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Emilio Incerto
Emilio Incerto
IMT School For Advanced Studies Lucca
Dirección de correo verificada de imtlucca.it
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Software performance self-adaptation through efficient model predictive control
E Incerto, M Tribastone, C Trubiani
2017 32nd IEEE/ACM International Conference on Automated Software …, 2017
462017
Combined vertical and horizontal autoscaling through model predictive control
E Incerto, M Tribastone, C Trubiani
Euro-Par 2018: Parallel Processing: 24th International Conference on …, 2018
212018
Symbolic performance adaptation
E Incerto, M Tribastone, C Trubiani
Proceedings of the 11th International Symposium on Software Engineering for …, 2016
202016
Learning queuing networks by recurrent neural networks
G Garbi, E Incerto, M Tribastone
Proceedings of the ACM/SPEC International Conference on Performance …, 2020
192020
Moving horizon estimation of service demands in queuing networks
E Incerto, A Napolitano, M Tribastone
2018 IEEE 26th International Symposium on Modeling, Analysis, and Simulation …, 2018
122018
An Efficient Performance-Driven Approach for HW/SW Co-Design
D Di Pompeo, E Incerto, V Muttillo, L Pomante, G Valenete
Proceedings of the 8th ACM/SPEC on International Conference on Performance …, 2017
102017
Learning queuing networks via linear optimization
E Incerto, A Napolitano, M Tribastone
Proceedings of the ACM/SPEC International Conference on Performance …, 2021
72021
A proactive approach for runtime self-adaptation based on queueing network fluid analysis
E Incerto, M Tribastone, C Trubiani
Proceedings of the 1st International Workshop on Quality-Aware DevOps, 19-24, 2015
72015
A model-driven approach for the development of an ide for spacecraft on-board software
L Pomante, S Candia, E Incerto
2015 IEEE Aerospace Conference, 1-17, 2015
72015
Inferring performance from code: a review
E Incerto, A Napolitano, M Tribastone
International Symposium on Leveraging Applications of Formal Methods, 307-322, 2020
42020
μP: A Development Framework for Predicting Performance of Microservices by Design
G Garbi, E Incerto, M Tribastone
2023 IEEE 16th International Conference on Cloud Computing (CLOUD), 178-188, 2023
32023
Model-based performance self-adaptation: A tutorial
E Incerto, M Tribastone
Companion of the 2019 ACM/SPEC International Conference on Performance …, 2019
32019
HW/SW Co-Design of Heterogeneous Multiprocessor Dedicated Systems: a SystemC-based Environment
L Pomante, P Serri, E Incerto, J Volpe
Proc. 2nd World Congr. Multimed. Comput. Sci, 9-11, 2014
32014
Autoscaling Solutions for Cloud Applications under Dynamic Workloads
G Quattrocchi, E Incerto, R Pinciroli, C Trubiani, L Baresi
IEEE Transactions on Services Computing, 2024
22024
Statistical learning of markov chains of programs
E Incerto, A Napolitano, M Tribastone
2020 28th International Symposium on Modeling, Analysis, and Simulation of …, 2020
12020
AIPerf'24: 2nd International Workshop on Artificial Intelligence for Performance Modeling, Prediction, and Control
E Incerto, M Litoiu, D Masti
Companion of the 15th ACM/SPEC International Conference on Performance …, 2024
2024
Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures
F Randone, L Bortolussi, E Incerto, M Tribastone
Proceedings of the ACM on Programming Languages 8 (POPL), 1882-1912, 2024
2024
μOpt: An Efficient Optimal Autoscaler for Microservice Applications
E Incerto, R Pizziol, M Tribastone
2023 IEEE International Conference on Autonomic Computing and Self …, 2023
2023
ICPE'23 AIPerf Workshop Chairs' Welcome
E Incerto, M Litoiu, R Pinciroli
Companion of the 2023 ACM/SPEC International Conference on Performance …, 2023
2023
Node-level response time feedback loops to ease QoS control in “as a Service” architectures
A Leva, E Incerto
IFAC-PapersOnLine 56 (2), 3686-3691, 2023
2023
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