Neil Agarwal

dblp:232/0904 · DBLP profile ↗
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5ranked-venue papers
3as first author
4since 2021 · last 2025
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 5 · 3 first-author · 4 since 2021
YearPublicationVenuePosition
2025 Mowgli: Passively Learned Rate Control for Real-Time Video
Neil Agarwal, Rui Pan 0003, Francis Y. Yan, Ravi Netravali
NSDI1
2023 Boggart: Towards General-Purpose Acceleration of Retrospective Video Analytics
Neil Agarwal, Ravi Netravali
NSDI1
2023 Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan, Neil Agarwal, Anand Padmanabha Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
NSDI2
2022 Privid: Practical, Privacy-Preserving Video Analytics Queries
Frank Cangialosi, Neil Agarwal, Venkat Arun, Junchen Jiang, Srinivas Narayana, Anand D. Sarwate, Ravi Netravali
NSDI2
2020 Mind the delay: the adverse effects of delay-based TCP on HTTP
abstract
The last three decades have seen much evolution in web and network protocols: amongst them, a transition from HTTP/1.1 to HTTP/2 and a shift from loss-based to delay-based TCP congestion control algorithms. This paper argues that these two trends come at odds with one another, ultimately hurting web performance. Using a controlled synthetic study, we show how delay-based congestion control protocols (e.g., BBR and CUBIC + Hybrid Slow Start) result in the underestimation of the available congestion window in mobile networks, and how that dramatically hampers the effectiveness of HTTP/2. To quantify the impact of such finding in the current web, we evolve the web performance toolbox in two ways. First, we develop Igor, a client-side TCP congestion control detection tool that can differentiate between loss-based and delay-based algorithms by focusing on their behavior during slow start. Second, we develop a Chromium patch which allows fine-grained control on the HTTP version to be used per domain. Using these new web performance tools, we analyze over 300 real websites and find that 67% of sites relying solely on delay-based congestion control algorithms have better performance with HTTP/1.1.
Neil Agarwal, Matteo Varvello, Andrius Aucinas, Fabián E. Bustamante, Ravi Netravali
CoNEXT1