Encyclopedia of Database Systems

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

Real-Time Transaction Processing

  • Jörgen HanssonEmail author
  • Ming Xiong
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_721


Time-constrained transaction management


Real-time transaction processing focuses on (i) enforcing time constraints of transactions, i.e., meet time constraints on invocation and completion, and (ii) ensuring temporal consistency of data, i.e., data should be valid/fresh at the time of usage.

The successful integration of time-cognizant behavior and transaction processing into a database system is generally referred to as a real-time database system (RTDB).

Historical Background

The area of real-time transaction processing has emerged from the need for real-time systems, which often are safety-critical, to handle large amounts of data in a systematic fashion, and the increasing expectation of non-critical applications that have used conventional databases but are now needed to deal with “soft” real-time data applications, e.g., multimedia. Real-time systems have traditionally managed data in an ad hoc manner, i.e., system developers have stored and manipulated data...

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Recommended Reading

  1. 1.
    Abbott R, Garcia-Molina H. Scheduling real-time transactions: a performance evaluation. In: Proceedings of the 14th International Conference on Very Large Data Bases; 1988.Google Scholar
  2. 2.
    Bestavros A, Fay-Wolfe V. Real-time database and information systems – research advances. Bostan: Kluwer Academic Publishers; 1997.zbMATHCrossRefGoogle Scholar
  3. 3.
    Carey M, Livny M. Conflict detection tradeoffs for replicated data. ACM Trans Database Syst. 1991;16(4):703–46.CrossRefGoogle Scholar
  4. 4.
    Gray J, Reuter A. Transaction processing: concepts and techniques. Burlington: Morgan Kaufmann; 1992.zbMATHGoogle Scholar
  5. 5.
    Haritsa J, Carey M, Livny M. Data access scheduling in firm real-time database systems. J Real Time Syst. 1992;4(3):203–41.CrossRefGoogle Scholar
  6. 6.
    Haritsa J, Ramamritham K, Gupta R. The PROMPT real-time commit protocol. IEEE Trans Parall Distr Syst. 2000;11(2):160–81.CrossRefGoogle Scholar
  7. 7.
    Ramamritham K. Real-time databases. Int J Distrib Parallel Databases. 1993;1(2):199–226.CrossRefGoogle Scholar
  8. 8.
    Ramamritham K, Son SH, Cingiser DL. Real-time databases and data services. Real Time Syst J. 2004;28(2/3):179–215.zbMATHCrossRefGoogle Scholar
  9. 9.
    Son SH. Advances in real-time systems. Englewood Cliffs: Prentice-Hall; 1995.Google Scholar
  10. 10.
    Soparkar N, Korth HF, Silberschatz A. Time-constrained transaction management – real-time constraints in database transaction systems. Bostan: Kluwer Academic Publishers; 1996.zbMATHCrossRefGoogle Scholar
  11. 11.
    Stankovic J, Ramamritham K. What is predictability for real-time systems? Real Time Syst. 1990;2(4):247–54.CrossRefGoogle Scholar
  12. 12.
    Xiong M., Han S., and Lam K-Y. A deferrable scheduling algorithm for real-time transactions maintaining data freshness. In: Proceedings of the 26th IEEE Real-Time Systems Symposium; 2005. p. 27–37.Google Scholar

Copyright information

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

Authors and Affiliations

  1. 1.University of SkövdeSkövdeSweden
  2. 2.Bell LabsMurray HillUSA
  3. 3.Google, Inc.New YorkUSA

Section editors and affiliations

  • Panos K. Chrysanthis
    • 1
  1. 1.Dept. of Computer ScienceUniv. of PittsburghPittsburghUSA