Analysis of the evolution of peer-to-peer systems
By David Liben-Nowell, Hari Balakrishnan, David R Karger. ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing, 2002
498 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/244663b1be7969fae912d287ad9afe67c7f541b4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- John Risson
- Tim Moors
- David R Karger
- Amin Vahdat
- Patrick Reynolds
- M. Frans Kaashoek
- Jon Crowcroft
- Marcelo R. Pias
Citations in the corpus
- Efficient Peer-to-Peer Keyword Searching (2003, background): “They keep churn costs [11] – the costs associated with managing node joins and departures – logarithmic with the size of the network.”
- Understanding churn in peer-to-peer networks (2006, background): “Prior simulation and analysis studies have typically assumed both distributions to be exponential [15, 18, 22], though some studies have modeled the session length distribution as Pareto [14,16] (i.”
- A survey and comparison of peer-to-peer overlay network schemes (2005, background): “If FIND NODE fails to return a peer that is any closer,”
- Survey of research towards robust peer-to-peer networks: Search methods (2006, background): “An earlier paper had posed the question, ‘‘For lookups to be successful during churn, how regularly do the Chord stabilization routines need to run?’’ [291].”
- Koorde: A Simple Degree-Optimal Distributed Hash Table (2003, background): “Koorde: A simple degree-optimal distributed hash table M. Frans Kashoek and David R. Karger MIT Laboratory for Computer Science 2004/11/04 IDEON camp memo 1 1.1 de Bruijn graph DHT DHT "!”