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Node Sampling Using Centrifugal Random Walks

Sevilla, Andrés and Mozo, Alberto and Fernández Anta, Antonio (2012) Node Sampling Using Centrifugal Random Walks. In: The 16th International Conference On Principles Of DIstributed Systems (OPODIS 2012), 17-20 December 2012, Roma, Italy.

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We propose distributed algorithms for sampling networks based on a new class of random walks that we call Centrifugal Random Walks (CRW). A CRW is a random walk that starts at a source and alwaysmoves away from it. We propose CRW algorithms for connected networks with arbitrary probability distributions, and for grids and networks with regular concentric connectivity with distance based distributions. All CRW sampling algorithms select a node with the exact probability distribution, do not need warm-up, and end in a number of hops bounded by the network diameter.

Item Type: Conference or Workshop Papers (Paper)
Additional Information: Also in: XX Jornadas de Concurrencia y Sistemas Distribuidos, JCSD 2012, 13-15 June 2012, Pamplona, Spain.
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Rebeca De Miguel
Date Deposited: 13 May 2013 08:47
Last Modified: 03 Dec 2014 09:03

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