Brief Announcement: Effects of Topology Knowledge and Relay Depth on Asynchronous Consensus

Authors Dimitris Sakavalas, Lewis Tseng, Nitin H. Vaidya



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Author Details

Dimitris Sakavalas
  • Boston College, USA
Lewis Tseng
  • Boston College, USA
Nitin H. Vaidya
  • Georgetown University, USA

Cite As Get BibTex

Dimitris Sakavalas, Lewis Tseng, and Nitin H. Vaidya. Brief Announcement: Effects of Topology Knowledge and Relay Depth on Asynchronous Consensus. In 32nd International Symposium on Distributed Computing (DISC 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 121, pp. 51:1-51:4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/LIPIcs.DISC.2018.51

Abstract

Consider an asynchronous incomplete directed network. We study the feasibility and efficiency of approximate crash-tolerant consensus under different restrictions on topology knowledge and relay depth, i.e., the maximum number of hops any message can be relayed.

Subject Classification

ACM Subject Classification
  • Computer systems organization → Fault-tolerant network topologies
Keywords
  • Asynchrony
  • crash fault
  • consensus
  • topology knowledge
  • relay

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References

  1. Eduardo A. P. Alchieri, Alysson Neves Bessani, Joni da Silva Fraga, and Fabíola Greve. Byzantine consensus with unknown participants. In OPODIS 2008, volume 5401 of LNCS, pages 22-40. Springer, 2008. URL: http://dx.doi.org/10.1007/978-3-540-92221-6_4.
  2. Danny Dolev. The Byzantine generals strike again. Journal of Algorithms, 3(1), 1982. Google Scholar
  3. Danny Dolev, Nancy A. Lynch, Shlomit S. Pinter, Eugene W. Stark, and William E. Weihl. Reaching approximate agreement in the presence of faults. J. ACM, 33(3):499-516, 1986. URL: http://dx.doi.org/10.1145/5925.5931.
  4. M. Pease, R. Shostak, and L. Lamport. Reaching agreement in the presence of faults. J. ACM, 27(2):228-234, 1980. URL: http://dx.doi.org/10.1145/322186.322188.
  5. Dimitris Sakavalas, Lewis Tseng, and Nitin H. Vaidya. Effects of topology knowledge and relay depth on asynchronous consensus. CoRR, abs/1803.04513, 2018. URL: http://arxiv.org/abs/1803.04513.
  6. Lili Su and Nitin Vaidya. Reaching approximate Byzantine consensus with multi-hop communication. In SSS 2015, volume 9212 of LNCS, pages 21-35. Springer, 2015. URL: http://dx.doi.org/10.1007/978-3-319-21741-3_2.
  7. Lewis Tseng and Nitin H. Vaidya. Fault-tolerant consensus in directed graphs. In PODC '15, pages 451-460. ACM, 2015. URL: http://dx.doi.org/10.1145/2767386.2767399.
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