DocumentCode
467640
Title
Intelligent Object Locality Naming Model in an Object-Based Distributed System for Engineering Applications
Author
Fung, Chun-che ; Li, Jia-bin ; Depickere, Arnold
Author_Institution
Murdoch Univ., Murdoch
Volume
1
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
124
Lastpage
130
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.
Keywords
distributed processing; engineering computing; knowledge based systems; engineering applications; heuristic distributed search algorithm; hierarchy random walker; intelligent object locality naming model; message passing; name translation system; object-based distributed system; Computer applications; Concurrent computing; Distributed computing; Heuristic algorithms; Message passing; Parallel processing; Power engineering and energy; Power engineering computing; Power system modeling; Systems engineering and theory; Distributed searching algorithm; Naming model; Object based distributed systems; Peer-to-peer systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370127
Filename
4370127
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