activity
20192026
most citedInferring Streaming Video Quality from Encrypted Traffic: Practical Models and Deployment Experience

23 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

SCOUT: Semantic scene COverage via Uncertainty-guided Traversal

Junyu Mao, Sara Ayoubi, Vishnu D. Sharma +2

Robots that operate over extended periods should not merely visit space; they should progressively understand it. Yet most 3D scene graph pipelines treat perception as a post-proce…

cs.NI2023

LoLa: Low-Latency Realtime Video Conferencing over Multiple Cellular Carriers

Sara Ayoubi, Giulio Grassi, Giovanni Pau +2

LoLa is a novel multi-path system for video conferencing applications over cellular networks. It provides significant gains over single link solutions when the link quality over di…

cs.NI2020★ 20 cited

Traffic Refinery: Cost-Aware Data Representation for Machine Learning on Network Traffic

Francesco Bronzino, Paul Schmitt, Sara Ayoubi +3

Network management often relies on machine learning to make predictions about performance and security from network traffic. Often, the representation of the traffic is as importan…

cs.NI2020★ 1 cited

The Challenges of Trace-Driven Wi-Fi Emulation

Mohammad Imran Syed, Renata Teixeira, Sara Ayoubi +1

Wi-Fi link is unpredictable and it has never been easy to measure it perfectly; there is always bound to be some bias. As wireless becomes the medium of choice, it is useful to cap…

cs.NI2019★ 23 cited

Inferring Streaming Video Quality from Encrypted Traffic: Practical Models and Deployment Experience

Paul Schmitt, Francesco Bronzino, Sara Ayoubi +3

Inferring the quality of streaming video applications is important for Internet service providers, but the fact that most video streams are encrypted makes it difficult to do so. W…