Advertisement

Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

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

This is a preview of subscription content, log in to check access.

References

  1. 1

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

  2. 2

    Chen X, Lin J X, Lin B, et al. Self-learning and self-adaptive resource allocation for cloud-based software services. Concurr Comput Pract Exper, 2018, 19: 4463

  3. 3

    Drwal M, Borzemski L. Prediction of web goodput using nonlinear autoregressive models. In: Proceedings of the 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, Cordoba, 2010. 347–356

Download references

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.

Author information

Correspondence to Gang Huang.

Electronic supplementary material

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

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

Download citation