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Cloud Tasks Scheduling Meeting with QoS

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Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 378))

Abstract

Meeting users’ Quality of Service (QoS) requirements is a key problem of tasks scheduling in cloud computing. A cloud tasks scheduling algorithm CTS_QoS based on maximal QoS satisfaction and minimal QoS distance between tasks and resources is presented in this paper. Under meeting maximal QoS satisfaction of user’s tasks, CTS_QoS can select the resources with minimal QoS distance to map. Experimental results show that though CTS_QoS cannot guarantee a high resource utilization, it can gain users’ QoS satisfaction maximization.

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Acknowledgments

The work was supported by Students’ Scientific Research Project of WHPU (xsky2015033) and Innovation Training Project of WHPU (CXXL201510024).

Author information

Authors and Affiliations

  1. School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, China

    Xinxing Li, Xiaoqing Zhang, Zixuan Wang, Hang Shang, Manli Huang & Zhejin Lu

  2. Department 4, Air Force Early Warning Academy, Wuhan, China

    Qiongfen Qian

Authors
  1. Xinxing Li
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  2. Xiaoqing Zhang
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  3. Qiongfen Qian
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  4. Zixuan Wang
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  5. Hang Shang
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  6. Manli Huang
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  7. Zhejin Lu
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Corresponding author

Correspondence to Xiaoqing Zhang .

Editor information

Editors and Affiliations

  1. Beijing Jiaotong University, Beijing, China

    Yong Qin

  2. Beijing Jiaotong University, Beijing, China

    Limin Jia

  3. CSR Zhuzhou Institute CO., LTD., Zhuzhou, China

    Jianghua Feng

  4. University of Birmingham, Birmingham, United Kingdom

    Min An

  5. Beijing Jiaotong University, Beijing, China

    Lijun Diao

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© 2016 Springer-Verlag Berlin Heidelberg

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Cite this paper

Li, X. et al. (2016). Cloud Tasks Scheduling Meeting with QoS. In: Qin, Y., Jia, L., Feng, J., An, M., Diao, L. (eds) Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation. Lecture Notes in Electrical Engineering, vol 378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49370-0_30

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  • DOI: https://doi.org/10.1007/978-3-662-49370-0_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49368-7

  • Online ISBN: 978-3-662-49370-0

  • eBook Packages: EnergyEnergy (R0)

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