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UID:702@lincs.fr
DTSTART;TZID=Europe/Paris:20220518T150000
DTEND;TZID=Europe/Paris:20220518T160000
DTSTAMP:20220704T160324Z
URL:https://www.lincs.fr/events/operationalizing-machine-learning-in-real-
 world-networks/
SUMMARY:Operationalizing machine learning in real world networks
DESCRIPTION:Applications of machine learning to networking\, from
 performance diagnosis to security\, have conventionally relied on models
 that are trained on offline packet traces\, without regard to the
 limitations of existing measurement systems nor the cost of gathering\,
 computing\, and storing the corresponding input features. As a result\,
 there remains a significant gap between the development of statistical
 models for network operations and their application and systemization in
 practice. In this talk\, we explore the challenges of operationalizing
 machine learning models in real world networks. First\, we develop new
 models to infer quality metrics (i.e.\, startup delay and resolution) for
 encrypted streaming video services and demonstrate the models are practical
 through a 16-month deployment in 66 homes. Building on the lessons
 learned\, we design and develop Traffic Refinery\, a new framework and
 system that enables a joint evaluation of both the conventional notions of
 machine learning performance (e.g.\, model accuracy) and the systems-level
 costs of different representations of network traffic. Traffic Refinery
 makes it possible to explore different representations for learning\,
 balancing systems costs related to feature extraction and model training
 against model accuracy.\n\n\nBio\nFrancesco Bronzino is an Assistant
 Professor (maitre de conference) at Université Savoie Mont Blanc. His
 research interests broadly focus on the Internet infrastructure and the
 services that populate it\, particularly studying how to leverage emergent
 technologies to engineer software systems designed to measure and improve
 network service performance. His work has been published papers in top-tier
 conferences in this area such as ACM Sigmetrics\, IEEE/ACM SEC\, and
 PAM.\nFrancesco received his Ph.D. in Electrical and Computer Engineering
 from WINLAB at Rutgers University\, working on the design of name based
 services for future Internet and mobile network architectures. Before
 joining Université Savoie Mont Blanc\, he was a Research Scientist at
 Nokia Bell Labs as well as Post-Doctoral research fellow at Inria Paris
 focusing on network systems for application quality monitoring and
 inference.\n
CATEGORIES:Seminars,Youtube
LOCATION:LINCS + Zoom\, 23 avenue d'Italie\, Paris\, 75013\, France
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TZID:Europe/Paris
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DTSTART:20220327T030000
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