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Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT'06)
Performance-Based Content Retrieval for Learning Object Repositories on Grid Environments
Taipei, Taiwan
December 04-December 07
ISBN: 0-7695-2736-1
ASCII Text
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Wen-Chung Shih, Chao-Tung Yang, Ping-I Chen, Shian-Shyong Tseng, "Performance-Based Content Retrieval for Learning Object Repositories on Grid Environments," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 515-520, Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT'06), 2006.
 
 
BibTex
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@article{ 10.1109/PDCAT.2006.86,
author = {Wen-Chung Shih and Chao-Tung Yang and Ping-I Chen and Shian-Shyong Tseng},
title = {Performance-Based Content Retrieval for Learning Object Repositories on Grid Environments},
journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2736-1},
pages = {515-520},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2006.86},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel and Distributed Computing Applications and Technologies, International Conference on
TI - Performance-Based Content Retrieval for Learning Object Repositories on Grid Environments
SN - 0-7695-2736-1
SP515
EP520
A1 - Wen-Chung Shih,
A1 - Chao-Tung Yang,
A1 - Ping-I Chen,
A1 - Shian-Shyong Tseng,
PY - 2006
KW - null
VL - 0
JA - Parallel and Distributed Computing Applications and Technologies, International Conference on
ER -
 
Wen-Chung Shih, National Chiao Tung University, Taiwan
Chao-Tung Yang, Tunghai University, Taiwan
Ping-I Chen, Tunghai University, Taiwan
Shian-Shyong Tseng, National Chiao Tung University, Taiwan; Asia University, Taiwan
The Sharable Content Object Reference Model (SCORM) has become a popular standard for sharing and reusing teaching materials in the field of elearning. However, efficient retrieval of SCORMcompliant learning objects stored on grid environments is a challenging problem. In this paper, a performance-based approach is proposed to retrieve teaching materials in grid environments. The proposed architecture uses the real-time information gathered by a resource-monitoring tool to estimate the dynamically changing performance of each node, for CPU loading and network bandwidth. In addition, a grid testbed is built to implement the model. Experimental results show that the proposed approach can choose the most appropriate site to reduce the retrieval time.
Citation:
Wen-Chung Shih, Chao-Tung Yang, Ping-I Chen, Shian-Shyong Tseng, "Performance-Based Content Retrieval for Learning Object Repositories on Grid Environments," pdcat, pp.515-520, Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT'06), 2006
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