Development of a Java-based distributed platform for the implementation of computation intelligence techniques

C.C. Fung; J.B. Li; K.P. Wong

doi:10.1109/ICMLC.2004.1384568

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Development of a Java-based distributed platform for the implementation of computation intelligence techniques

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Development of a Java-based distributed platform for the implementation of computation intelligence techniques

C.C. Fung, J.B. Li and K.P. Wong

IEEE

2004 International Conference on Machine Learning and Cybernetics (Shanghai, 26/08/2004–29/08/2004)

2004

DOI: https://doi.org/10.1109/ICMLC.2004.1384568

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Abstract

This work reports three phases of development of a Java-based distributed system for the implementation of computational intelligence techniques to solve practical engineering problems. The first design of the Java-based system is called Para Worker. It is a library of application program interface (APIs) to facilitate parallel computation. Next, a new system, termed Para Worker 2 aimed at improving ease of programming and performance. It also adds enhanced features of improved dynamic object reallocation, adaptive consistency protocols, and location transparency. However, neither of these systems addressed the fundamental issues of Java virtual machine (JVM) in distributed environment. The third phase of development of the Java-based system is a new form of distributed JVM in order to execute Java program efficiently. The new system is termed Java distributed platform (JavaDP).

Details

Title: Development of a Java-based distributed platform for the implementation of computation intelligence techniques
Authors/Creators: C.C. Fung (Author/Creator) - Murdoch University
J.B. Li (Author/Creator) - Murdoch University
K.P. Wong (Author/Creator)
Conference: 2004 International Conference on Machine Learning and Cybernetics (Shanghai, 26/08/2004–29/08/2004)
Publisher: IEEE
Identifiers: 991005543968807891
Murdoch Affiliation: School of Information Technology
Language: English
Resource Type: Conference paper
Note: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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