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          <dc:title>Synthesis of Distributed Algorithms with Parameterized Threshold Guards</dc:title>
          <dc:creator>Lazic, Marijana</dc:creator>
          <dc:creator>Konnov, Igor</dc:creator>
          <dc:creator>Widder, Josef</dc:creator>
          <dc:creator>Bloem, Roderick</dc:creator>
          <dc:subject>fault-tolerant distributed algorithms</dc:subject>
          <dc:subject>byzantine faults</dc:subject>
          <dc:subject>parameterized model checking</dc:subject>
          <dc:subject>program synthesis</dc:subject>
          <dc:description>Fault-tolerant distributed algorithms are notoriously hard to get right. In this paper we introduce an automated method that helps in that process: the designer provides specifications (the problem to be solved) and a sketch of a distributed algorithm that keeps arithmetic details unspecified. Our tool then automatically fills the missing parts.&#13;
Fault-tolerant distributed algorithms are typically parameterized, that is, they are designed to work for any number n of processes and any number t of faults, provided some resilience condition holds; e.g., n &gt; 3t. In this paper we automatically synthesize distributed algorithms that work for all parameter values that satisfy the resilience condition. We focus on threshold- guarded distributed algorithms, where actions are taken only if a sufficiently large number of messages is received, e.g., more than t or n/2. Both expressions can be derived by choosing the right values for the coefficients a, b, and c, in the sketch of a threshold a·n+b·t+c. Our method takes as input a sketch of an asynchronous threshold-based fault-tolerant distributed algorithm — where the guards are missing exact coefficients—and then iteratively picks the values for the coefficients.&#13;
Our approach combines recent progress in parameterized model checking of distributed algo- rithms with counterexample-guided synthesis. Besides theoretical results on termination of the synthesis procedure, we experimentally evaluate our method and show that it can synthesize sev- eral distributed algorithms from the literature, e.g., Byzantine reliable broadcast and Byzantine one-step consensus. In addition, for several new variations of safety and liveness specifications, our tool generates new distributed algorithms.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Marijana Lazic and Igor Konnov and Josef Widder and Roderick Bloem</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 95, 21st International Conference on Principles of Distributed Systems (OPODIS 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.OPODIS.2017.32</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-86359</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2017.32</dc:identifier>
          <dc:language>eng</dc:language>
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