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Estudo Geral
Doctoral thesis . 2006
Data sources: Estudo Geral
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Position-based distributed hash tables

Authors: Araújo, Filipe João Boavida de Mendonça Machado de;

Position-based distributed hash tables

Abstract

In this thesis we want to create scalable, fault-tolerant and self-configuring dictionaries that can be deployed in a wide range of networks, including highly dynamic networks with frequent membership changes, like peer-to-peer overlay networks or wireless ad hoc networks. In recent years, distributed hash tables (DHTs) have emerged as a solution to implement large-scale dictionaries. However, given the existing bandwidth limitations, updating routing information in DHTs remains a challenge. Position-based routing schemes arise as an attractive solution to this problem, due to inexpensive and ubiquitous localization mechanisms. Positional information enables the creation of oblivious (or memoryless) routing schemes, where the coordinates of the current forwarding node, of its neighbors and of the destination, suffice to determine the next hop. Such routing schemes are very suitable to rapidly changing networks, because they require very little control information. We argue in this thesis that we can use positional information to efficiently support routing and DHT operation in wireless ad hoc and in wired networks, whenever position of nodes reflects network topology. To support this claim, we create and evaluate a number of algorithms that simultaneously support routing and DHT operation in both types of networks.

Tese de doutoramento em Informática, apresentada à Fac. de Ciências da Univ. de Lisboa

Country
Portugal
Related Organizations
Keywords

Position-based routing scheme, Long range contact, Distributed hash table, Overlay network, Delaunay triangulation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green