Skip to main content

An algorithm for the implementation of replicated tables

  • Conference paper
  • First Online:
Foundations of Data Organization and Algorithms (FODO 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 730))

  • 119 Accesses

Abstract

A table is an abstract data type that supports the three operations, insert, delete, and find. Such an ADT has wide applications in distributed databases and distributed file systems. In the last several years, several distributed systems that make use of tables have been implemented.

In this paper, we present a technique for the implementation of replicated tables. The technique assumes that the update operations, insert and delete, are performed by first updating the copy at one arbitrary site called the principal site and then propagating them to the others, called the subordinate sites. Our algorithm implements the update operations, insert and delete, in amortized time O(log n) at the principal site, but in amortized time O(1) at the subordinate sites. The query operation, find, can still be done in worst-case time O(log n) at all the sites.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Andrew D. Birrell, Roy Levin, Roger M. Needham, and Michael D. Schroeder. Grapevine: an exercise in distributed computing. Communications of the Association for Computing Machinery, 25(4):260–274, 1982.

    Google Scholar 

  2. M.R. Brown and R.E. Tarjan. Design and analysis of a data structure for representing sorted lists. SIAM Journal on Computing, 9:594–614, 1980.

    Google Scholar 

  3. S.B. Davidson, H. Garcia-Molina, and D. Skeen. Consistency in partitioned net-works. ACM Computing Surveys, 17(3):346–370, September 1985.

    Google Scholar 

  4. K.P. Eswaran, J.N. Gray, R.A. Lorie, and I.L. Traiger. The notions of consistency and predicate locks in a database system. Communications of the ACM, 19(11):624–633, November 1976.

    Google Scholar 

  5. D.K. Gifford. Weighted voting for replicated data. In Proceedings 7th ACM SIGOPS Symposium on Operating Systems principles, pages 150–159, Pacific Grove, CA, December 1979.

    Google Scholar 

  6. M. Herlihy. Dynamic quorum adjustment for partitioned data. ACM Transactions on Database Systems, 12(2):170–194, June 1987.

    Google Scholar 

  7. M. Herlihy. A quorum-consensus replication method for abstract data types. ACM Transactions on Computer Systems, 4(1):32–53, February 1986.

    Google Scholar 

  8. S. Huddleston and K. Mehlhorn. A new data structure for representing sorted lists. Acta Informatica, 17:157–184, 1982.

    Google Scholar 

  9. D.E. Knuth. The Art of Computer Programming Vol III: Sorting and Searching. Addison Wesley, 1973.

    Google Scholar 

  10. Derek C. Oppen and K. Dalal, Yogen. The clearinghouse: a decentralized agent for locating named objects in a distributed environment. ACM Transactions on Office Information Systems, 1(3):230–253, 1983.

    Google Scholar 

  11. M. Satyanarayanan, John H. Howard, David A. Nichols, Robert N. Sidebotham, Alfred Z. Spector, and Michael J. West. The ITC distributed system: principles and design. In Proceedings of the Twelfth Symposium on Operating Systems Principles, pages 35–50, 1985.

    Google Scholar 

  12. M. Stonebraker. Concurrency control and consistency of multiple copies of data in distributed INGRES. IEEE Transactions on Software Engineering, 5(3):188–194, May 1979.

    Google Scholar 

  13. Robert E. Tarjan. Amortized computational complexity. SIAM J. Alg. Disc. Meth., 6(3):306–318, April 1985.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

David B. Lomet

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dathan, B. (1993). An algorithm for the implementation of replicated tables. In: Lomet, D.B. (eds) Foundations of Data Organization and Algorithms. FODO 1993. Lecture Notes in Computer Science, vol 730. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57301-1_21

Download citation

  • DOI: https://doi.org/10.1007/3-540-57301-1_21

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57301-2

  • Online ISBN: 978-3-540-48047-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics