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        <datestamp>2024-03-06T10:35:04Z</datestamp>
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          <dc:title>Bounds on the Cover Time of Parallel Rotor Walks</dc:title>
          <dc:creator>Dereniowski, Dariusz</dc:creator>
          <dc:creator>Kosowski, Adrian</dc:creator>
          <dc:creator>Pajak, Dominik</dc:creator>
          <dc:creator>Uznanski, Przemyslaw</dc:creator>
          <dc:subject>Distributed graph exploration</dc:subject>
          <dc:subject>Rotor-Router</dc:subject>
          <dc:subject>Collaborative robots</dc:subject>
          <dc:subject>Parallel random walks</dc:subject>
          <dc:subject>Derandomization</dc:subject>
          <dc:description>The rotor-router mechanism was introduced as a deterministic alternative to the random walk in undirected graphs. In this model, a set of k identical walkers is deployed in parallel, starting from a chosen subset of nodes, and moving around the graph in synchronous steps. During the process, each node maintains a cyclic ordering of its outgoing arcs, and successively propagates walkers which visit it along its outgoing arcs in round-robin fashion, according to the fixed ordering.&#13;
&#13;
We consider the cover time of such a system, i.e., the number of steps after which each node has been visited by at least one walk, regardless of the starting locations of the walks. In the case of k=1, [Yanovski et al., 2003] and [Bampas et al., 2009] showed that a single walk achieves a cover time of exactly Theta(mD) for any n-node graph with m edges and diameter D, and that the walker eventually stabilizes to a traversal of an Eulerian circuit on the set of all directed edges of the graph. For k&gt;1 parallel walks, no similar structural behaviour can be observed.&#13;
&#13;
In this work we provide tight bounds on the cover time of k parallel rotor walks in a graph. We show that this cover time is at most (mD/log(k)) and at least Theta(mD/k) for any graph, which corresponds to a speedup of between Theta(log(k)) and Theta(k) with respect to the cover time of a single walk. Both of these extremal values of speedup are achieved for some graph classes. Our results hold for up to a polynomially large number of walks, k=O(poly(n)).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Dariusz Dereniowski and Adrian Kosowski and Dominik Pajak and Przemyslaw Uznanski</dc:contributor>
          <dc:date>2014</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 25, 31st International Symposium on Theoretical Aspects of Computer Science (STACS 2014)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.STACS.2014.263</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-44637</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2014.263</dc:identifier>
          <dc:language>eng</dc:language>
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