Demo Data from EDBT 2026 / reviewers in the wild / expert
Nicholas Ball
dblp:82/4077
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · unresolved
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 |
Content delivery and video streaming · 67% Edge and fog computing · 33% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Content delivery and video streaming
content delivery network |
0.1 | 1 | 2008 | Distributed content delivery using load-aware network coordinates · CoNEXT 2008 |
Edge and fog computing
request routing |
0.1 | 1 | 2008 | Distributed content delivery using load-aware network coordinates · CoNEXT 2008 |
Content delivery and video streaming
server selection |
0.1 | 1 | 2008 | Distributed content delivery using load-aware network coordinates · CoNEXT 2008 |
Distributed systems › distributed algorithms › distributed estimation
network coordinates |
0.0 | 1 | 2008 | Distributed content delivery using load-aware network coordinates · CoNEXT 2008 |
Methods — techniques the papers use, named apart from their topics
load-aware routing · 0.2network coordinates · 0.1network coordinate · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Distributed content delivery using load-aware network coordinatesabstractTo scale to millions of Internet users with good performance, content delivery networks (CDNs) must balance requests between content servers while assigning clients to nearby servers. In this paper, we describe a new CDN design that associates synthetic load-aware coordinates with clients and content servers and uses them to direct content requests to cached content. This approach helps achieve good performance when request workloads and resource availability in the CDN are dynamic. A deployment and evaluation of our system on PlanetLab demonstrates how it achieves low request times with high cache hit ratios when compared to other CDN approaches. Nicholas Ball, Peter R. Pietzuch |
CoNEXT | 1 |