Reducing the costs of large-scale BFT replication

Marco Serafini, Neeraj Suri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the 2nd Workshop on Large-Scale Distributed Systems and Middleware, LADIS'08
DOIs
Publication statusPublished - 1 Dec 2009
Event2nd Workshop on Large-Scale Distributed Systems and Middleware, LADIS'08 - Yorktown Heights, NY, United States
Duration: 15 Sep 200817 Sep 2008

Publication series

NameACM International Conference Proceeding Series
Volume341

Other

Other2nd Workshop on Large-Scale Distributed Systems and Middleware, LADIS'08
CountryUnited States
CityYorktown Heights, NY
Period15/9/0817/9/08

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Keywords

  • Byzantine fault tolerance
  • cost-efficient speculative execution
  • message histories
  • replier quorums

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Serafini, M., & Suri, N. (2009). Reducing the costs of large-scale BFT replication. In Proceedings of the 2nd Workshop on Large-Scale Distributed Systems and Middleware, LADIS'08 [1529993] (ACM International Conference Proceeding Series; Vol. 341). https://doi.org/10.1145/1529974.1529993