Solving the ‘last-mile delivery challenge’ for quality Over-The-Top (OTT) streaming contentbroad
FAST-STREAM · Horizon Europe grant · 2022-05-01–2024-09-30
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2021-ACCELERATORCHALLENGES-01 · scheme HORIZON-EIC-ACC-BF · topic HORIZON-EIC-2021-ACCELERATORCHALLENGES-01-01. CORDIS record →
Objective
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.
Beneficiaries (1)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| COMPIRA LABS LTD | IL | coordinator | €2,489,148 | Yes |
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