaptive data separation method for the Flash Translation Layer of solid state drives

Wei Xie, Yong Chen, Philip C. Roth

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

2 Scopus citations

Abstract

Solid state drives (SSDs) have shown great potential for data-intensive computing due to their much higher through-put and lower energy consumption compared to traditional hard disk drives. Within an SSD, its Flash Translation Layer (FTL) is responsible for exposing the SSD's ash memory storage to the computer system as a simple block device. The FTL design is one of the dominant factors determining an SSD's lifespan and the amount of performance degradation. To deliver better performance, we propose a new, low-cost, adaptive separation-aware ash translation layer (ASA-FTL) that combines data clustering and selective caching of recency information to accurately identify and separate hot/cold data while incurring minimal over-head. Using simulations of ASA-FTL with real-world work-loads, we have shown that our proposed approach reduces the garbage collection overhead by up to 28% and the overall response time by 15% compared to one of the most advanced existing FTLs.

Original languageEnglish
Title of host publicationProceedings of DISCS 2015
Subtitle of host publicationThe 2015 International Workshop on Data-Intensive Scalable Computing Systems - Held in conjunction with SC 2015: The International Conference for High Performance Computing, Networking, Storage and Analysis
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450339933
DOIs
StatePublished - Nov 15 2015
EventInternational Workshop on Data-Intensive Scalable Computing Systems, DISCS 2015 - Austin, United States
Duration: Nov 15 2015 → …

Publication series

NameProceedings of DISCS 2015: The 2015 International Workshop on Data-Intensive Scalable Computing Systems - Held in conjunction with SC 2015: The International Conference for High Performance Computing, Networking, Storage and Analysis

Conference

ConferenceInternational Workshop on Data-Intensive Scalable Computing Systems, DISCS 2015
Country/TerritoryUnited States
CityAustin
Period11/15/15 → …

Funding

This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research. This research is supported by the National Science Foundation under grant CNS-1162488 and CNS-1338078.

FundersFunder number
National Science FoundationCNS-1338078, CNS-1162488
U.S. Department of Energy
Office of Science
Advanced Scientific Computing Research

    Keywords

    • Data separation
    • Flash translation layer
    • Storage system

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