Analysis of Energy Consumption of Deduplication in Storage Systems

Yizhou Yan; Wenjun Wu

doi:10.1109/CyberC.2015.75

Analysis of Energy Consumption of Deduplication in Storage Systems

Yizhou Yan
, Wenjun Wu

School of Artificial Intelligence(Institute of Artificial Intelligence)

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Energy efficiency of storage system is an important research topic as it largely affects the energy consumption of data centers. Although the technology of deduplication can save resources in storage systems, it cannot always achieve good energy efficiency. In this paper, we propose an energy consumption model for storage systems. In addition, an energy-aware backup strategy has been designed for backup tasks to achieve the balance of the process in terms of energy consumption and deduplication efficiency. To validate the model and the strategy, we introduce an energy-aware disk simulation framework and implement it by extending Disk Sim that is widely used for storage research.

Original language	English
Title of host publication	Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	295-301
Number of pages	7
ISBN (Electronic)	9781467391993
DOIs	https://doi.org/10.1109/CyberC.2015.75
State	Published - 26 Oct 2015
Event	7th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015 - Xi'an, China Duration: 17 Sep 2015 → 19 Sep 2015

Publication series

Name	Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015

Conference

Conference	7th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015
Country/Territory	China
City	Xi'an
Period	17/09/15 → 19/09/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Backup
Deduplication
Energy Consumption Model
Simulation

Access to Document

10.1109/CyberC.2015.75

Cite this

Yan, Y., & Wu, W. (2015). Analysis of Energy Consumption of Deduplication in Storage Systems. In Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015 (pp. 295-301). Article 7307830 (Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CyberC.2015.75

Yan, Yizhou ; Wu, Wenjun. / Analysis of Energy Consumption of Deduplication in Storage Systems. Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 295-301 (Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015).

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title = "Analysis of Energy Consumption of Deduplication in Storage Systems",

abstract = "Energy efficiency of storage system is an important research topic as it largely affects the energy consumption of data centers. Although the technology of deduplication can save resources in storage systems, it cannot always achieve good energy efficiency. In this paper, we propose an energy consumption model for storage systems. In addition, an energy-aware backup strategy has been designed for backup tasks to achieve the balance of the process in terms of energy consumption and deduplication efficiency. To validate the model and the strategy, we introduce an energy-aware disk simulation framework and implement it by extending Disk Sim that is widely used for storage research.",

keywords = "Backup, Deduplication, Energy Consumption Model, Simulation",

author = "Yizhou Yan and Wenjun Wu",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 7th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015 ; Conference date: 17-09-2015 Through 19-09-2015",

year = "2015",

month = oct,

day = "26",

doi = "10.1109/CyberC.2015.75",

language = "英语",

series = "Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015",

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booktitle = "Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015",

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}

Yan, Y & Wu, W 2015, Analysis of Energy Consumption of Deduplication in Storage Systems. in Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015., 7307830, Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 295-301, 7th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015, Xi'an, China, 17/09/15. https://doi.org/10.1109/CyberC.2015.75

Analysis of Energy Consumption of Deduplication in Storage Systems. / Yan, Yizhou; Wu, Wenjun.
Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 295-301 7307830 (Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Yan, Yizhou

AU - Wu, Wenjun

PY - 2015/10/26

Y1 - 2015/10/26

N2 - Energy efficiency of storage system is an important research topic as it largely affects the energy consumption of data centers. Although the technology of deduplication can save resources in storage systems, it cannot always achieve good energy efficiency. In this paper, we propose an energy consumption model for storage systems. In addition, an energy-aware backup strategy has been designed for backup tasks to achieve the balance of the process in terms of energy consumption and deduplication efficiency. To validate the model and the strategy, we introduce an energy-aware disk simulation framework and implement it by extending Disk Sim that is widely used for storage research.

AB - Energy efficiency of storage system is an important research topic as it largely affects the energy consumption of data centers. Although the technology of deduplication can save resources in storage systems, it cannot always achieve good energy efficiency. In this paper, we propose an energy consumption model for storage systems. In addition, an energy-aware backup strategy has been designed for backup tasks to achieve the balance of the process in terms of energy consumption and deduplication efficiency. To validate the model and the strategy, we introduce an energy-aware disk simulation framework and implement it by extending Disk Sim that is widely used for storage research.

KW - Backup

KW - Deduplication

KW - Energy Consumption Model

KW - Simulation

UR - https://www.scopus.com/pages/publications/84962540775

U2 - 10.1109/CyberC.2015.75

DO - 10.1109/CyberC.2015.75

M3 - 会议稿件

AN - SCOPUS:84962540775

T3 - Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015

SP - 295

EP - 301

BT - Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015

Y2 - 17 September 2015 through 19 September 2015

ER -

Yan Y, Wu W. Analysis of Energy Consumption of Deduplication in Storage Systems. In Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 295-301. 7307830. (Proceedings - 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2015). doi: 10.1109/CyberC.2015.75

Analysis of Energy Consumption of Deduplication in Storage Systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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