Advertisement

General protocols for consensus in distributed systems

  • Chiaki Yahata
  • Makoto Takizawa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 978)

Abstract

In distributed applications, a group of processes have to make consensus to do the cooperation. If the processes take the same value by exchanging the values taken by the processes, the consensus is obtained. It is important to consider what values the process can take after taking a value. In this paper, we define a dominant relation ≺ to denote this precedence relation among the values. Based on ≺, we present four steps of the general consensus protocol, i.e. pre-voting, voting, global decision, and final local decision. Here, the process can change the mind after notifying other processes of the opinion, and various kinds of global decision logics and control schemes can be adopted.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Barborak, M., Malek, M., and Dahbura, A., “The Consensus Problem in Fault-Tolerant Computing,” ACM Computing Surveys, Vol. 25, No.2, 1993, pp. 182–184,198–199.Google Scholar
  2. 2.
    Bernstein, P. A., Hadzilacos, V., and Goodman, N., “Concurrency Control and Recovery in Database Systems,” Addison-Wesley Publishing Company, 1987, pp.222–261.Google Scholar
  3. 3.
    Birman, K. P., Schiper, A., and Stephenson, P., “Lightweight Causal and Atomic Group Multicast,” ACM Trans. on Computer Systems, Vol. 9, No.3, 1991, pp. 272–314.Google Scholar
  4. 4.
    Ellis, C. A., Gibbs, S. J., and Rein, G. L., “Groupware,” Comm. ACM, Vol. 34, No. 1, 1991, pp. 38–58.Google Scholar
  5. 5.
    Fischer, J. M., Lynch, A. N., and Paterson, S. M., “Impossibility of Distributed Consensus with One Faulty Process,” Journal of ACM, Vol. 32, No.2, 1985, pp. 374–382.MathSciNetGoogle Scholar
  6. 6.
    Gray, J., “Notes on Database Operating Systems, An Advanced Course,” Lecture Notes in Computer Science, No.60, 1978, pp. 393–481.Google Scholar
  7. 7.
    Lamport, L., “Time, Clocks, and the Ordering of Events in a Distributed System,” Comm. ACM, Vol. 21, No.7, 1978, pp. 558–565.MATHGoogle Scholar
  8. 8.
    Lamport, L. and Shostak, R., “The Bysantine Generals Problem,” ACM-Trans.Programming Languages and Systems, Vol. 4, No3, 1982, pp. 382–401.Google Scholar
  9. 9.
    Ozsu, M. T. and Valduriez, P., “Principle of Distributed Database Systems,” Prentice-Hall, 1990.Google Scholar
  10. 10.
    Skeen, D. and Stonebraker, M., “A Formal Model of Crash Recovery in a Distributed System,” IEEE Computer Society Press, Vol. SE-9, No.3, 1983, pp. 219–228.Google Scholar
  11. 11.
    Turek, J. and Shasha, D., “The Many Faces of Consensus in Distributed Systems,” Distributed Computing Systems, IEEE Computer Society Press, 1994, pp.83–91.Google Scholar
  12. 12.
    Yahata, C., Sakai, J., and Takizawa, M., “Generalization of Consensus Protocols,” Proc. of the 9th IEEE Int'l Conf. on Information Networking (ICOIN-9), 1994, pp.419–424.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Chiaki Yahata
    • 1
  • Makoto Takizawa
    • 1
  1. 1.Dept. of Computers and Systems EngineeringTokyo Denki UniversitySaitamaJapan

Personalised recommendations