Emilio Incerto

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 19

Top Topics

Gaussian Mixture

Queuing Network

Workshop On Artificial Intelligence

Top Venues

ICPE (Companion)

Publications

Giovanni Quattrocchi, Emilio Incerto, Riccardo Pinciroli, Catia Trubiani, Luciano Baresi
Autoscaling Solutions for Cloud Applications Under Dynamic Workloads. IEEE Trans. Serv. Comput. 17 (3) (2024)
Emilio Incerto, Marin Litoiu, Daniele Masti
AIPerf'24: 2nd International Workshop on Artificial Intelligence for Performance Modeling, Prediction, and Control. ICPE (Companion) (2024)
Francesca Randone, Luca Bortolussi, Emilio Incerto, Mirco Tribastone
Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures. Proc. ACM Program. Lang. 8 (POPL) (2024)
Francesca Randone, Luca Bortolussi, Emilio Incerto, Mirco Tribastone
Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures. CoRR (2023)
Emilio Incerto, Roberto Pizziol, Mirco Tribastone
μOpt: An Efficient Optimal Autoscaler for Microservice Applications. ACSOS (2023)
Giulio Garbi, Emilio Incerto, Mirco Tribastone
μP: A Development Framework for Predicting Performance of Microservices by Design. CLOUD (2023)
Emilio Incerto, Marin Litoiu, Riccardo Pinciroli
ICPE'23 AIPerf Workshop Chairs' Welcome. ICPE (Companion) (2023)
Emilio Incerto, Matteo Principe
Reproducibility Report for the Paper: "Differentiable Agent-Based Simulation for Gradient-Guided Simulation-Based Optimization". SIGSIM-PADS (2021)
Emilio Incerto, Annalisa Napolitano, Mirco Tribastone
Learning Queuing Networks via Linear Optimization. ICPE (2021)
Emilio Incerto, Annalisa Napolitano, Mirco Tribastone
Inferring Performance from Code: A Review. ISoLA (1) (2020)
Giulio Garbi, Emilio Incerto, Mirco Tribastone
Learning Queuing Networks by Recurrent Neural Networks. ICPE (2020)
Emilio Incerto, Annalisa Napolitano, Mirco Tribastone
Statistical Learning of Markov Chains of Programs. MASCOTS (2020)
Giulio Garbi, Emilio Incerto, Mirco Tribastone
Learning Queuing Networks by Recurrent Neural Networks. CoRR (2020)
Emilio Incerto, Mirco Tribastone
Model-based Performance Self-adaptation: A Tutorial. ICPE Companion (2019)
Emilio Incerto, Annalisa Napolitano, Mirco Tribastone
Moving Horizon Estimation of Service Demands in Queuing Networks. MASCOTS (2018)
Emilio Incerto, Mirco Tribastone, Catia Trubiani
Combined Vertical and Horizontal Autoscaling Through Model Predictive Control. Euro-Par (2018)
Daniele Di Pompeo, Emilio Incerto, Vittoriano Muttillo, Luigi Pomante, Giacomo Valente
An Efficient Performance-Driven Approach for HW/SW Co-Design. ICPE (2017)
Emilio Incerto, Mirco Tribastone, Catia Trubiani
Software performance self-adaptation through efficient model predictive control. ASE (2017)
Emilio Incerto, Mirco Tribastone, Catia Trubiani
Symbolic performance adaptation. SEAMS@ICSE (2016)
Emilio Incerto, Mirco Tribastone, Catia Trubiani
A proactive approach for runtime self-adaptation based on queueing network fluid analysis. QUDOS@SIGSOFT FSE (2015)