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
Link To Document :
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