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        <identifier>oai:drops-oai.dagstuhl.de:19130</identifier>
        <datestamp>2024-03-06T11:03:29Z</datestamp>
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          <dc:title>One Step Forward, One Step Back: FLP-Style Proofs and the Round-Reduction Technique for Colorless Tasks</dc:title>
          <dc:creator>Attiya, Hagit</dc:creator>
          <dc:creator>Fraigniaud, Pierre</dc:creator>
          <dc:creator>Paz, Ami</dc:creator>
          <dc:creator>Rajsbaum, Sergio</dc:creator>
          <dc:subject>Wait-free computing</dc:subject>
          <dc:subject>lower bounds</dc:subject>
          <dc:description>The paper compares two generic techniques for deriving lower bounds and impossibility results in distributed computing. First, we prove a speedup theorem (a-la Brandt, 2019), for wait-free colorless algorithms, aiming at capturing the essence of the seminal round-reduction proof establishing a lower bound on the number of rounds for 3-coloring a cycle (Linial, 1992), and going by backward induction. Second, we consider FLP-style proofs, aiming at capturing the essence of the seminal consensus impossibility proof (Fischer, Lynch, and Paterson, 1985) and using forward induction.&#13;
We show that despite their very different natures, these two forms of proof are tightly connected. In particular, we show that for every colorless task Π, if there is a round-reduction proof establishing the impossibility of solving Π using wait-free colorless algorithms, then there is an FLP-style proof establishing the same impossibility. For 1-dimensional colorless tasks (for an arbitrarily number n ≥ 2 of processes), we prove that the two proof techniques have exactly the same power, and more importantly, both are complete: if a 1-dimensional colorless task is not wait-free solvable by n ≥ 2 processes, then the impossibility can be proved by both proof techniques. Moreover, a round-reduction proof can be automatically derived, and an FLP-style proof can be automatically generated from it.&#13;
Finally, we illustrate the use of these two techniques by establishing the impossibility of solving any colorless covering task of arbitrary dimension by wait-free algorithms.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Hagit Attiya and Pierre Fraigniaud and Ami Paz and Sergio Rajsbaum</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 281, 37th International Symposium on Distributed Computing (DISC 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.DISC.2023.4</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-191304</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2023.4</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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