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First International Conference on e-Science and Grid Computing (e-Science'05)
An Approach to Grid Scheduling Optimization Based on Fuzzy Association Rule Mining
Melbourne, Australia
December 05-December 08
ISBN: 0-7695-2448-6
ASCII Text
x 
 
Jin Huang, Hai Jin, Xia Xie, Qin Zhang, "An Approach to Grid Scheduling Optimization Based on Fuzzy Association Rule Mining," e-Science and Grid Computing, International Conference on, pp. 189-195, First International Conference on e-Science and Grid Computing (e-Science'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/E-SCIENCE.2005.16,
author = {Jin Huang and Hai Jin and Xia Xie and Qin Zhang},
title = {An Approach to Grid Scheduling Optimization Based on Fuzzy Association Rule Mining},
journal ={e-Science and Grid Computing, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2448-6},
pages = {189-195},
doi = {http://doi.ieeecomputersociety.org/10.1109/E-SCIENCE.2005.16},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - e-Science and Grid Computing, International Conference on
TI - An Approach to Grid Scheduling Optimization Based on Fuzzy Association Rule Mining
SN - 0-7695-2448-6
SP189
EP195
A1 - Jin Huang,
A1 - Hai Jin,
A1 - Xia Xie,
A1 - Qin Zhang,
PY - 2005
KW - null
VL - 0
JA - e-Science and Grid Computing, International Conference on
ER -
 
Jin Huang, Huazhong University of Science and Technology
Hai Jin, Huazhong University of Science and Technology
Xia Xie, Huazhong University of Science and Technology
Qin Zhang, Huazhong University of Science and Technology
This paper presents a grid scheduling optimization technique based on knowledge discovery. The main idea is to transform the grid monitoring data into a performance data set, extract the association patterns of performance data through fuzzy association rule mining, then construct optimization logic according to the mining results, and finally optimize the grid scheduling. In the process of data mining, a method of association rule mining is proposed based on time-window and fuzzy set concepts, which can mine data for quantitative attribute value based on the attribute and time dimensions in grid performance data set.
Citation:
Jin Huang, Hai Jin, Xia Xie, Qin Zhang, "An Approach to Grid Scheduling Optimization Based on Fuzzy Association Rule Mining," e-science, pp.189-195, First International Conference on e-Science and Grid Computing (e-Science'05), 2005
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