Demo Data from SIGIR 2026 / reviewers in the wild / expert
Uma Devi
dblp:141/1998
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
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 |
Cellular and mobile networks · 44% Internet of things and sensor networks · 44% Network optimization and economics · 13% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cellular and mobile networks
mobile data management |
0.2 | 1 | 2013 | Async: De-congestion and yield management in cellular data networks · ICNP 2013 |
Internet of things and sensor networks › opportunistic networks
opportunistic content dissemination |
0.2 | 1 | 2013 | Async: De-congestion and yield management in cellular data networks · ICNP 2013 |
Network optimization and economics
pricing |
0.0 | 1 | 2013 | Async: De-congestion and yield management in cellular data networks · ICNP 2013 |
Methods — techniques the papers use, named apart from their topics
prototype implementation · 0.2android app · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Async: De-congestion and yield management in cellular data networksabstractIn this work, we demonstrate the design and implementation of a novel system called Async, which enables a mobile network operator (MNO) to efficiently manage the growth of mobile data. For this, we enable an opportunistic delivery model for the MNOs by leveraging the delay-elastic nature of certain applications such as video downloads, and the price-sensitive nature of certain users. Specifically, in Async, we enable an alternate content delivery paradigm that facilitates an MNO to control when, and at what price, the content is delivered to the users. In our system, users can select a price and expected delivery time (or EDT) option from a multitude of choices. We develop a prototype of such a system by extending Apache's mod_proxy module and by developing a service on the Android platform without requiring any modifications to existing network infrastructure or protocols. We demonstrate two applications using such a service: (1) download of large files, e.g., software updates, movie files, and (2) an educational App that downloads educational content on mobile devices. Vijay Gabale, Vinay Kolar, Uma Devi, Mukundan Madhavan, Ravi Kokku |
ICNP | 3 |