Using Analytical Models to Bootstrap Machine Learning Performance Predictors

Author:

Didona Diego,Romano Paolo

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Prediction of Cloud API Performance Using Uncertainty-Based Fusion of Predictive and Analytical Modeling;2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2023-12-17

2. Design of Light-Metal Alloys Using Machine Learning Techniques;Advances in Processing of Lightweight Metal Alloys and Composites;2022-11-19

3. Performance prediction of deep learning applications training in GPU as a service systems;Cluster Computing;2022-01-14

4. An overall statistical analysis of AI tools deployed in Cloud computing and networking systems;2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech);2020-11-24

5. Gray-Box Models for Performance Assessment of Spark Applications;Proceedings of the 9th International Conference on Cloud Computing and Services Science;2019

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