Reducing the costs of large-scale BFT replication

  • Authors:
  • Marco Serafini;Neeraj Suri

  • Affiliations:
  • TU Darmstadt, Germany;TU Darmstadt, Germany

  • Venue:
  • LADIS '08 Proceedings of the 2nd Workshop on Large-Scale Distributed Systems and Middleware
  • Year:
  • 2008

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Abstract

We identify three key challenges in designing large-scale fault tolerant services. The first is keeping stable best-case performance in presence of failures, which are increasingly becoming commonplace. The second is that worst-case failures should not result in major service disruptions and needs to be tolerated. The third is minimizing the costs of replicating a large number of services. While most previous work has focused on addressing the first two challenges, we propose new approaches to reduce the replication costs of BFT replication in large-scale services.