Workshops
The 3rd International Workshop on Network Intelligence (NI 2020): Learning and Optimizing Future Networks
Opening
Opening Session
To Be Determined
Session Chair
Laura Galluccio & Giovanni Schembra
Session 1: Networking Aspects
Towards In-Band Telemetry for Self Driving Wireless Networks
Prabhu Janakaraj; Pinyarash Pinyoanuntapong; Pu Wang; Minwoo Lee (University of North Carolina, Charlotte, USA)
End-to-end Delay Prediction Based on Traffic Matrix Sampling
Filip Krasniqi (Politecnico di Milano, Italy); Jocelyne Elias (Paris Descartes Univerisyt & Sorbonne Paris Citè, France); Jeremie Leguay (Huawei technologies, France); Alessandro E. C. Redondi (Politecnico di Milano, Italy)
A Novel Methodology for the Automated Detection and Classification of Networking Anomalies
Mohamed Moulay (IMDEA Networks, Spain); Rafael García (IMDEA Networks, Spain); Pablo Rojo (Nokia, Spain); Javier Lazaro (Nokia, Spain); Vincenzo Mancuso (IMDEA Networks, Spain); Antonio Fernández Anta (IMDEA Networks, Spain)
WiNetSense: Sensing and Analysis Model for Large-scale Wireless Networks
Nikita Trivedi; Bighnaraj Panigrahi; Hemant Kumar Rath (Tata Consultancy Services, Pvt Ltd., India)
Session Chair
Laura Galluccio
Keynote
Reinforcement Learning for Telecommunication Network: from Opportunistic Spectrum Access to IoTs
Raphaël Féraud (Orange Labs)
Biography
Raphaël Féraud has obtained is PhD in 1997 at University of Rennes I. During his PhD, he has worked on Neural Networks applied to Face Detection in images and video. Then at France-Télécom R&D, he has worked on different application of Neural Networks for Telecommunication including churn, profiling, fraud detection, resources allocation in ATM networks. As a project leader he has lead several projects on data mining and Big Data at Orange Labs with applications on marketing optimization and Ad targeting. Then as researcher at Orange Labs, he worked on reinforcement learning and in particular on bandit algorithms. His research on contextual bandits, non-stationary bandits and multi-player bandits are applied for optimizing communication in IoT networks.
Session Chair
Imen Grida Ben Yahia, Orange Labs, France
Session 2: Resource Management Aspects
Large-Scale and Rapid Flow Size Estimation for Improving Flow Scheduling
Su Wang; Shuo Wang; Dong Zhou; Yiran Yang; Wenjie Zhang; Tao Huang; Ru Huo; Yunjie Liu (Beijing University of Posts and Telecommunications, China)
Glide and Zap Q-Learning
Xiaofan He (Wuhan University, China); Richeng Jin (North Carolina State University, USA); Huaiyu Dai ((North Carolina State University, USA)
When Less is More: Core-Restricted Container Provisioning for Serverless Computing
Gaetano Somma (Università di Napoli, Federico II, Italy); Constantine Ayimba (IMDEA Networks, Spain); Paolo Casari (University of Trento, Italy); Simon Pietro Romano (Università di Napoli, Federico II, Italy); Vincenzo Mancuso (IMDEA Networks, Spain)
Removing human players from the loop: AI-assisted assessment of Gaming QoE
German Sviridov (Politecnico di Torino, Italy); Cedric Beliard (Huawei Technologies, France); Andrea Bianco (Politecnico di Torino, Italy); Paolo Giaccone (Politecnico di Torino, Italy); Dario Rossi (Telecom ParisTech, France)
Session Chair
Giovanni Schembra
Closing
Closing Remarks
To Be Determined
Session Chair
Laura Galluccio & Giovanni Schembra
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