Demo Data from EDBT 2026 / reviewers in the wild / expert
Rüdiger Rill
dblp:116/0642
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—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 |
Network optimization and economics · 90% Transport protocols and congestion control · 10% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network optimization and economics
pricing |
0.1 | 1 | 2012 | Demo: enabling mobile time-dependent pricing · MobiSys 2012 |
Network optimization and economics › pricing › dynamic pricing
time-dependent pricing |
0.1 | 1 | 2012 | Demo: enabling mobile time-dependent pricing · MobiSys 2012 |
Transport protocols and congestion control
congestion management |
0.0 | 1 | 2012 | Demo: enabling mobile time-dependent pricing · MobiSys 2012 |
Network optimization and economics › pricing
mobile data pricing |
0.0 | 1 | 2012 | Demo: enabling mobile time-dependent pricing · MobiSys 2012 |
Network optimization and economics › pricing
usage-based pricing |
0.0 | 1 | 2012 | Demo: enabling mobile time-dependent pricing · MobiSys 2012 |
Methods — techniques the papers use, named apart from their topics
feedback control loop · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Demo: enabling mobile time-dependent pricingabstractISPs around the world have begun to offer new pricing plans for wireless data, such as usage-based pricing in the U.S., to mitigate recent growth in bandwidth demand. Time Dependent Pricing (TDP) represents a next step in this direction [1, 2]. With TDP, ISPs can shift traffic to off-peak periods, thus reducing their cost, while consumers save money by choosing the time of usage. TDP uses a feedback control loop between an ISP and its users to account for users' responses to offered prices in optimizing the future prices. We have implemented such a TDP system and are presently conducting a user trial at Princeton while planning larger trials with commercial ISPs. This demo will introduce the audience to our system's ISP- and user-side features. On the ISP side, we show the current network congestion, while on the user side, we show device UIs displaying the offered prices, the device usage history, and automated scheduling of applications to keep users within a specified budget. Sangtae Ha, Soumya Sen 0004, Carlee Joe-Wong, Rüdiger Rill, Mung Chiang |
MobiSys | 4 |