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Real-time transaction scheduling in database systems

  • Vlad Ingar Wietrzyk
  • Venkat Ramaswamy
Advance Database and Information System Methods 5
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1134)

Abstract

Real-time database systems have transactions with explicit timing constraints, such as ready time, deadlines, and temporal constraints. Meeting the requirements of real-time database systems (RTDBS) requires a balanced and coordinated effort between concurrency control and transaction scheduling. Current research efforts in RTDBS have been focused on scheduling transactions with soft or firm deadlines with serializability as the sole correctness criterion. Efficient resource scheduling algorithms and concurrency control protocols are required to schedule so as to satisfy both timing and data consistency requirements. What we need is a concurrency control algorithm that allows transactions to meet the timing constraints as much as possible without reducing the concurrency level of the system in the absence of any a priori information. In this paper, we present new real-time transaction scheduling algorithms which employ a hybrid approach, i.e., a combination of locking, pessimistic and optimistic methods. Our experimental results indicate that proposed protocols appears to be good, especially under conditions of high transaction load and high data contention.

Keywords

Real-time database systems transaction scheduling performance evaluation 

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References

  1. [1]
    N. Lynch, M. Merritt, W. Weihl: Atomic Transactions, Morgan Kaufmann Publishers, San Mateo, California, 1994.Google Scholar
  2. [2]
    J. Gray, A. Reuter: Transaction Processing — Concepts and Techniques, Morgan Kaufmann Publishers, San Mateo, California, 1993.Google Scholar
  3. [3]
    E. Jensen, C. Locke, H. Tokuda: A Time-Driven Scheduling Model for Real-Time Operating Systems, Proc. of the 6th IEEE Real-Time Systems Symposium (RTSS), December 1985.Google Scholar
  4. [4]
    M. Singhal: Issues and Approaches to Design of Real-Time Database Systems, ACM SIGMOD Record, March 1988.Google Scholar
  5. [5]
    C. Boksenbaum, M. Cart, J. Ferrie, and J. Pons: Concurrent Certifications by Intervals of Timestamps in Distributed Database Systems, IEEE Transactions on Software Engineering, Vol. SE-13, 1987.Google Scholar
  6. [6]
    X. Song, J. Liu: How Well Can Data Temporal Consistency be Maintained?, Proceedings of IEEE Symposium on Computer-Aided Control System Design, 1992.Google Scholar
  7. [7]
    J. Lehoczky, L. Sha: Performance of Real-Time Scheduling Algorithms. ACM Performance Review, Special Issue Vol. 14, 1986.Google Scholar
  8. [8]
    J. Leung, L. Merrill: A Note on Preemptive Scheduling of Periodic, Real-Time Tasks. Information Processing Letters 11, 1980.Google Scholar
  9. [9]
    L. Liu, W. Layland: Scheduling Algorithms for Multiprogramming in a Hard Real-Time Environment. JACM, 1973.Google Scholar
  10. [10]
    W. Zhao, K. Ramamritham, J. Stankovic: Preemptive Scheduling Under Time and Resource Constraints. IEEE Transactions on Computers, 1987.Google Scholar
  11. [11]
    W. Zhao, K. Ramamritham, A. Stankovic: Scheduling Tasks with Resource Requirements in Hard Real-Time Systems. IEEE Transactions on Software Engineering, May 1987.Google Scholar
  12. [12]
    K. Ramamritham, A. Stankovic: Dynamic Task Scheduling in Hard Real-Time Distributed Systems. IEEE Software, July 1984.Google Scholar
  13. [13]
    J. Stankovic: Misconception about Real-Time Computing. Computer, Oct., 1988.Google Scholar
  14. [14]
    L. Sha, R. Rajkumar, C. Chang: A Real-Time Locking Protocol. IEEE Trans. On Computers, July 1991.Google Scholar
  15. [15]
    J. R. Haritsa, M. J. Carey, M. Livny: On being optimistic about real-time constraints. ACM SIGACT-SIGMOD-SIGART, 1990.Google Scholar
  16. [16]
    J. R. Haritsa, M. J. Carey, M. Livny: Data access scheduling in firm real-time database systems. Real-Time Syst., 1992.Google Scholar
  17. [17]
    J. H. Haritsa, M. J. Carey, M. Livny: Dynamic real-time optimistic concurrency control. Proc. 11th Real-Time Systems Symp., 1990.Google Scholar
  18. [18]
    S. H. Son, C. H. Chang: Performance evaluation of real-time locking protocols using a distributed software prototyping environment. Proc. 10th Int. Conf. On Distributed Computing Systems, 1990.Google Scholar
  19. [19]
    Y. Lin, S. H. Son: Concurrency control in real-time databases by dynamic adjustment of serialization order. Proc. 11th Real-Time Syst., 1990.Google Scholar
  20. [20]
    H. F. Korth, A. Silberschatz, Database System Concepts, McGraw Hill, 1986.Google Scholar
  21. [21]
    C. H. Papdimitriou: The Theory of Database Concurrency Control. Computer Science Press, 1986.Google Scholar
  22. [22]
    J. R. Haritsa, M. J. Carey, M. Livny: Dynamic Real-Time Optimistic Concurrency Control, IEEE Real-Time Systems Symposium, Orlando, Florida, 1990.Google Scholar
  23. [23]
    J. Huang, J. A. Stankovic, K. Ramamritham, D. Towsley: Experimental Evaluation of Real-Time Optimistic Concurrency Control Schemes, VLDB Conference, Barcelona, Spain, 1991.Google Scholar
  24. [24]
    L. Sha, R. Rajkumar: A real-time locking protocol. IEEE Trans. Comput. 40, 1991.Google Scholar
  25. [25]
    J. R. Haritsa, M. J. Carey, M. Livny: Dynamic Real-Time Optimistic Concurrency Control, IEEE Real-Time Systems Symposium, Florida, December 1990.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Vlad Ingar Wietrzyk
    • 1
  • Venkat Ramaswamy
    • 1
    • 2
  1. 1.Department of ComputingMacquarie UniversitySydneyAustralia
  2. 2.School of Electrical EngineeringUniversity of Technology SydneyAustralia

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