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        <identifier>oai:drops-oai.dagstuhl.de:13102</identifier>
        <datestamp>2024-03-06T10:51:34Z</datestamp>
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          <dc:title>Leaderless State-Machine Replication: Specification, Properties, Limits</dc:title>
          <dc:creator>França Rezende, Tuanir</dc:creator>
          <dc:creator>Sutra, Pierre</dc:creator>
          <dc:subject>Fault Tolerance</dc:subject>
          <dc:subject>State Machine Replication</dc:subject>
          <dc:subject>Consensus</dc:subject>
          <dc:description>Modern Internet services commonly replicate critical data across several geographical locations using state-machine replication (SMR). Due to their reliance on a leader replica, classical SMR protocols offer limited scalability and availability in this setting. To solve this problem, recent protocols follow instead a leaderless approach, in which each replica is able to make progress using a quorum of its peers. In this paper, we study this new emerging class of SMR protocols and states some of their limits. We first propose a framework that captures the essence of leaderless state-machine replication (Leaderless SMR). Then, we introduce a set of desirable properties for these protocols: (R)eliability, (O)ptimal (L)atency and (L)oad Balancing. We show that protocols matching all of the ROLL properties are subject to a trade-off between performance and reliability. We also establish a lower bound on the message delay to execute a command in protocols optimal for the ROLL properties. This lower bound explains the persistent chaining effect observed in experimental results.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Tuanir França Rezende and Pierre Sutra</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 179, 34th International Symposium on Distributed Computing (DISC 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.DISC.2020.24</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-131024</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2020.24</dc:identifier>
          <dc:language>eng</dc:language>
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