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An Application-Oriented On-Demand Scheduling Approach in the Computational Grid Environment
Hunan, China October 21-October 23
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/GCC.2006.25Fifth International Conference on Gri ...
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Zhengxiong Hou, Xingshe Zhou, Yunlan Wang, "An Application-Oriented On-Demand Scheduling Approach in the Computational Grid Environment," Grid and Cooperative Computing, International Conference on, pp. 66-70, Fifth International Conference on Grid and Cooperative Computing (GCC'06), 2006.
 
 
BibTex
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@article{ 10.1109/GCC.2006.25,
author = {Zhengxiong Hou and Xingshe Zhou and Yunlan Wang},
title = {An Application-Oriented On-Demand Scheduling Approach in the Computational Grid Environment},
journal ={Grid and Cooperative Computing, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2694-2},
pages = {66-70},
doi = {http://doi.ieeecomputersociety.org/10.1109/GCC.2006.25},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Grid and Cooperative Computing, International Conference on
TI - An Application-Oriented On-Demand Scheduling Approach in the Computational Grid Environment
SN - 0-7695-2694-2
SP66
EP70
A1 - Zhengxiong Hou,
A1 - Xingshe Zhou,
A1 - Yunlan Wang,
PY - 2006
KW - null
VL - 0
JA - Grid and Cooperative Computing, International Conference on
ER -
 
Zhengxiong Hou, Northwestern Polytechnical University, China
Xingshe Zhou, Northwestern Polytechnical University, China
Yunlan Wang, Northwestern Polytechnical University, China
There are many effective heuristic algorithms for scheduling in the computational grid, however most scheduling strategies have not consider how to effectively share abundant applications software, especially commercial applications software with limited licenses. In this paper, we propose an application-oriented on-demand scheduling approach. It is based on the static and near-real-time applicationspecific and system-specific information. The scheduling system on-demand intelligently reacts to diverse applications and situations on behalf of the end-users. The implementation and the experiments results show that it delivers good performance.
Citation:
Zhengxiong Hou, Xingshe Zhou, Yunlan Wang, "An Application-Oriented On-Demand Scheduling Approach in the Computational Grid Environment," gcc, pp.66-70, Fifth International Conference on Grid and Cooperative Computing (GCC'06), 2006
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