Clustering Distributed Complex Objects - Management and Performance

  • Vlad Wietrzyk
  • Mehmet A. Orgun
  • John M. Hughes
Conference paper


Modem enterprises have to be effective, efficient and innovative in order to sustain in a competitive environment. This complex situation calls for advanced electronic infrastructures for the flexible exchange of all sorts of information.

Rapid advances in computer network technology have made it possible for disparate computers and database management systems to transparently share data and applications at more than one sites on the network.

Due to the increased complexity and multidimensionality of distributed database management systems the issues, theories, and implementations are quite diverse and vast. Distribution is a natural outcome of the business practices, therefore the need for distributed databases is inevitable. Corporate locations are distributed and so is corporate data.

Object-oriented technology as now a topic of intense study as the major candidate to successfully meet the requirements of advanced applications that require data management services of the tourism and hospitality industry. However, a close study of these applications reveals that they are distributed in nature and require data management support in a distributed environment. Thus, these systems require the development of distributed object management systems (DOMs). The purpose of this research paper is to provide an overview of some of the issues that need to be addressed in the development of this technology.

Rapid access to information is one of the key ways in which telecommunications can contribute to the effectiveness of a business operation.


Relational Algebra Query Optimization Multimedia Document Hospitality Industry Relational Query 
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.


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  1. 1.
    Lin, S.H. Son: Concurrency control in real-time databases by dynamic adjustment of serialization order. Proc. 11th Real-Time Syst., 1990.Google Scholar
  2. 2.
    Wietrzyk, V. I., (1996), “Performance Evaluation of New Clustering Algorithm in Object-Oriented Database Systems”. In Proceedings of The 7th International Conference on Database and Expert Systems Applications DEXA `96 Zurich, Switzerland, September 1996.Google Scholar
  3. 3.
    Wietrzyk, V. I., (1994), “QUELIF: A Knowledge - Based Approach to Systems Development”. In Proc. of The Fourth International Conference on Information Systems Development - ISD’94; Methods & Tools - Theory & Practice. (1994).Google Scholar
  4. 4.
    J. Rothine, T. Lozano: Attribute based file organization in a paged memory environment, CACM v 17 n 2, 1974.Google Scholar
  5. 5.
    J. W. Stamos: Static grouping of small objects to enhance performance of a paged virtual memory, ACM trans. On computer systems, v2, N 2, 1984.Google Scholar
  6. 6.
    I. Williams, M. Wolczko, T. Hopkins: Dynamic grouping in an object oriented virtual memory hierarchy, Proc. of European conference on object oriented programming, 1987.Google Scholar
  7. 7.
    M. M. Tsangaris and J.F. Naughton: A stochastic Approach for Clustering in Object Stores, In SIGMOD, 1991.Google Scholar
  8. 8.
    J. G. Hughes: Object-Oriented Databases, Prentice Hall. 1991.Google Scholar
  9. 9.
    M. O. Albertson, J. P. Hutchinson: Discrete Mathematics with Algorithms, John Wiley & Sons, 1988.Google Scholar
  10. 10.
    S. Kundu, J. Misra: A linear tree partitioning algorithm, SIM J. Comput, Vol. 6, 1977.Google Scholar
  11. 11.
    H. F. Korth, A. Silberschatz, Database System Concepts, McGraw Hill, 1986.Google Scholar
  12. 12.
    C. H. Papdimitriou: The Theory of Database Concurrency Control. Computer Science Press, 1986.Google Scholar
  13. 13.
    J. R. Haritsa, M. J. Carey, M. Livny: Dynamic Real-Time Optimistic Concurrency Control, IEEE Real-Time Systems Symposium, Orlando, Florida, 1990.Google Scholar
  14. 14.
    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
  15. 15.
    L. Sha, R. Rajkumar: A real-time locking protocol. IEEE Trans. Comput. 40, 1991.Google Scholar

Copyright information

© Springer-Verlag/Wien 1997

Authors and Affiliations

  • Vlad Wietrzyk
    • 1
  • Mehmet A. Orgun
    • 1
  • John M. Hughes
    • 2
  1. 1.Department of ComputingMacquarie UniversitySydneyAustralia
  2. 2.A/Vice-ChancellorUniversity of Technology SydneyAustralia

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