Parallel Object Server - Architecture and Performance

  • Petr Kroha
  • Joerg Lindner
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1677)

Abstract

In this paper we describe the architecture and the performance of an implemented prototype of a parallel object server that we developed for storing fine grained objects. Finally, we present results of our experiments that concern the question how the speedup depends on the number of processors involved and the number of users working simultaneously.

Keywords

Data Repository Case Tool Transaction Manager Parallel Server Parallel Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    De Witt, D., Naughton, J.F. et al: ParSets for Parallelizing OODBMS Traversal: Implementation and Performance. In: Proc. 3rd International Conference on Parallel and Distributed Information Systems, pp. 111–120, Austin, September 1994.Google Scholar
  2. 2.
    Emmerich, W., Kroha, P., Schäfer, W.: Object-Oriented Database Management Systems for Construction of CASE Environments. In: Marik, V. et al. (Eds.): Proceedings of the 4th Int. Conference DEXA’93, Lecture Notes in Computer Science, No. 720, Springer, 1993.Google Scholar
  3. 3.
    Freitag, B., Jones, C.B., Lengauer, Ch. Schek, H.-J.: (Eds.): Object Orientation with Parallelism and Persistence. Kluwer Academic Publishers, 1996.Google Scholar
  4. 4.
    Kroha, P.: Translation of a Query in OODBMS into a System of Parallel Tasks. EUROMICRO’92, Microprocessing and Microprogramming 37 (1993), North-Holland.Google Scholar
  5. 5.
    Kroha, P.: Objects and Databases. McGraw-Hill, 1993.Google Scholar
  6. 6.
    Kroha, P.: Shortcoming and Extensions of Relational DBMS. In: Adelsberger, H. et al. (Eds.): Information Management in Computer Integrated Manufacturing. Lecture Notes in Computer Science, No. 973, Springer, 1995.Google Scholar
  7. 7.
    Kroha, P.: Softwaretechnologie. Prentice Hall, 1997. (In German)Google Scholar
  8. 8.
    Kroha, P., Rosenbaum, S.: Object Server on a Parallel Computer. In: Wagner, R.R. (Ed.): Proceedings of the 8th International Workshop on Database and Expert Systems Applications DEXA’97, IEEE Computer Society, Toulouse 1997.Google Scholar
  9. 9.
    Kroha, P., Lindner, J.: Parallel Object Server as a Data Repository for CASE Tools. In: Croll, P., El-Rewini, H.(Eds.): Proceedings of International Symposium on Software Engineering for Parallel and Distributed Systems PDSE’99, Workshop of ICSE’99, pp. 148–156, IEEE Computer Society, Los Angeles, May 1999.CrossRefGoogle Scholar
  10. 10.
    Lindner, J.: Properties of a Parallel Object Server as a Data Repository for CASETools. M.Sc. Thesis, Faculty of Informatics, TU Chemnitz, 1998. (In German).Google Scholar
  11. 11.
    Maier, D.: Making Database Systems Fast Enough For CAD. In: Kim, W., Lochovsky, F. (Eds.): Object-oriented Concepts, Databases and Applications, pp. 573–582, ACM Press 1989.Google Scholar
  12. 12.
    Radestock, M., Eisenbach, S.: An Object Model for Distributed and Concurrent Programming Based on Decomposition. In: [3].Google Scholar
  13. 13.
    Stonebraker, M.: The case for shared nothing. Database Engineering, Vol. 9, No. 1, 1986.Google Scholar
  14. 14.
    Valduriez, P.: Parallel database systems: the case for shared nothing. In: Proc. of the 9th Int. Conf. On Data Engineering, pp. 460–465, Vienna 1993.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Petr Kroha
    • 1
  • Joerg Lindner
    • 1
  1. 1.Fakultät für Informatik, TU ChemnitzChemnitzGermany

Personalised recommendations