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Intelligent object locality naming model in an object-based distributed system for engineering applications

Fung, C.C., Li, J.B. and Depickere, A. (2007) Intelligent object locality naming model in an object-based distributed system for engineering applications. In: 2007 International Conference on Machine Learning and Cybernetics, 19-22 Aug. 2007, Hong Kong pp. 124-130.

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    Link to Published Version: http://dx.doi.org/10.1109/ICMLC.2007.4370127
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    Abstract

    Complex engineering applications demand powerful computing resources. An object based distributed system is suitable for such applications due to the inherent parallelism nature in the object based computing model. As the model is based on message passing, which in turns relies on location transparent object names, an efficient name translation system is therefore required to map the object names to the corresponding physical addresses dynamically. In this paper, we propose a heuristic distributed search algorithm, the hierarchy random walker (HRW), to take advantage of the locality of object communications thereby increasing the overall system performance. Analysis of the simulation results from a number of benchmark programs have demonstrated that the benefits of the proposed algorithm are in terms of flexibility and efficient to locate the most used objects. The approach will be applied to intelligent techniques for engineering problems.

    Publication Type: Conference Paper
    Murdoch Affiliation: School of Information Technology
    Publisher: IEEE
    Copyright: (c) 2007 IEEE.
    Notes: 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.
    URI: http://researchrepository.murdoch.edu.au/id/eprint/580
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