Automated Tiered Storage System Consisting of Memory and Flash Storage to Improve Response Time with Input-Output (IO) Concentration Workloads

Kazuichi Oe, Mitsuru Sato, Takeshi Nanri

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    The response time of solid state drives (SSDs) has dramatically reduced according to the spread of non-volatile memory express (NVMe) devices. These devices have response times of less than 100 micro seconds on average. The response time of all-flash-array systems has also drastically reduced through the use of NVMe SSDs. However, there are applications, particularly, virtual desktop infrastructure and in-memory database systems, that require storage systems with even shorter response time. Their workloads were found to contain many input-output (IO) concentrations. We define IO concentration by using a declarative style. Input-output (IO) concentrations are aggregations of IO accesses. They appear in narrow regions of the storage volume and continue for periods of up to about an hour. These narrow regions occupy a few percent of the logical unit number capacity, include most IO accesses, and appear at unpredictable logical block addresses. To drastically reduce the response time of these workloads, we developed automated tiered storage system called 'automated tiered storage with fast memory and slow flash storage' (ATSMF). The memory component of ATSMF is a memory with a non-volatile feature. The system predicts the remaining duration of IO concentration, calculates the response-time increase during migration and response-time decrease after migration, and migrates the IO concentrations if the response-time decrease after migration surpasses the response-time increase during migration. Experimental results indicate that ATSMF is at least 20% faster than flash storage only and its memory access ratio is more than 50%.

    Original languageEnglish
    Title of host publicationProceedings - 2017 5th International Symposium on Computing and Networking, CANDAR 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages311-317
    Number of pages7
    ISBN (Electronic)9781538620878
    DOIs
    Publication statusPublished - Apr 23 2018
    Event5th International Symposium on Computing and Networking, CANDAR 2017 - Aomori, Japan
    Duration: Nov 19 2017Nov 22 2017

    Publication series

    NameProceedings - 2017 5th International Symposium on Computing and Networking, CANDAR 2017
    Volume2018-January

    Other

    Other5th International Symposium on Computing and Networking, CANDAR 2017
    Country/TerritoryJapan
    CityAomori
    Period11/19/1711/22/17

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Networks and Communications
    • Hardware and Architecture

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