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Nicholas Ball

dblp:82/4077 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Content delivery and video streaming
content delivery network
0.112008
Distributed content delivery using load-aware network coordinates · CoNEXT 2008
Edge and fog computing
request routing
0.112008
Distributed content delivery using load-aware network coordinates · CoNEXT 2008
Content delivery and video streaming
server selection
0.112008
Distributed content delivery using load-aware network coordinates · CoNEXT 2008
Distributed systems › distributed algorithms › distributed estimation
network coordinates
0.012008
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
YearPublicationVenuePosition
2008 Distributed content delivery using load-aware network coordinates
abstract
To 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
CoNEXT1