Learning Queuing Networks by Recurrent Neural Networks-Reference-Cited by-同舟云学术

Learning Queuing Networks by Recurrent Neural Networks

Published:2020-04-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM/SPEC International Conference on Performance Engineering
language:
Short-container-title:

Author:

Garbi Giulio¹,Incerto Emilio¹,Tribastone Mirco¹

Affiliation:

1. IMT School for Advanced Studies Lucca, Lucca, Italy

Funder

MIUR

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3358960.3379134

Reference64 articles.

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2. Software Architecture Optimization Methods: A Systematic Literature Review

3. Davide Arcelli Vittorio Cortellessa Antonio Filieri and Alberto Leva. 2015.Control Theory for Model-based Performance-driven Software Adaptation. In QoSA. 11--20. https://doi.org/10.1145/2737182.2737187 Davide Arcelli Vittorio Cortellessa Antonio Filieri and Alberto Leva. 2015.Control Theory for Model-based Performance-driven Software Adaptation. In QoSA. 11--20. https://doi.org/10.1145/2737182.2737187

4. Uri M. Ascher and Linda R. Petzold. 1988. Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations. SIAM. Uri M. Ascher and Linda R. Petzold. 1988. Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations. SIAM.

5. Mahmoud Awad and Daniel A. Menasce. 2017. Deriving Parameters for Open and Closed QN Models of Operational Systems Through Black Box Optimization. In ICPE. Mahmoud Awad and Daniel A. Menasce. 2017. Deriving Parameters for Open and Closed QN Models of Operational Systems Through Black Box Optimization. In ICPE.

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