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Emilio Incerto

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2020 – today

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2024
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Francesca Randone, Luca Bortolussi, Emilio Incerto, Mirco Tribastone:
Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures. Proc. ACM Program. Lang. 8(POPL): 1882-1912 (2024)
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Giovanni Quattrocchi, Emilio Incerto, Riccardo Pinciroli, Catia Trubiani, Luciano Baresi:
Autoscaling Solutions for Cloud Applications Under Dynamic Workloads. IEEE Trans. Serv. Comput. 17(3): 804-820 (2024)
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Emilio Incerto, Catia Trubiani:
Flocks of Birds: A Quantitative Evaluation. ISoLA (1) 2024: 271-286
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Emilio Incerto, Marin Litoiu, Daniele Masti:
AIPerf'24: 2nd International Workshop on Artificial Intelligence for Performance Modeling, Prediction, and Control. ICPE (Companion) 2024: 93
2023
[c15]
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  - conf/IEEEcloud/GarbiIT23
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Giulio Garbi, Emilio Incerto, Mirco Tribastone:
μP: A Development Framework for Predicting Performance of Microservices by Design. CLOUD 2023: 178-188
[c14]
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Emilio Incerto, Roberto Pizziol, Mirco Tribastone:
μOpt: An Efficient Optimal Autoscaler for Microservice Applications. ACSOS 2023: 67-76
[c13]
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Emilio Incerto, Marin Litoiu, Riccardo Pinciroli:
ICPE'23 AIPerf Workshop Chairs' Welcome. ICPE (Companion) 2023: 133
[i2]
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Francesca Randone, Luca Bortolussi, Emilio Incerto, Mirco Tribastone:
Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures. CoRR abs/2311.08235 (2023)
2021
[c12]
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Emilio Incerto, Matteo Principe:
Reproducibility Report for the Paper: "Differentiable Agent-Based Simulation for Gradient-Guided Simulation-Based Optimization". SIGSIM-PADS 2021: 39-43
[c11]
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Emilio Incerto, Annalisa Napolitano, Mirco Tribastone:
Learning Queuing Networks via Linear Optimization. ICPE 2021: 51-60
2020
[c10]
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Emilio Incerto, Annalisa Napolitano, Mirco Tribastone:
Inferring Performance from Code: A Review. ISoLA (1) 2020: 307-322
[c9]
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Emilio Incerto, Annalisa Napolitano, Mirco Tribastone:
Statistical Learning of Markov Chains of Programs. MASCOTS 2020: 1-8
[c8]
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Giulio Garbi, Emilio Incerto, Mirco Tribastone:
Learning Queuing Networks by Recurrent Neural Networks. ICPE 2020: 56-66
[i1]
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  - journals/corr/abs-2002-10788
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Giulio Garbi, Emilio Incerto, Mirco Tribastone:
Learning Queuing Networks by Recurrent Neural Networks. CoRR abs/2002.10788 (2020)

2010 – 2019

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2019
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Emilio Incerto, Mirco Tribastone:
Model-based Performance Self-adaptation: A Tutorial. ICPE Companion 2019: 49-52
2018
[c6]
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Emilio Incerto, Mirco Tribastone, Catia Trubiani:
Combined Vertical and Horizontal Autoscaling Through Model Predictive Control. Euro-Par 2018: 147-159
[c5]
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Emilio Incerto, Annalisa Napolitano, Mirco Tribastone:
Moving Horizon Estimation of Service Demands in Queuing Networks. MASCOTS 2018: 348-354
2017
[c4]
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Emilio Incerto, Mirco Tribastone, Catia Trubiani:
Software performance self-adaptation through efficient model predictive control. ASE 2017: 485-496
[c3]
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Daniele Di Pompeo, Emilio Incerto, Vittoriano Muttillo, Luigi Pomante, Giacomo Valente:
An Efficient Performance-Driven Approach for HW/SW Co-Design. ICPE 2017: 323-326
2016
[c2]
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Emilio Incerto, Mirco Tribastone, Catia Trubiani:
Symbolic performance adaptation. SEAMS@ICSE 2016: 140-150
2015
[c1]
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Emilio Incerto, Mirco Tribastone, Catia Trubiani:
A proactive approach for runtime self-adaptation based on queueing network fluid analysis. QUDOS@SIGSOFT FSE 2015: 19-24

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