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Results: 11
Number of items: 11
  • Open Access
    Xin, R., Chen, P., Grosso, P., & Zhao, Z. (2024). A fine-grained robust performance diagnosis framework for run-time cloud applications. Future Generation Computer Systems, 155, 300-311. https://doi.org/10.1016/j.future.2024.02.014
  • Open Access
    Song, Y., Xin, R., Chen, P., Zhang, R., Chen, J., & Zhao, Z. (2024). Autonomous selection of the fault classification models for diagnosing microservice applications. Future Generation Computer Systems, 153, 326-339. https://doi.org/10.1016/j.future.2023.12.005
  • Open Access
    Xin, R., Liu, H., Chen, P., & Zhao, Z. (2023). Robust and accurate performance anomaly detection and prediction for cloud applications: a novel ensemble learning-based framework. Journal of Cloud Computing, 12, Article 7. https://doi.org/10.1186/s13677-022-00383-6
  • Open Access
    Liu, H., Chen, P., Ouyang, X., Gao, H., Yan, B., Grosso, P., & Zhao, Z. (2023). Robustness challenges in Reinforcement Learning based time-critical cloud resource scheduling: A Meta-Learning based solution. Future Generation Computer Systems, 146, 18-33. https://doi.org/10.1016/j.future.2023.03.029
  • Open Access
    Liu, H., Xin, R., Chen, P., Gao, H., Grosso, P., & Zhao, Z. (2023). Robust-PAC time-critical workflow offloading in edge-to-cloud continuum among heterogeneous resources. Journal of Cloud Computing, 12, Article 58. https://doi.org/10.1186/s13677-023-00434-6
  • Open Access
    Xin, R., Chen, P., & Zhao, Z. (2023). CausalRCA: Causal inference based precise fine-grained root cause localization for microservice applications. Journal of Systems and Software, 203, Article 111724. https://doi.org/10.1016/j.jss.2023.111724
  • Chen, P., Liu, H., Xin, R., Carval, T., Zhao, J., Xia, Y., & Zhao, Z. (2022). Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model. Computer Journal, 65(11), 2909-2925. https://doi.org/10.1093/comjnl/bxac085
  • Open Access
    Liu, H., Xin, R., Chen, P., & Zhao, Z. (2022). Multi-Objective Robust Workflow Offloading in Edge-to-Cloud Continuum. In C. A. Ardagna, N. Atukorala, R. Buyya, C. K. Chang, R. N. Chang, E. Damiani, G. B. Dasgupta, F. Gagliardi, C. Hagleitner, D. Milojicic, T. M. H. Trong, R. Ward, F. Xhafa, & J. Zhang (Eds.), 2022 IEEE 15th International Conference on Cloud Computing (IEEE CLOUD 2022): proceedings : hybrid conference, Barcelona, Spain, 11-15 July 2022 (pp. 469-478). IEEE Computer Society. https://doi.org/10.1109/CLOUD55607.2022.00070
  • Open Access
    Xin, R., Stallinga, S., Liu, H., Chen, P., & Zhao, Z. (2022). Provenance-enhanced Root Cause Analysis for Jupyter Notebooks. In 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing: UCC 2022 : Vancouver, Washington, USA, 6-9 December 2022 : proceedings (pp. 327-333). IEEE. https://doi.org/10.1109/UCC56403.2022.00058, https://doi.org/10.1109/UCC56403.2022.00058
  • Open Access
    Hoogenkamp, B., Farshidi, S., Xin, R., Shi, Z., Chen, P., & Zhao, Z. (2022). A Decentralized Service Control Framework for Decentralized Applications in Cloud Environments. In F. Montesi, G. A. Papadopoulos, & W. Zimmermann (Eds.), Service-Oriented and Cloud Computing: 9th IFIP WG 6.12 European Conference, ESOCC 2022, Wittenberg, Germany, March 22–24, 2022 : proceedings (pp. 65-73). (Lecture Notes in Computer Science; Vol. 13226). Springer. https://doi.org/10.1007/978-3-031-04718-3_4
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