Advertisement

Automation and Remote Control

, Volume 68, Issue 5, pp 847–859 | Cite as

Technologies of parallel database systems for hierarchical multiprocessor environments

  • P. S. Kostenetskii
  • A. V. Lepikhov
  • L. V. Sokolinskii
Topical Issue

Abstract

For the multiprocessor systems of the hierarchical-architecture relational databases, a new approach to data layout and load balancing was proposed. Described was a database multiprocessor model enabling simulation and examination of arbitrary multiprocessor hierarchical configurations in the context of the on-line transaction processing applications. An important subclass of the symmetrical multiprocessor hierarchies was considered, and a new data layout strategy based on the method of partial mirroring was proposed for them. The disk space used to replicate the data was evaluated analytically. For the symmetrical hierarchies having certain regularity, theorems estimating the laboriousness of replica formation were proved. An efficient method of load balancing on the basis of the partial mirroring technique was proposed. The methods described are oriented to the clusters and Grid-systems.

PACS number

89.20.Ff 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Gray, J., Liu, D., DeWitt, D.J., and Heber, G., Scientific Data Management in the Coming Decade, SIGMOD Record, 2005, vol. 34, no. 4, pp. 34–41.CrossRefGoogle Scholar
  2. 2.
    Graefe, G., Query Evaluation Techniques for Large Databases, ACM Comput. Surveys, 1993, vol. 25, no. 2, pp. 73–169.CrossRefGoogle Scholar
  3. 3.
    Sokolinskii, L.B., Review of the Architectures of Parallel Database Systems, Programmirovanie, 2004, no. 6, pp. 49–63.Google Scholar
  4. 4.
    Bhide, A. and Stonebraker, M., A Performance Comparison of Two Architectures for Fast Transaction Processing, in Proc. 4th Int. Conf. Data Engin., Los Angeles, 1988, pp. 536–545.Google Scholar
  5. 5.
    Bhide, A., An Analysis of Three Transaction Processing Architectures, in Proc. 4th Int. Conf. Very Large Data Bases, Los Angeles, 1988, pp. 339–350.Google Scholar
  6. 6.
    Bouganim, L., Florescu, D., and Valduriez, P., Dynamic Load Balancing in Hierarchical Parallel Database Systems, in Proc. 22th Int. Conf. Very Large Data Bases, Mumbai, 1996, pp. 436–447.Google Scholar
  7. 7.
    Xu, Y. and Dandamudi, S.P., Performance Evaluation of a Two-Level Hierarchical Parallel Database System, in Proc. Int. Conf. Comput. Their Appl., Tempe, 1997, pp. 242–247.Google Scholar
  8. 8.
    DeWitt, D.J. and Gray, J., Parallel Database Systems: Future of the High-performance Database Systems, SUBD, 1995, no. 2, pp. 8–31.Google Scholar
  9. 9.
    Bitton, D. and Gray, J., Disk Shadowing, in Proc. 4th Int. Conf. Very Large Data Bases, Los Angeles, 1988, pp. 331–338.Google Scholar
  10. 10.
    Chen, S. and Towsley, D.F., Performance of a Mirrored Disk in a Real-Time Transaction System, in Proc. 1991 ACM SIGMETRICS Conf. Measurement and Modeling Comput. Syst., San Diego, 1991; Performance Evaluat. Rev., vol. 19, no. 1, pp. 198–207.Google Scholar
  11. 11.
    Mehta, M. and DeWitt, D.J., Placement in Shared-nothing Parallel Database Systems, The VLDB J., 1997, vol. 6, no. 1, pp. 53–72.CrossRefGoogle Scholar
  12. 12.
    Williams, M.H. and Zhou, S., Data Placement in Parallel Database Systems, in Parallel Database Techniques, IEEE Comput. Soc., 1998, pp. 203–218.Google Scholar
  13. 13.
    Prototype of the Parallel Database Control System “Omega,” manuscript on the site http://omega.susu.ru/prototype/.
  14. 14.
    Knuth, D.E., The Art of Computer Programming. vol. 3: Sorting and Searching, Reading: Addison-Wesley, 1969. Translated under the title Iskusstvo programmirovaniya dlya EVM. T. 3: Sortirovka i poisk, Moscow: Mir, 1978.Google Scholar
  15. 15.
    Knuth, D.E., The Art of Computer Programming. Vol. 1, Fundamental Algorithms, Reading, Massachusetts: Addison-Wesley, 1968.Translated under the title Osnovnye algoritmy, Moscow: Vil’yams, 2000.zbMATHGoogle Scholar
  16. 16.
    Lu, H. and Tan, K.L., Dynamic and Load-balanced Task-oriented Database Query Processing in Parallel Systems, in Proc 3rd Int. Conf. Extending Database Technology, Vienna, 1992, pp. 357–372.Google Scholar
  17. 17.
    Omiecinski, E., Performance Analysis of a Load Balancing Hash-Join Algorithm for a Shared Memory Multiprocessor, in Proc. 17th Int. Conf. Very Large Data Bases, 1991, pp. 375–385.Google Scholar
  18. 18.
    Lepikhov, A.V. and Sokolinskii, L.B., Data Layout Strategy in the Multiprocessor Systems with Symmetrical Hierarchical Architecture, Technical Report OMEGA12 of Yuurgu, 2006, manuscript on the site: http://omega.susu.ru/reports/TR12-06-07-89148-Y1N1.pdf.
  19. 19.
    Kostenetskii, L.B., Lepikhov, A.V., and Sokolinskii, L.B., Some Organizational Aspects of Parallel Database Systems for the with Hierarchical Multiprocessor Architecture, in Algoritmy i programmnye sredstva parallel’nykh vychislenii. Sb. nauch. tr. (Algorithms and Software for Paralle Computations. Collected Papers), 2006, no, 9, pp. 42–84.Google Scholar
  20. 20.
    Maertens, H., A Classification of Skew Effects in Parallel Database Systems, in Proc. 7th Int. Euro-Par Conf., 2001, pp. 291–300.Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2007

Authors and Affiliations

  • P. S. Kostenetskii
    • 1
  • A. V. Lepikhov
    • 1
  • L. V. Sokolinskii
    • 1
  1. 1.South-Ural State UniversityChelyabinskRussia

Personalised recommendations