Skip to main content

System Failure and Recovery

  • Chapter
Real-Time Database Systems

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. L. Cabrere, J. A. McPherson, P. M. Schwarz, and J. C. Wylie, “Implementing atomicity in two systems: Techniques, tradeoffs and experience,” IEEE Transactions on Software Engineering, vol. 19, Oct. 1993.

    Google Scholar 

  2. K. Elhardt and R. Bayer, “A database cache for high performance and fast restart in database systems,” ACM TODS, Dec. 1984.

    Google Scholar 

  3. T. Haerder and A. Reuter, “Principles of transaction oriented database recovery,” ACM Computing Surveys, vol. 15, Dec. 1983.

    Google Scholar 

  4. C. Mohan, D. Haderle, B. Lindsay, H. Pirahesh, and P. Schwarz, “Aries: A transaction recovery method supporting fine granularity locking and partial rollbacks using write-ahead logging,” ACM TODS, vol. 17, Mar. 1992.

    Google Scholar 

  5. A. Reuter, “Performance analysis of recovery techniques,” ACM TODS, Dec. 1984.

    Google Scholar 

  6. A. Amman, M. Hanrahan, and R. Krishnamurthy, “Design of a memory resident dbms,” in Proceedings of IEEE Compcon, Feb. 1985.

    Google Scholar 

  7. R. Hagmann, “A crash recovery scheme for a memory resident database system,” IEEE Transactions on Computers, Sep. 1986.

    Google Scholar 

  8. GTE-Laboratories, “White paper: Network management on the web (newow) with tonics,” tech. rep., GTE-Laboratories, 1998

    Google Scholar 

  9. J. A. Stankovic, “Misconceptions about real-time computing,” IEEE Computer, vol. 21, Oct. 1988.

    Google Scholar 

  10. R. K. Abbott and H. Garcia-Molina, “Scheduling real-time transactions: A performance evaluation,” ACM Trans. on Database Systems, Sep. 1992.

    Google Scholar 

  11. J. R. Haritsa, M. J. Carey, and M. Livny, “Earliest deadline scheduling for real-time database systems,” in Proceedings of the Real-Time Systems Symposium, Dec 1991.

    Google Scholar 

  12. J. Huang, J. Stankovic, D. Towsley, and K. Ramamritham, “Experimental evaluation of real-time transaction processing,” in Proceedings of the Real-Time Systems Symposium, pp. 144–153, Dec. 1989.

    Google Scholar 

  13. R. M. Sivasankaran, J. Stankovic, D. Towsley, B. Purimetla, and K. Ramamritham, ”Priority assignment in real-time active databases,” VLDB Journal, vol. 5, Jan. 1996.

    Google Scholar 

  14. R. Agrawal and D. J. Dewitt, “Recovery architectures for multiprocessor database machines,” in ACM SIGMOD, International Conference on. Management of Data, 1985.

    Google Scholar 

  15. R. M. Sivasankaran, K. Ramamritham, J. Stankovic, and D. Towsley, “Data placement, logging and recovery in real-time active databases,” in International Workshop on Active and Real-Time Database Systems, Jun. 1995.

    Google Scholar 

  16. J. Huang and L. Gruenwald, “Impact of timing constraints on real-time database recovery,” in Workshop on Databases: Active and Real-time, Nov. 1996.

    Google Scholar 

  17. R. Agrawal and H. V. Jagadish, “Recovery algorithms for database machines with non-volatile memory,” in Database Machines, Proceedings. of Sixth International Workshop IWDM, June 1989.

    Google Scholar 

  18. R. M. Sivasankaran, K. Ramamritham, and J. Stankovic, “Logging and recovery alogorithms for real-time databases (being written),” tech. rep., University of Massachusetts, Technical Report, 2000.

    Google Scholar 

  19. J. Boak, “Brute force: Improving oracle performance using solid state disk,” tech. rep., Database Excelleration Systems, 1996.

    Google Scholar 

  20. M. H. Eich, “Main memory database research directions,” in Data base Machines, Proceedings of Sixth International Workshop IWDM, June 1989.

    Google Scholar 

  21. E. Rahm, “Performance evaluation of extended storage architectures,” in Proc. ACM SIGMOD Conference, 1992.

    Google Scholar 

  22. A. P. Sheth, M. Rusinkiewicz, and G. Karabatis, “Using polytransactions to manage interdependent data,” in Database Transaction Models for Advanced Applications, 1995.

    Google Scholar 

  23. T. Tsuei, A. N. Packer, and K. Ko, “Databse buffer size investigation for oltp workloads,” in ACM SIGMOD, International Conference on Management of Data, 1997.

    Google Scholar 

  24. E. Levy and A. Silberschatz, “Incremental recovery in main memory database systems,” IEEE Transactions on Knowledge and Data Engineering, vol. 4, Dec. 1992.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Kluwer Academic Publishers

About this chapter

Cite this chapter

Sivasankaran, R.M., Ramamritham, K., Stankovic, J.A. (2002). System Failure and Recovery. In: Lam, KY., Kuo, TW. (eds) Real-Time Database Systems. The International Series in Engineering and Computer Science, vol 593. Springer, Boston, MA. https://doi.org/10.1007/0-306-46988-X_9

Download citation

  • DOI: https://doi.org/10.1007/0-306-46988-X_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-7923-7218-9

  • Online ISBN: 978-0-306-46988-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics