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Solving the ‘last-mile delivery challenge’ for quality Over-The-Top (OTT) stream...
Solving the ‘last-mile delivery challenge’ for quality Over-The-Top (OTT) streaming content We leverage online machine learning and next-generation congestion control to maximize Quality of Experience (QoE) for adaptive video streaming and video conferencing. Compatible with any HTTP-based application, our technology wil... We leverage online machine learning and next-generation congestion control to maximize Quality of Experience (QoE) for adaptive video streaming and video conferencing. Compatible with any HTTP-based application, our technology will significantly disrupt the Over-the-top (OTT) video market.Today, the dominant congestion control protocols (TCP and increasingly BBR) are one-size fits all and consequently fail to deliver good QoE. Our solution is based on something new: Performance-oriented Congestion Control (PCC), developed by Compira co-founder Prof. Michael Schapira and Prof. Brighten Godfrey from the University of Illinois at Urbana-Champaign (a key advisor). Unlike TCP, PCC changes transmission rates in line with predicted effect on performance and specific application needs - at a granularity of 10s of milliseconds. Rate selection is optimized by machine learning, enabling us to swiftly overcome network congestion within the critical 'last mile' of data delivery. ver más
30/09/2024
COMPIRA LABS LTD
4M€
Perfil tecnológico estimado
Duración del proyecto: 27 meses Fecha Inicio: 2022-06-22
Fecha Fin: 2024-09-30

Línea de financiación: concedida

El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-09-30
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
HORIZON-EIC-2021-ACCELERATORCHALLENGES-01-01: Strategic Digital and Health Technologies
Cerrada hace 2 años
Presupuesto El presupuesto total del proyecto asciende a 4M€
Líder del proyecto
COMPIRA LABS LTD No se ha especificado una descripción o un objeto social para esta compañía.