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Self-adaptive resource allocation for cloud-based software services based on progressive QoS prediction model

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References

  1. Hummaida A R, Paton N W, Sakellariou R. Adaptation in cloud resource configuration: a survey. J Cloud Comput, 2016, 5: 7

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Acknowledgements

This work was supported by National Key R&D Program of China (Grant No. 2018YFB-1004800), National Natural Science Foundation of China (Grant No. 61725201), and Talent Program of Fujian Province for Distinguished Young Scholars in Higher Education.

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Authors and Affiliations

  1. College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350116, China

    Xing Chen, Junxin Lin & Haijiang Wang

  2. Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, 350116, China

    Xing Chen, Junxin Lin, Bing Lin & Haijiang Wang

  3. School of Software, Tsinghua University, Beijing, 100084, China

    Yun Ma

  4. College of Physics and Energy, Fujian Normal University, Fuzhou, 350117, China

    Bing Lin

  5. Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, 100871, China

    Gang Huang

Authors
  1. Xing Chen
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  2. Junxin Lin
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  3. Yun Ma
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  4. Bing Lin
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  5. Haijiang Wang
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  6. Gang Huang
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Corresponding author

Correspondence to Gang Huang.

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Chen, X., Lin, J., Ma, Y. et al. Self-adaptive resource allocation for cloud-based software services based on progressive QoS prediction model. Sci. China Inf. Sci. 62, 219101 (2019). https://doi.org/10.1007/s11432-018-9750-2

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  • DOI: https://doi.org/10.1007/s11432-018-9750-2

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