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Software-Defined Emulation Infrastructure for High Speed Storage

Published:06 June 2016Publication History

ABSTRACT

NVMe, being a new I/O communication protocol, suffers from a lack of tools to evaluate storage solutions built on the standard. In this paper, we provide the design and analysis of a comprehensive, fully customizable emulation infrastructure that builds on the NVMe protocol. It provides a number of knobs that allow system architects to quickly evaluate performance implications of a wide variety of storage solutions while natively executing workloads.

References

  1. K. T. Malladi et al. FAME: A Fast and Accurate Memory Emulator for New Memory System Architecture Exploration. In MASCOTS, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Q. Xu et al. Performance Analysis of NVMe SSDs and their Implication on Real World Databases. In SYSTOR, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Software-Defined Emulation Infrastructure for High Speed Storage

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          • Published in

            cover image ACM Conferences
            SYSTOR '16: Proceedings of the 9th ACM International on Systems and Storage Conference
            June 2016
            191 pages
            ISBN:9781450343817
            DOI:10.1145/2928275

            Copyright © 2016 Owner/Author

            Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 6 June 2016

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            Qualifiers

            • poster
            • Research
            • Refereed limited

            Acceptance Rates

            SYSTOR '16 Paper Acceptance Rate16of49submissions,33%Overall Acceptance Rate94of285submissions,33%

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