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Performance evaluation system for object stores

  • F. Rabitti
  • R. S. Sferrazza
  • M. G. Tori
  • P. Zezula
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 720)

Abstract

One of the most important problems of object-oriented database management systems is efficiency. This problem becomes particularly evident with applications managing large amounts of data having complex structures and varying sizes (e.g. multimedia data). PESOS (Performance Evaluation System for Object Stores) is a software tool for estimating the cost of associative retrieval in very large and complex object stores. It enables to model various object storage organizations with respect to specific characteristics of the secondary memory hardware. It provides a simple language to specify queries on the object store structures and returns quantitative evaluations, using analytical methods, of the access performance.

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References

  1. [1]
    N. Aloia, S. Barneva, F. Rabitti: Supporting Physical Independence in an Object Database Server. Proceedings of ECOOP-92. In: Lecture Notes in Computer Science 615. Berlin: Springer 1992, pp. 369–412.Google Scholar
  2. [2]
    E. Bertino, W. Kim: Indexing Techniques for Queries on Nested Objects. IEEE Transactions on Knowledge and Data Engineering, Vol. 1, No. 2, June 1989, pp. 196–214.CrossRefGoogle Scholar
  3. [3]
    P. Ciaccia, D. Maio, P. Tiberio: A Method for Hierarchy Processing in Relational Systems. Information Systems, Vol. 14, No. 2, 1989, pp. 93–105.CrossRefGoogle Scholar
  4. [4]
    D. C. Olds: Continued Fractions. New Mathematical Library. New York: Random House 1963.Google Scholar
  5. [5]
    F. Rabitti, R. S. Sferrazza, M. G. Tori, P. Zezula: PESOS: A Performance Evaluation System for Object Store Organizations. Technical Report FIDE/92/44, ESPRIT BRA Project No. 3070, FIDE (Formally Integrated Data Environment), August 1992.Google Scholar
  6. [6]
    P. Valduriez: Join Indices. ACM Transactions on Database Systems, Vol. 12, No. 2, June 1987, pp. 218–46.CrossRefGoogle Scholar
  7. [7]
    P. Zezula, J. Zizka: File Organization Performance Prediction System. In: S. Ghosh, Y. Kambayashi, K. Tanaka, (eds.): Foundations of Data Organization. New York: Plenum Press 1987, pp. 399–406.Google Scholar
  8. [8]
    P. Zezula, F. Rabitti: High Performance Object Store. Technical Report FIDE/90/4, ESPRIT BRA Project No. 3070, FIDE (Formally Integrated Data Environment), December 1990.Google Scholar
  9. [9]
    P. Zezula, F. Rabitti: An Efficient Store for Object Basis. Twenty-fifth ACM-IEEE Hawaii International Conference on System Sciences, Kaloa, Hawaii, USA, Jan. 7–10, 1992, pp. 756–65.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • F. Rabitti
    • 1
  • R. S. Sferrazza
    • 1
  • M. G. Tori
    • 1
  • P. Zezula
    • 1
  1. 1.IEI-CNRPisaItaly

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