Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Distributed Concurrency Control

  • Mathias WeskeEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_833


Synchronizing distributed transactions


Distributed concurrency control provides concepts and technologies to synchronize distributed transactions in a way that their interleaved execution does not violate the ACID properties. Distributed transactions are executed in a distributed database environment, where a set of connected data servers host related data. A distributed transaction consists of a set of subtransactions, each of which is executed by one data server. Distributed concurrency control makes sure that all subtransactions of a set of distributed transactions are serialized identically in all data servers involved. Therefore, not only local dependencies need to be taken into account, but also dependencies involving multiple data servers. Concurrency control techniques known from centralized database systems need to be extended to cope with the new requirements imposed by the distribution aspect.

Historical Background

Distributed concurrency control was an...

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

Recommended Reading

  1. 1.
    Bernstein PA, Goodman N. Concurrency control in distributed database systems. ACM Comput Surv. 1981;13(2):185–221.CrossRefMathSciNetGoogle Scholar
  2. 2.
    Ceri S, Pelagatti G. Distributed databases: principles and systems. New York: McGraw-Hill; 1984.zbMATHGoogle Scholar
  3. 3.
    Eswaran KP, Gray JN, Lorie RA, Traiger IL. The notions of consistency and predicate locks in a database system. Commun ACM. 1976;19(11):624–33.CrossRefMathSciNetzbMATHGoogle Scholar
  4. 4.
    Gray JN. The transaction concept: virtues and limitations. In: Proceedings of the 7th International Conference on Very Data Bases; 1981. p 144–54.Google Scholar
  5. 5.
    Helland P. Life beyond distributed transactions: an Apostate’s opinion. In: Proceedings of the 3rd Biennial Conference on Innovative Data Systems Research; 2007. p. 132–41.Google Scholar
  6. 6.
    Knapp E. Deadlock detection in distributed databases. ACM Comput Surv. 1987;19(4):303–28.CrossRefGoogle Scholar
  7. 7.
    Lamport L. Time, clocks, and the ordering of events in a distributed system. Commun ACM. 1978;21(7):558–65.CrossRefzbMATHGoogle Scholar
  8. 8.
    Özsu MT, Valduriez P. Principles of distributed database systems. 2nd ed. Englewood Cliffs: Prentice-Hall; 1999.Google Scholar
  9. 9.
    Spector AZ, Schwarz PM. Transactions: a construct for reliable distributed computing. ACM Operat Syst Rev. 1983;17(2):18–35.CrossRefGoogle Scholar
  10. 10.
    Weikum G, Vossen G. Transactional information systems – theory, algorithms, and the practice of concurrency control and recovery. San Mateo: Morgan Kaufmann; 2002.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.University of PotsdamPotsdamGermany

Section editors and affiliations

  • Gottfried Vossen
    • 1
  1. 1.Dep. of Inf. SystemsWestf. Wilhelms-UniveristätMünsterGermany