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2020 – today
- 2024
[j2]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)- [j1]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) - [c17]Emilio Incerto, Catia Trubiani:
Flocks of Birds: A Quantitative Evaluation. ISoLA (1) 2024: 271-286 - [c16]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]Giulio Garbi, Emilio Incerto, Mirco Tribastone:
μP: A Development Framework for Predicting Performance of Microservices by Design. CLOUD 2023: 178-188 - [c14]Emilio Incerto, Roberto Pizziol, Mirco Tribastone:
μOpt: An Efficient Optimal Autoscaler for Microservice Applications. ACSOS 2023: 67-76 - [c13]Emilio Incerto, Marin Litoiu, Riccardo Pinciroli:
ICPE'23 AIPerf Workshop Chairs' Welcome. ICPE (Companion) 2023: 133 - [i2]Francesca Randone, Luca Bortolussi, Emilio Incerto, Mirco Tribastone:
Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures. CoRR abs/2311.08235 (2023) - 2021
- [c12]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]Emilio Incerto, Annalisa Napolitano, Mirco Tribastone:
Learning Queuing Networks via Linear Optimization. ICPE 2021: 51-60 - 2020
- [c10]Emilio Incerto, Annalisa Napolitano, Mirco Tribastone:
Inferring Performance from Code: A Review. ISoLA (1) 2020: 307-322 - [c9]Emilio Incerto, Annalisa Napolitano, Mirco Tribastone:
Statistical Learning of Markov Chains of Programs. MASCOTS 2020: 1-8 - [c8]Giulio Garbi, Emilio Incerto, Mirco Tribastone:
Learning Queuing Networks by Recurrent Neural Networks. ICPE 2020: 56-66 - [i1]Giulio Garbi, Emilio Incerto, Mirco Tribastone:
Learning Queuing Networks by Recurrent Neural Networks. CoRR abs/2002.10788 (2020)
2010 – 2019
- 2019
- [c7]Emilio Incerto, Mirco Tribastone:
Model-based Performance Self-adaptation: A Tutorial. ICPE Companion 2019: 49-52 - 2018
- [c6]Emilio Incerto, Mirco Tribastone, Catia Trubiani:
Combined Vertical and Horizontal Autoscaling Through Model Predictive Control. Euro-Par 2018: 147-159 - [c5]Emilio Incerto, Annalisa Napolitano, Mirco Tribastone:
Moving Horizon Estimation of Service Demands in Queuing Networks. MASCOTS 2018: 348-354 - 2017
- [c4]Emilio Incerto, Mirco Tribastone, Catia Trubiani:
Software performance self-adaptation through efficient model predictive control. ASE 2017: 485-496 - [c3]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]Emilio Incerto, Mirco Tribastone, Catia Trubiani:
Symbolic performance adaptation. SEAMS@ICSE 2016: 140-150 - 2015
- [c1]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
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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