Evaluation of a Small Scale Cluster Computing System for Parallel Intelligent Techniques Applications

A small scale distributed computing system that is able to meet the needs of parallel intelligent techniques for engineering and science applications is reported in this paper. The reported system is a cluster of general-purpose PCs interconnected in a network. Such systems are powerful yet low cost...

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Bibliographic Details
Published in:2005 International Conference on Machine Learning and Cybernetics Vol. 1; pp. 388 - 393
Main Authors: Chun-Che Fung, Jia-Bin Li, Myers
Format: Conference Proceeding
Language:English
Published: IEEE 01.08.2005
Subjects:
Cluster computing systems
computational intelligence
Concurrent computing
Costs
Design engineering
Distributed computing
Intelligent systems
Java
parallel and distributed programming
Personal communication networks
Power engineering and energy
Power engineering computing
Power system interconnection
ISBN:0780390911, 9780780390911
ISSN:2160-133X
Online Access:Get full text
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Summary:A small scale distributed computing system that is able to meet the needs of parallel intelligent techniques for engineering and science applications is reported in this paper. The reported system is a cluster of general-purpose PCs interconnected in a network. Such systems are powerful yet low cost. While such systems are not new, 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 and mobility. Hence, the goal of this research is to design a Java-based parallel platform for efficient execution of intelligent techniques for engineering and science applications on a cluster system.
ISBN:0780390911
9780780390911
ISSN:2160-133X
DOI:10.1109/ICMLC.2005.1526978