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Coordination-Free Byzantine Replication with Minimal Communication Costs

Authors Jelle Hellings, Mohammad Sadoghi



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Jelle Hellings
  • Exploratory Systems Lab, Department of Computer Science, University of California, Davis, Davis, CA 95616-8562, USA
Mohammad Sadoghi
  • Exploratory Systems Lab, Department of Computer Science, University of California, Davis, Davis, CA 95616-8562, USA

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Jelle Hellings and Mohammad Sadoghi. Coordination-Free Byzantine Replication with Minimal Communication Costs. In 23rd International Conference on Database Theory (ICDT 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 155, pp. 17:1-17:20, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/LIPIcs.ICDT.2020.17

Abstract

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. 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.

Subject Classification

ACM Subject Classification
  • Theory of computation → Distributed algorithms
  • Information systems → Distributed database transactions
Keywords
  • Byzantine learner
  • coordination-free checkpoint protocol
  • delayed-replication
  • information dispersal
  • consensus

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