SubsidieMeestersSolving the ‘last-mile delivery challenge’ for quality Over-The-Top (OTT) streaming content
The project aims to enhance QoE for adaptive video streaming and conferencing using online machine learning and Performance-oriented Congestion Control to optimize transmission rates and overcome network congestion.
Projectdetails
Introduction
We leverage online machine learning and next-generation congestion control to maximize Quality of Experience (QoE) for adaptive video streaming and video conferencing.
Technology Overview
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.
Performance-oriented Congestion Control (PCC)
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).
Advantages of PCC
Unlike TCP, PCC changes transmission rates in line with predicted effects on performance and specific application needs - at a granularity of 10s of milliseconds.
Machine Learning Optimization
Rate selection is optimized by machine learning, enabling us to swiftly overcome network congestion within the critical 'last mile' of data delivery.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.489.148 |
| Totale projectbegroting | € 3.572.425 |
Tijdlijn
| Startdatum | 1-5-2022 |
| Einddatum | 30-9-2024 |
| Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- COMPIRA LABS LTDpenvoerder
Land(en)
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