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Sarah Tanveer

dblp:356/8123 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0007-6503-012XORCID · reported

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

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet architecture and protocols · 44% Network optimization and economics · 44% Cellular and mobile networks · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network optimization and economics
resource allocation
0.712023
A Framework for Improving Web Affordability and Inclusiveness · SIGCOMM 2023
Internet architecture and protocols › world wide web
web architecture
0.712023
A Framework for Improving Web Affordability and Inclusiveness · SIGCOMM 2023

Methods — techniques the papers use, named apart from their topics

optimization · 0.7
YearPublicationVenuePosition
2023 A Framework for Improving Web Affordability and Inclusiveness
abstract
Today's Web remains too expensive for many Internet users, especially in developing regions. Unfortunately, the rising complexity of the Web makes affordability an even bigger concern as it stands to limit users' access to Internet services. We propose a novel framework and a fairness metric for rethinking Web architecture for affordability and inclusion. Our proposed framework systematically adapts Web complexity based on geographic variations in mobile broadband prices and income levels. We conduct a cross-country analysis of 99 countries, showing that our framework can better balance affordability and webpage quality while preserving user privacy. To adapt Web complexity, our framework solves an optimization problem to produce webpages that maximize page quality while reducing the webpage to a given target size.
Rumaisa Habib, Sarah Tanveer, Aimen Inam, Haseeb Ahmed, Ayesha Ali, Zartash Afzal Uzmi, Zafar Ayyub Qazi, Ihsan Ayyub Qazi
SIGCOMM2