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Energy conservation techniques for disk array-based servers

Published: 26 June 2004 Publication History

Abstract

In this paper, we study energy conservation techniques for disk array-based network servers. First, we introduce a new conservation technique, called Popular Data Concentration (PDC), that migrates frequently accessed data to a subset of the disks. The goal is to skew the load towards a few of the disks, so that others can be transitioned to low-power modes. Next, we introduce a user-level file server that takes advantage of PDC. In the context of this server, we compare PDC to the Massive Array of Idle Disks (MAID). Using a validated simulator, we evaluate these techniques for conventional and two-speed disks and a wide range of parameters. Our results for conventional disks show that PDC and MAID can only conserve energy when the load on the server is extremely low. When two-speed disks are used, both PDC and MAID can conserve significant energy with only a small fraction of delayed requests. Overall, we find that PDC achieves more consistent and robust energy savings than MAID.

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  • (2021)Energy efficiency in cloud computing data center: a survey on hardware technologiesCluster Computing10.1007/s10586-021-03431-zOnline publication date: 21-Oct-2021
  • (2020)Ultra-low latency SSDs' impact on overall energy efficiencyProceedings of the 12th USENIX Conference on Hot Topics in Storage and File Systems10.5555/3488733.3488735(2-2)Online publication date: 13-Jul-2020
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cover image ACM Conferences
ICS '04: Proceedings of the 18th annual international conference on Supercomputing
June 2004
360 pages
ISBN:1581138393
DOI:10.1145/1006209
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 26 June 2004

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Author Tags

  1. disk power
  2. energy conservation
  3. network servers

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Overall Acceptance Rate 629 of 2,180 submissions, 29%

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Cited By

View all
  • (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
  • (2021)Energy efficiency in cloud computing data center: a survey on hardware technologiesCluster Computing10.1007/s10586-021-03431-zOnline publication date: 21-Oct-2021
  • (2020)Ultra-low latency SSDs' impact on overall energy efficiencyProceedings of the 12th USENIX Conference on Hot Topics in Storage and File Systems10.5555/3488733.3488735(2-2)Online publication date: 13-Jul-2020
  • (2020)Energy Saving Strategy of Power System Cluster Based on Container Virtualization2020 Asia Energy and Electrical Engineering Symposium (AEEES)10.1109/AEEES48850.2020.9121491(351-355)Online publication date: May-2020
  • (2020)Multi-tier Power-Saving Method in Cloud Storage Systems for Content Sharing ServicesEconomics of Grids, Clouds, Systems, and Services10.1007/978-3-030-63058-4_13(142-154)Online publication date: 5-Dec-2020
  • (2019)ColdStore: A Storage System for Archival DataWireless Personal Communications10.1007/s11277-019-06989-5Online publication date: 11-Dec-2019
  • (2018)Minimizing Power Consumption in Video Servers by the Combined Use of Solid-State Disks and Multi-Speed DisksIEEE Access10.1109/ACCESS.2018.28322216(25737-25746)Online publication date: 2018
  • (2018)Modulo Based Data Placement Algorithm for Energy Consumption Optimization of MapReduce SystemJournal of Grid Computing10.1007/s10723-016-9370-216:3(409-424)Online publication date: 1-Sep-2018
  • (2018)Hybrid Storage SystemsInside Solid State Drives (SSDs)10.1007/978-981-13-0599-3_3(43-59)Online publication date: 12-Jul-2018
  • (2017)A reliable and energy-efficient storage system with erasure coding cacheFrontiers of Information Technology & Electronic Engineering10.1631/FITEE.160097218:9(1370-1384)Online publication date: 27-Oct-2017
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