Evaluation of an Efficient Parallel Object Oriented Platform (EPOOP) for Control Intensive Intelligent Applications

  • Chun Che Fung
  • Jia-Bin Li
  • Douglas G. Myers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3930)


A small scale distributed computing system that is able to meet the needs of parallel intelligent techniques for engineering and science applications is reported. The system is a cluster of powerful yet low cost general-purpose PCs interconnected in a network. While, most applications written for cluster systems are programmed in MPI-C, results from the proposed system have shown that it is advantageous to use Java due to its simplicity, distribution enabling, and mobility. These results suggest there are advantages in considering a Java-enhanced cluster platform for many engineering and science applications.


Virtual Machine Shared Memory Message Passing Interface Cluster System Processing Node 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Agha, G.A.: Actors: A Model of Concurrent Computation in Distributed Systems. MIT Press, Cambridge (1986)Google Scholar
  2. 2.
    Amza, C., Cox, A.L., Dwarkadas, S., Jin, L.-J., Rajamani, K., Zwaenepoel, W.: Adaptive protocols for software distributed shared memory. Proceedings of the IEEE, Special Issue on Distributed Shared Memory 87(3), 467–475 (1999)Google Scholar
  3. 3.
    Bershad, B.N., Zekauskas, M.J., Sawdon, W.A.: The Midway Distributed Shared Memory System. In: Proceeding of IEEE COMPCON, pp. 528–537 (1993)Google Scholar
  4. 4.
    Chung, K.P., Li, J.B., Fung, C.C., Wong, K.W.: A parallel architecture for feature extraction in content-based image retrieval system. To be appeared in Proceedings of the 2004 IEEE International Conference on Cybernetics and Intelligent Systems (CIS 2004), December 2004, pp. 468–473 (2004)Google Scholar
  5. 5.
    Chung, K.P., Fung, C.C., Wong, K.W.: A Feature Selection Framework for Small Sampling Data in Content-based Image Retrieval System. In: 5th International Conference on Information, Communications and Signal Processing, December 6-9 (2005)Google Scholar
  6. 6.
    Fung, C.C., Chow, S.Y., Wong, K.P.: A Low-Cost Parallel Computing Platform for Power Engineering Applications. In: APSCOM 2000, Proceedings of Advances in Power System Control, Operation and Management, pp. 354–358 (2000)Google Scholar
  7. 7.
    Fung, C.C., Li, J.B., Wong, K.W.: Development of a Java-based distributed platform for the implementation of computational intelligence techniques. In: Proceedings of the Third International Conference on Machine Learning and Cybernetics (ICMLC), vol. 7, pp. 4156–4161 (2004)Google Scholar
  8. 8.
    Fung, C.C., Li, J.B., Wong, K.W., Wong, K.P.: A java-based parallel platform for the implementation of evolutionary computation for engineering applications. The International Journal of Systems Science 35, 13–14 (2004)CrossRefGoogle Scholar
  9. 9.
    Li, J.B., Fung, C.C., Myers, D.G.: Naming models in object-based distributed systems. In: The 2004 Postgraduate Electrical Engineering and Computing Symposium, PEECS 2004 (2004)Google Scholar
  10. 10.
    Li, K., Hudak, P.: Memory Coherence in Shared Virtual Memory Systems. ACM Transactions on Computer Systems 7(4), 321–359 (1989)CrossRefGoogle Scholar
  11. 11.
    Message Passing Interface (MPI) standard, (accessed on 10/04/2005)
  12. 12.
    MPICH – a portable implementation of MPI, (accessed on 10/04/2005)
  13. 13.
    Wong, K.P., Wong, Y.W.: Genetic and genetic/simulated-annealing approaches to economic dispatch. IEEE Proceedings of Genetic Transmission Distribution 141(5), 507–513 (1994)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chun Che Fung
    • 1
  • Jia-Bin Li
    • 1
  • Douglas G. Myers
    • 2
  1. 1.Centre for Enterprise Collaboration in Innovative Systems, School of Information TechnologyMurdoch UniversityMurdoch
  2. 2.Department of Electrical and Computer EngineeringCurtin University of TechnologyBentley

Personalised recommendations