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Survey on Energy-Saving Technologies for Disk-Based Storage Systems

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Algorithms and Architectures for Parallel Processing (ICA3PP 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10393))

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Abstract

The explosive growth of data from various research fields has led to increasing requirement and serious energy consumption of data storage in big data era. As a component of a data center, the storage system consumes almost 27% of the total energy. Therefore, increasing attention has been drawn to the research on energy conservation. In this paper, existing energy-saving methods for disk drives are summarized, which include disk power management, cache management, workload skew and RAID configuration. We find that power management is the basic strategy widely used in other models. Workload skew is efficient for energy saving although it could cause response delay due to the load concentration. Multiple models based on RAID are also developed for energy conservation. In the end, this paper forecasts the development of energy-saving technologies and come to the conclusion that a co-design scheme of hardware and software is necessary for the application-oriented system.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (11573019, 61602336), the Joint Research Fund in Astronomy (U1531111) under cooperative agreement between the National Natural Science Foundation of China (NSFC) and Chinese Academy of Sciences (CAS).

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Authors and Affiliations

  1. School of Computer Science and Technology, Tianjin University, Tianjin, 300350, China

    Ce Yu, Jianmei Wang, Chao Sun, Xiaoxiao Lu, Jian Xiao & Jizhou Sun

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  1. Ce Yu
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  4. Xiaoxiao Lu
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  5. Jian Xiao
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Correspondence to Ce Yu .

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Editors and Affiliations

  1. Inria, Rennes, France

    Shadi Ibrahim

  2. University of Texas at San Antonio, San Antonio, Texas, USA

    Kim-Kwang Raymond Choo

  3. Aalto University, Espoo, Finland

    Zheng Yan

  4. University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

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Yu, C., Wang, J., Sun, C., Lu, X., Xiao, J., Sun, J. (2017). Survey on Energy-Saving Technologies for Disk-Based Storage Systems. In: Ibrahim, S., Choo, KK., Yan, Z., Pedrycz, W. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2017. Lecture Notes in Computer Science(), vol 10393. Springer, Cham. https://doi.org/10.1007/978-3-319-65482-9_64

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  • DOI: https://doi.org/10.1007/978-3-319-65482-9_64

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