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\(\varvec{Q}ET\): a QoS-based energy-aware task scheduling method in cloud environment

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Abstract

Currently, energy consumption for cloud data centers has attracted much attention from both industry and academia. Meanwhile, it is also important to satisfy the customers’ quality of service (QoS) for cloud service providers. However, it is still a challenge to achieve energy savings based on QoS during task scheduling. In this paper, a QoS-based energy-aware task scheduling method, named QET, in cloud environment is proposed to address the above challenge. Technically, an energy consumption model based on QoS is proposed for heterogeneous cloud environment. And a corresponding task scheduling method is designed to minimize the energy consumption through QoS-aware PM selection. Comprehensive experimental analysis is conducted to evaluate the efficiency and effectiveness of our proposed method.

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Acknowledgements

This research is supported by the National Science Foundation of China under Grant Nos. 41275116 and 61672290. Besides, this work is also supported by The Startup Foundation for Introducing Talent of NUIST, the open project from State Key Laboratory for Novel Software Technology, Nanjing University under Grant No. KFKT2017B04, the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) fund, Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET), and the project “Six Talent Peaks Project in Jiangsu Province” under Grant No. XYDXXJS-040.

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Authors and Affiliations

  1. Jiangsu Engineering Center of Network Monitoring of Nanjing University of Information Science&Technology, Nanjing, 210044, China

    Shengjun Xue, Yiyun Zhang, Xiaolong Xu, Guowen Xing & Sai Ji

  2. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Shengjun Xue, Yiyun Zhang, Xiaolong Xu, Guowen Xing & Sai Ji

  3. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China

    Xiaolong Xu & Haolong Xiang

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  1. Shengjun Xue
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  2. Yiyun Zhang
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  3. Xiaolong Xu
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Correspondence to Xiaolong Xu.

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Xue, S., Zhang, Y., Xu, X. et al. \(\varvec{Q}ET\): a QoS-based energy-aware task scheduling method in cloud environment. Cluster Comput 20, 3199–3212 (2017). https://doi.org/10.1007/s10586-017-1047-5

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  • DOI: https://doi.org/10.1007/s10586-017-1047-5

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