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        <identifier>oai:drops-oai.dagstuhl.de:11941</identifier>
        <datestamp>2024-03-06T10:49:04Z</datestamp>
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          <dc:title>Coordination-Free Byzantine Replication with Minimal Communication Costs</dc:title>
          <dc:creator>Hellings, Jelle</dc:creator>
          <dc:creator>Sadoghi, Mohammad</dc:creator>
          <dc:subject>Byzantine learner</dc:subject>
          <dc:subject>coordination-free checkpoint protocol</dc:subject>
          <dc:subject>delayed-replication</dc:subject>
          <dc:subject>information dispersal</dc:subject>
          <dc:subject>consensus</dc:subject>
          <dc:description>State-of-the-art fault-tolerant and federated data management systems rely on fully-replicated designs in which all participants have equivalent roles. Consequently, these systems have only limited scalability and are ill-suited for high-performance data management. As an alternative, we propose a hierarchical design in which a Byzantine cluster manages data, while an arbitrary number of learners can reliable learn these updates and use the corresponding data.&#13;
To realize our design, we propose the delayed-replication algorithm, an efficient solution to the Byzantine learner problem that is central to our design. The delayed-replication algorithm is coordination-free, scalable, and has minimal communication cost for all participants involved. In doing so, the delayed-broadcast algorithm opens the door to new high-performance fault-tolerant and federated data management systems. To illustrate this, we show that the delayed-replication algorithm is not only useful to support specialized learners, but can also be used to reduce the overall communication cost of permissioned blockchains and to improve their storage scalability.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Jelle Hellings and Mohammad Sadoghi</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 155, 23rd International Conference on Database Theory (ICDT 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICDT.2020.17</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-119418</dc:identifier>
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          <dc:language>eng</dc:language>
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