Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

James D. Guyton

dblp:94/6715 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1995
—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
Content delivery and video streaming · 87% Internet architecture and protocols · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Content delivery and video streaming › server selection
replica selection
0.011995
Locating Nearby Copies of Replicated Internet Servers · SIGCOMM 1995
Content delivery and video streaming
server selection
0.011995
Locating Nearby Copies of Replicated Internet Servers · SIGCOMM 1995
Internet architecture and protocols
network topology
0.011995
Locating Nearby Copies of Replicated Internet Servers · SIGCOMM 1995

Methods — techniques the papers use, named apart from their topics

traceroute · 0.0simulation · 0.0anycast · 0.0
YearPublicationVenuePosition
1995 Locating Nearby Copies of Replicated Internet Servers
abstract
In this paper we consider the problem of choosing among a collection of replicated servers, focusing on the question of how to make choices that segregate client/server traffic according to network topology.We explore the cost and effectiveness of a variety of approaches, ranging from those requiring routing layer support (e.g., anycast) to those that build location databases using application-level probe tools like traceroute. Weuncover a number of tradeoffs between effectiveness, network cost, ease of deployment, and portability across differenttypes of networks. We performed our experiments using a simulation parameterized by a topology collected from 7 survey sites across the United States, exploring a global collection of Network Time Protocol servers.
James D. Guyton, Michael F. Schwartz
SIGCOMM1