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Fifth International Conference on Grid and Cooperative Computing (GCC'06)
Performability Evaluation of Resource Scheduling Algorithms for Computational Grids
Hunan, China
October 21-October 23
ISBN: 0-7695-2694-2
ASCII Text
x 
 
Yang Qu, Chuang Lin, Yajuan Li, Zhiguang Shan, "Performability Evaluation of Resource Scheduling Algorithms for Computational Grids," Grid and Cloud Computing, International Conference on, pp. 319-326, Fifth International Conference on Grid and Cooperative Computing (GCC'06), 2006.
 
 
BibTex
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@article{ 10.1109/GCC.2006.70,
author = {Yang Qu and Chuang Lin and Yajuan Li and Zhiguang Shan},
title = {Performability Evaluation of Resource Scheduling Algorithms for Computational Grids},
journal ={Grid and Cloud Computing, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2694-2},
pages = {319-326},
doi = {http://doi.ieeecomputersociety.org/10.1109/GCC.2006.70},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Grid and Cloud Computing, International Conference on
TI - Performability Evaluation of Resource Scheduling Algorithms for Computational Grids
SN - 0-7695-2694-2
SP319
EP326
A1 - Yang Qu,
A1 - Chuang Lin,
A1 - Yajuan Li,
A1 - Zhiguang Shan,
PY - 2006
KW - null
VL - 0
JA - Grid and Cloud Computing, International Conference on
ER -
 
Yang Qu, Tsinghua University, China
Chuang Lin, Tsinghua University, China
Yajuan Li, Tsinghua University, China
Zhiguang Shan, State Information Center, China
Resource scheduling is a fundamental issue in achieving high performance on computational grids. In this paper, we concentrate on parallel resource scheduling problems for hierarchical resource scheduling architecture of computational Grids, and propose a Stochastic Reward Nets (SRN) based performability evaluation framework for evaluating the performability of resource scheduling algorithms for computational Grid with resource unavailability. Within the proposed framework, performability model of hierarchical resource scheduling is constructed, 36 combinations of 6 global job scheduling algorithms and 6 local processor allocation algorithms are specified in the uniform performability model, and performability metrics are derived.
Citation:
Yang Qu, Chuang Lin, Yajuan Li, Zhiguang Shan, "Performability Evaluation of Resource Scheduling Algorithms for Computational Grids," gcc, pp.319-326, Fifth International Conference on Grid and Cooperative Computing (GCC'06), 2006
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