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Poster: Towards reducing smartphone application delay through read/write isolation

Published: 02 June 2014 Publication History

Abstract

No abstract available.

References

[1]
Block layer. http://goo.gl/SwdLZ5, 2014.
[2]
Storebench download. http://goo.gl/ava9eV, 2014.
[3]
T. Yan, D. Chu, D. Ganesan, A. Kansal, and J. Liu. Fast app launching for mobile devices. In Proc. of ACM MobiSys, 2012.

Cited By

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  • (2020)Machine Learning Assisted OSP Approach for Improved QoS Performance on 3D Charge-Trap Based SSDsMachine Learning for Cyber Security10.1007/978-3-030-62463-7_9(86-99)Online publication date: 11-Nov-2020
  • (2020)Machine learning assisted OSP approach for improved QoS performance on 3D charge‐trap based SSDsInternational Journal of Intelligent Systems10.1002/int.22286Online publication date: 11-Sep-2020
  • (2015)Reducing Smartphone Application Delay through Read/Write IsolationProceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services10.1145/2742647.2742661(287-300)Online publication date: 18-May-2015
  • Show More Cited By

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  1. Poster: Towards reducing smartphone application delay through read/write isolation

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    Published In

    cover image ACM Conferences
    MobiSys '14: Proceedings of the 12th annual international conference on Mobile systems, applications, and services
    June 2014
    410 pages
    ISBN:9781450327930
    DOI:10.1145/2594368
    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.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 02 June 2014

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    Author Tags

    1. app launch
    2. i/o optimizations
    3. smartphone app delay

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    Acceptance Rates

    MobiSys '14 Paper Acceptance Rate 25 of 185 submissions, 14%;
    Overall Acceptance Rate 274 of 1,679 submissions, 16%

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    Cited By

    View all
    • (2020)Machine Learning Assisted OSP Approach for Improved QoS Performance on 3D Charge-Trap Based SSDsMachine Learning for Cyber Security10.1007/978-3-030-62463-7_9(86-99)Online publication date: 11-Nov-2020
    • (2020)Machine learning assisted OSP approach for improved QoS performance on 3D charge‐trap based SSDsInternational Journal of Intelligent Systems10.1002/int.22286Online publication date: 11-Sep-2020
    • (2015)Reducing Smartphone Application Delay through Read/Write IsolationProceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services10.1145/2742647.2742661(287-300)Online publication date: 18-May-2015
    • (2014)Improving smartphone responsiveness through I/O optimizationsProceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication10.1145/2638728.2638841(337-342)Online publication date: 13-Sep-2014
    • (2014)Smartphone application launch with smarter schedulingProceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication10.1145/2638728.2638763(131-134)Online publication date: 13-Sep-2014
    • (2014)Smartphone application delay optimizationsProceedings of the 2014 workshop on PhD forum10.1145/2611166.2611168(3-4)Online publication date: 11-Jun-2014
    • (2014)VideoProceedings of the 12th annual international conference on Mobile systems, applications, and services10.1145/2594368.2602431(389-389)Online publication date: 2-Jun-2014

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