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PREFiguRE: An Analytic Framework for HDD Management

Authors:

Xenia Mountrouidou,

Evgenia SmirniAuthors Info & Claims

ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), Volume 1, Issue 3

Article No.: 10, Pages 1 - 27

https://doi.org/10.1145/2872331

Published: 07 May 2016 Publication History

Abstract

Low disk drive utilization suggests that placing the drive into a power saving mode during idle times may decrease power consumption. We present PREFiguRE, a robust framework that aims at harvesting future idle intervals for power savings while meeting strict quality constraints: first, it contains potential delays in serving IO requests that occur during power savings since the time to bring up the disk is not negligible, and second, it ensures that the power saving mechanism is triggered a few times only, such that the disk wear-out due to powering up and down does not compromise the disk’s lifetime. PREFiguRE is based on an analytic methodology that uses the histogram of idle times to determine schedules for power saving modes as a function of the preceding constraints. PREFiguRE facilitates analysis for the evaluation of the trade-offs between power savings and quality targets for the current workload. Extensive experimentation on a set of enterprise storage traces illustrates PREFiguRE’s effectiveness to consistently achieve high power savings without undermining disk reliability and performance.

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Cited By

Pinciroli RYang LAlter JSmirni E(2023)Lifespan and Failures of SSDs and HDDs: Similarities, Differences, and Prediction ModelsIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2021.313157120:1(256-272)Online publication date: 1-Jan-2023
https://doi.org/10.1109/TDSC.2021.3131571
Machida FHasebe KAbe HKato K(2022)Analysis of Optimal File Placement for Energy-Efficient File-Sharing Cloud Storage SystemIEEE Transactions on Sustainable Computing10.1109/TSUSC.2020.30372607:1(75-86)Online publication date: 1-Jan-2022
https://doi.org/10.1109/TSUSC.2020.3037260
(2022)BibliographyStorage Systems10.1016/B978-0-32-390796-5.00023-1(641-693)Online publication date: 2022
https://doi.org/10.1016/B978-0-32-390796-5.00023-1
Show More Cited By

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PREFiguRE: An Analytic Framework for HDD Management

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Published In

cover image ACM Transactions on Modeling and Performance Evaluation of Computing Systems

ACM Transactions on Modeling and Performance Evaluation of Computing Systems Volume 1, Issue 3

May 2016

110 pages

ISSN:2376-3639

EISSN:2376-3647

DOI:10.1145/2935322

Editors:
Don Towsley
University of Massachusetts--Amherst, USA
,
Carey Williamson
University of Calgary, Canada

Issue’s Table of Contents

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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 May 2016

Accepted: 01 December 2015

Revised: 01 November 2015

Received: 01 December 2014

Published in TOMPECS Volume 1, Issue 3

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Cited By

Pinciroli RYang LAlter JSmirni E(2023)Lifespan and Failures of SSDs and HDDs: Similarities, Differences, and Prediction ModelsIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2021.313157120:1(256-272)Online publication date: 1-Jan-2023
https://doi.org/10.1109/TDSC.2021.3131571
Machida FHasebe KAbe HKato K(2022)Analysis of Optimal File Placement for Energy-Efficient File-Sharing Cloud Storage SystemIEEE Transactions on Sustainable Computing10.1109/TSUSC.2020.30372607:1(75-86)Online publication date: 1-Jan-2022
https://doi.org/10.1109/TSUSC.2020.3037260
(2022)BibliographyStorage Systems10.1016/B978-0-32-390796-5.00023-1(641-693)Online publication date: 2022
https://doi.org/10.1016/B978-0-32-390796-5.00023-1
Thomasian A(2022)Saving power in disks, flash memories, and serversStorage Systems10.1016/B978-0-32-390796-5.00016-4(349-384)Online publication date: 2022
https://doi.org/10.1016/B978-0-32-390796-5.00016-4
Yan FSmirni E(2016)Workload interleaving with performance guarantees in data centersNOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium10.1109/NOMS.2016.7502934(967-972)Online publication date: Apr-2016
https://doi.org/10.1109/NOMS.2016.7502934

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