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        <identifier>oai:drops-oai.dagstuhl.de:7994</identifier>
        <datestamp>2024-03-06T10:41:40Z</datestamp>
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          <dc:title>Which Broadcast Abstraction Captures k-Set Agreement?</dc:title>
          <dc:creator>Imbs, Damien</dc:creator>
          <dc:creator>Mostéfaoui, Achour</dc:creator>
          <dc:creator>Perrin, Matthieu</dc:creator>
          <dc:creator>Raynal, Michel</dc:creator>
          <dc:subject>Agreement problem</dc:subject>
          <dc:subject>Antichain</dc:subject>
          <dc:subject>Asynchronous system</dc:subject>
          <dc:subject>Communication abstraction</dc:subject>
          <dc:subject>Consensus</dc:subject>
          <dc:subject>Message-passing system</dc:subject>
          <dc:subject>Partially ordered set</dc:subject>
          <dc:subject>Process crash</dc:subject>
          <dc:description>It is well-known that consensus (one-set agreement) and total order broadcast are equivalent in asynchronous systems prone to process crash failures. Considering wait-free systems, this article addresses and answers the following question: which is the communication abstraction that "captures" k-set agreement? To this end, it introduces a new broadcast communication abstraction, called k-BO-Broadcast, which restricts the disagreement on the local deliveries of the messages that have been broadcast (1-BO-Broadcast boils down to total order broadcast). Hence, in this context, k=1 is not a special number, but only the first integer in an increasing integer sequence.&#13;
&#13;
This establishes a new "correspondence" between distributed agreement problems and communication abstractions, which enriches our understanding of the relations linking fundamental issues of fault-tolerant distributed computing.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Damien Imbs and Achour Mostéfaoui and Matthieu Perrin and Michel Raynal</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 91, 31st International Symposium on Distributed Computing (DISC 2017)</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.2017.27</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-79943</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2017.27</dc:identifier>
          <dc:language>eng</dc:language>
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