Microservices performance forecast using dynamic Multiple Predictor Systems

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Cite
Santos, Wellison R.M., et al. “Microservices Performance Forecast Using Dynamic Multiple Predictor Systems”. Engineering Applications of Artificial Intelligence, vol. 129, 2024, p. 107649, https://doi.org/10.1016/j.engappai.2023.107649.
Santos, W. R., Sampaio Jr., A. R., Rosa, N. S., & Cavalcanti, G. D. (2024). Microservices performance forecast using dynamic Multiple Predictor Systems. Engineering Applications of Artificial Intelligence, 129, 107649. https://doi.org/10.1016/j.engappai.2023.107649
Santos WR, Sampaio Jr. AR, Rosa NS, Cavalcanti GD. Microservices performance forecast using dynamic Multiple Predictor Systems. Engineering Applications of Artificial Intelligence. 2024;129:107649.
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Machine learning-based scaling management for kubernetes edge clusters 2021
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  • Technology: Manufactures: Production management. Operations management
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2021