Demo Data from EDBT 2026 / reviewers in the wild / expert
Earl Oliver
dblp:16/7541
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author
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 |
Transport protocols and congestion control · 44% Routing and switching · 44% Cellular and mobile networks · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Routing and switching › switching
shared memory switch |
0.1 | 1 | 2010 | Characterizing the transport behaviour of the short message service · MobiSys 2010 |
Transport protocols and congestion control
transport protocol design |
0.1 | 1 | 2010 | Characterizing the transport behaviour of the short message service · MobiSys 2010 |
Cellular and mobile networks
developing regions |
0.0 | 1 | 2010 | Characterizing the transport behaviour of the short message service · MobiSys 2010 |
Methods — techniques the papers use, named apart from their topics
protocol adaptation · 0.1measurement study · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Characterizing the transport behaviour of the short message serviceabstractWe build an efficient and reliable data transport protocol on top of the Short Message Service (SMS). We conduct a series of experiments to characterize SMS behaviour under bursty, unconventional workloads. This study examines how variables such as the transmission order, delay between transmissions, the network interface used, and the time-of-day affect the service. We present the design and implementation of our transport protocol. We show that by adapting to the unique channel conditions of SMS we can reduce message overheads by as much as 50% and increase data throughput by as much as 545% over the approach used by existing applications. Although the transport protocol can provide efficient, low-bandwidth, moderate-latency data communication between mobile devices throughout the world, we believe that this work has the largest potential impact in developing regions where SMS is often the only option for wireless data communication. Earl Oliver |
MobiSys | 1 |