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Venkat Arun

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  • NSDI2 editions2020–2023

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titleconferencedate
Syntra: Synthesizing Cross-Layer Controllers for Low-Latency Video StreamingNSDI '262026-05-04
A tool called Syntra synthesizes a cross-layer controller from a symbolic worst-case model and a declarative, lexicographic objective, using bounded-horizon…
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FRCC: Towards Provably Fair and Robust Congestion ControlNSDI '262026-05-04
Claims that FRCC provably bounds unfairness under jitter by encoding only link fraction (flow count) into congestion signals and separately probing capacity…
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Hairpin: Rethinking Packet Loss Recovery in Edge-based Interactive Video Streaming21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24)2024-04-16
Hairpin rethinks loss recovery for edge-based interactive video by choosing per-round mixes of original packets, retransmissions, and redundancy rather than a…
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Towards provably performant congestion control21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24)2024-04-16
Framework creates a belief set that exhaustively maps observed send/ACK time series to possible bottleneck bandwidth, buffer, and delay states, and uses…
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Enabling High-Quality Real-Time Communications with Adaptive Frame-RateNSDI 20232023-04-17
Adaptive Frame Rate (AFR) is a controller that coordinates frame rate with network fluctuation and decoder capacity to avoid transient decoder overloads…
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Privid: Practical, Privacy-Preserving Video Analytics Queries19th USENIX Symposium on Networked Systems Design and Implementation (NSDI '22)2022-04-04
Privid defines ρ,K,ε-event-duration privacy and enforces it by splitting video into chunks, running analyst-provided black-box neural nets per chunk, then…
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RFocus: Beamforming Using Thousands of Passive AntennasNSDI 20202020-02-25
Built a 2D wallpaper of 3,200 passive switch elements that either reflect or let signals pass and a controller that configures them by only using RSS…
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Copa: Practical Delay-Based Congestion Control for the InternetNSDI '182018-04-09
Algorithm sets target rate = 1/(δ · dq) and estimates dq by taking a minimum over a half-RTT window to remove positive noise, periodically emptying queues so…
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