Abstract | ||
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At present, the probability of selecting "the peer next door"' as an overlay neighbour in Kademlia is fairly small. Prior research has been concerned with reducing the lookup latency by means of proximity neighbour and route selection, but focused on recursive routing algorithms. This work leverages location data about peers and extends Kademlia's iterative routing algorithm to reduce cross-network traffic at the level of the distributed hash table. Evaluation with real-world measurement data gives evidence that locality of traffic tends to reduce lookup latencies as well. In turn, mechanisms that aim at reducing lookup latencies do not necessarily reduce cross-network traffic to the same extent. |
Year | DOI | Venue |
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2008 | 10.1109/P2P.2008.36 | Peer-to-Peer Computing |
Keywords | Field | DocType |
recursive routing algorithm,real-world measurement data,iterative routing algorithm,work leverages location data,next door,hash table,overlay neighbour,lookup latency,proximity neighbour,cross-network traffic,peer next door,iterative algorithm,databases,routing,distributed hash table,kademlia,data models | Data modeling,Locality,Latency (engineering),Computer science,Iterative method,Computer network,Overlay,Kademlia,Recursion,Distributed hash table,Distributed computing | Conference |
ISSN | Citations | PageRank |
2161-3567 | 17 | 0.81 |
References | Authors | |
12 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sebastian Kaune | 1 | 214 | 12.93 |
Tobias Lauinger | 2 | 118 | 8.58 |
Aleksandra Kovacevic | 3 | 304 | 19.93 |
Konstantin Pussep | 4 | 195 | 13.86 |