Traffic prediction
Predicting mobile-app traffic at packet level, with multitask deep learning and Markov models.
Tools & projects
People
Antonio PescapèFull Professor · Principal Investigator
Antonio MontieriTenure-Track Professor
Giuseppe AcetoAssociate Professor
Domenico CiuonzoAssociate Professor
Valerio PersicoAssociate Professor
Idio GuarinoAssistant Professor (Non-Tenure Track) - Alma Mater Studiorum University of Bologna
Alberto DainottiPhD - Now at Georgia Tech
Alfredo NascitaAssistant Professor (RTDA)
Francesco CerasuoloPostdoc
Walter de DonatoPhD - Now at NM2 Srl
Alessio BottaAssociate Professor
Publications
- Journal I. Guarino, G. Aceto, D. Ciuonzo, A. Montieri, V. Persico, A. Pescapè, “Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps”, IEEE Open Journal of the Communications Society, 2024. PDF
- Journal A. Nascita, G. Aceto, D. Ciuonzo, A. Montieri, V. Persico, A. Pescapè, “A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection”, IEEE Communications Surveys & Tutorials, 2024.
- Conference I. Guarino, G. Aceto, D. Ciuonzo, A. Montieri, V. Persico, A. Pescapè, “Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps Via Deep-Learning: A First Look at Explainability”, ICC 2023 - IEEE International Conference on Communications, 2023.
- Conference L. Pappone, F. Cerasuolo, V. Persico, D. Ciuonzo, A. Pescapè, F. Esposito, “Prediction of Mobile-App Network-Video-Traffic Aggregates using Multi-task Deep Learning”, 2022 IFIP Networking Conference (IFIP Networking), 2022.
- Journal A. Montieri, G. Bovenzi, G. Aceto, D. Ciuonzo, V. Persico, A. Pescapè, “Packet-level prediction of mobile-app traffic using multitask Deep Learning”, Computer Networks, 2021.
- Journal G. Aceto, G. Bovenzi, D. Ciuonzo, A. Montieri, V. Persico, A. Pescapè, “Characterization and Prediction of Mobile-App Traffic Using Markov Modeling”, IEEE Transactions on Network and Service Management, 2021.
- Conference I. Guarino, A. Nascita, G. Aceto, A. Pescapè, “Mobile Network Traffic Prediction Using High Order Markov Chains Trained At Multiple Granularity”, 2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI), 2021.
- Conference I. Guarino, G. Aceto, D. Ciuonzo, A. Montieri, V. Persico, A. Pescapè, “Characterizing and Modeling Traffic of Communication and Collaboration Apps Bloomed With COVID-19 Outbreak”, 2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI), 2021.
- Journal A. Pescapè, “Analysis of Prediction Techniques of Key Parameters in IP Networks”, 2011.
- Journal A. Dainotti, A. Pescapè, P. S. Rossi, F. Palmieri, G. Ventre, “Internet traffic modeling by means of Hidden Markov Models”, Computer Networks, 2008. PDF
- Conference A. Dainotti, W. de Donato, A. Pescapè, P. S. Rossi, “Classification of Network Traffic via Packet-Level Hidden Markov Models”, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference, 2008.
- Conference V. Q. Bui, W. Zhu, A. Pescapè, A. Botta, “Long Horizon End-to-End Delay Forecasts: A Multi-Step-Ahead Hybrid Approach”, Proceedings - IEEE Symposium on Computers and Communications/IEEE Symposium on Computers and Communications, 2007. PDF
- Conference A. Dainotti, A. Pescapè, P. S. Rossi, G. Iannello, F. Palmier, G. Ventre, “QRP07-2: An HMM Approach to Internet Traffic Modeling”, Globecom, 2006.
- Conference A. Dainotti, A. Pescapè, G. Ventre, “A packet-level Traffic Model of Starcraft”, Second International Workshop on Hot Topics in Peer-to-Peer Systems, 2005. PDF