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A Strategy to Improve the Efficiency of I/O Intensive Application in Cloud Computing Environment

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Abstract

I/O intensive application is one of the most popular cloud applications. However, few studies have focused on how to improve the processing efficiency of this specific type of application. Based on the previous studies on this kind of application, a package-based strategy is put forward. With this strategy, the files less than some threshold are packaged before the specific I/O operations. This can remarkably shorten the addressing and transmission time of these files and much improve the efficiency of I/O resources. To verify the strategy, we have done extensive experiments. The experimental results show the packaging strategy can efficiently improve the processing efficiency of I/O-intensive applications in cloud computing. This is beneficial for increasing the resource efficiency of cloud data centers.

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Acknowledgments

This work is supported by National Natural Science Foundation of China (61103054, 61572305), Science and technology innovation project from the Science and Technology Commission of Shanghai Municipality (14511101000). Prof. Qiu is supported by NSF 1457506.

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Authors and Affiliations

  1. Department of Control Science and Engineering, Tongji University, Tongji, Shanghai, China

    Lujin You

  2. Shanghai DragonNet Technology Co.,Ltd. Shanghai, Shanghai, China

    Lujin You

  3. School of Computer Engineering and Science, Shanghai University, Shanghai, China

    Junjie Peng

  4. College of Information Technology Shanghai Ocean University, Shanghai, China

    Ming Chen

  5. Department of Computer Science, Pace University, New York, USA

    Meikang Qiu

Authors
  1. Lujin You
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  2. Junjie Peng
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  3. Ming Chen
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  4. Meikang Qiu
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Corresponding author

Correspondence to Junjie Peng.

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You, L., Peng, J., Chen, M. et al. A Strategy to Improve the Efficiency of I/O Intensive Application in Cloud Computing Environment. J Sign Process Syst 86, 149–156 (2017). https://doi.org/10.1007/s11265-016-1103-z

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  • DOI: https://doi.org/10.1007/s11265-016-1103-z

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