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        <identifier>oai:drops-oai.dagstuhl.de:20263</identifier>
        <datestamp>2024-07-02T07:52:54Z</datestamp>
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          <dc:title>Caching Connections in Matchings</dc:title>
          <dc:creator>Sadeh, Yaniv</dc:creator>
          <dc:creator>Kaplan, Haim</dc:creator>
          <dc:subject>Caching</dc:subject>
          <dc:subject>Matchings</dc:subject>
          <dc:subject>Caching in Matchings</dc:subject>
          <dc:subject>Edge Coloring</dc:subject>
          <dc:subject>Online Algorithms</dc:subject>
          <dc:description>Motivated by the desire to utilize a limited number of configurable optical switches by recent advances in Software Defined Networks (SDNs), we define an online problem which we call the Caching in Matchings problem. This problem has a natural combinatorial structure and therefore may find additional applications in theory and practice.&#13;
In the Caching in Matchings problem our cache consists of k matchings of connections between servers that form a bipartite graph. To cache a connection we insert it into one of the k matchings possibly evicting at most two other connections from this matching. This problem resembles the problem known as Connection Caching [Cohen et al., 2000], where we also cache connections but our only restriction is that they form a graph with bounded degree k. Our results show a somewhat surprising qualitative separation between the problems: The competitive ratio of any online algorithm for caching in matchings must depend on the size of the graph.&#13;
Specifically, we give a deterministic O(nk) competitive and randomized O(n log k) competitive algorithms for caching in matchings, where n is the number of servers and k is the number of matchings. We also show that the competitive ratio of any deterministic algorithm is Ω(max(n/k,k)) and of any randomized algorithm is Ω(log (n/(k² log k)) ⋅ log k). In particular, the lower bound for randomized algorithms is Ω(log n) regardless of k, and can be as high as Ω(log² n) if k = n^{1/3}, for example. We also show that if we allow the algorithm to use at least 2k-1 matchings compared to k used by the optimum then we match the competitive ratios of connection catching which are independent of n. Interestingly, we also show that even a single extra matching for the algorithm allows to get substantially better bounds.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Yaniv Sadeh and Haim Kaplan</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 297, 51st International Colloquium on Automata, Languages, and Programming (ICALP 2024)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2024.120</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-202639</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2024.120</dc:identifier>
          <dc:language>eng</dc:language>
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