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        <identifier>oai:drops-oai.dagstuhl.de:20455</identifier>
        <datestamp>2024-07-18T12:12:42Z</datestamp>
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          <dc:title>Multicoloured Hardcore Model: Fast Mixing and Its Applications as a Scheduling Algorithm</dc:title>
          <dc:creator>Olesker-Taylor, Sam</dc:creator>
          <dc:subject>mixing time</dc:subject>
          <dc:subject>queueing theory</dc:subject>
          <dc:subject>hardcore model</dc:subject>
          <dc:subject>proper colourings</dc:subject>
          <dc:subject>independent set</dc:subject>
          <dc:subject>data transmission</dc:subject>
          <dc:subject>randomised algorithms</dc:subject>
          <dc:subject>routing</dc:subject>
          <dc:subject>scheduling</dc:subject>
          <dc:subject>multihop wireless networks</dc:subject>
          <dc:description>In the hardcore model, certain vertices in a graph are active: the active vertices must form an independent set. We extend this to a multicoloured version: instead of simply being active or not, the active vertices are assigned a colour; active vertices of the same colour must not be adjacent.&#13;
This models a scenario in which two neighbouring resources may interfere when active - eg, short-range radio communication. However, there are multiple channels (colours) available; they only interfere if both use the same channel. Other applications include routing in fibreoptic networks.&#13;
We analyse Glauber dynamics. Vertices update their status at random times, at which a uniform colour is proposed: the vertex is assigned that colour if it is available; otherwise, it is set inactive.&#13;
We find conditions for fast mixing of these dynamics. We also use them to model a queueing system: vertices only serve customers in their queue whilst active. The mixing estimates are applied to establish positive recurrence of the queue lengths, and bound their expectation in equilibrium.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Sam Olesker-Taylor</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 302, 35th International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.AofA.2024.20</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-204558</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.AofA.2024.20</dc:identifier>
          <dc:language>eng</dc:language>
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