RNL: A Robust and Highly-Efficient Model for Time-Aware Web Service QoS Prediction
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4752-2_3
Reference27 articles.
1. Ghahramani, M.H., Zhou, M.C., Hon, C.T.: Toward cloud computing QoS architecture: analysis of cloud systems and cloud services. IEEE/CAA J. Automatica Sinica 4(1), 6–18 (2017)
2. Osypanka, P., Nawrocki, P.: QoS-aware Cloud Resource Prediction for Computing Services. IEEE Trans. Serv. Comput. (2022). https://doi.org/10.1109/TSC.2022.3164256
3. Tong, E., Niu, W., Liu, J.: A missing QoS prediction approach via time-aware collaborative Filtering. IEEE Trans. Serv. Comput. 15(6), 3115–3128 (2021)
4. Wu, H., Luo, X., Zhou, M.: Discovering hidden pattern in large-scale dynamically weighted directed network via latent factorization of tensors. In: Proceedings of IEEE 17th International Conference on Automation Science and Engineering, pp. 1533–1538 (2021)
5. Jia, Z., Li, J., Zhang, Y., et al.: Location-aware web service QoS prediction via deep collaborative filtering. IEEE Trans. Comput. Soc. Syst. (2022). https://doi.org/10.1109/TCSS.2022.3217277
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