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2009 Ninth IEEE International Conference on Computer and Information Technology
An Adaptive Job Allocation Strategy for Heterogeneous Multiple Clusters
Xiamen, China
October 11-October 14
ISBN: 978-0-7695-3836-5
ASCII Text
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Chao-Tung Yang, Keng-Yi Chou, "An Adaptive Job Allocation Strategy for Heterogeneous Multiple Clusters," Computer and Information Technology, International Conference on, vol. 1, pp. 209-214, 2009 Ninth IEEE International Conference on Computer and Information Technology, 2009.
 
 
BibTex
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@article{ 10.1109/CIT.2009.138,
author = {Chao-Tung Yang and Keng-Yi Chou},
title = {An Adaptive Job Allocation Strategy for Heterogeneous Multiple Clusters},
journal ={Computer and Information Technology, International Conference on},
volume = {1},
year = {2009},
isbn = {978-0-7695-3836-5},
pages = {209-214},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2009.138},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Technology, International Conference on
TI - An Adaptive Job Allocation Strategy for Heterogeneous Multiple Clusters
SN - 978-0-7695-3836-5
SP209
EP214
A1 - Chao-Tung Yang,
A1 - Keng-Yi Chou,
PY - 2009
KW - self-scheduling
KW - multiple clusters
KW - loop scheduling
KW - load balancing
KW - heterogeneous
KW - cluster computing
VL - 1
JA - Computer and Information Technology, International Conference on
ER -
 
In this paper we proposal a new scheduling system based on multi-clusters environments. The work we present is Adaptive Job Allocation Strategy (AJAS) in which the scheduler dispatches jobs that with self-scheduling scheme into appropriate resources across multi-clusters. The strategy focuses on how to increase resource utility, jobs via self-scheduling and dispatching jobs to nodes with similar performance capacities, thus equalizing execution times among all the nodes the jobs require. Experimental results show that the proposed approach performs better than previous schemes.
Index Terms:
self-scheduling, multiple clusters, loop scheduling, load balancing, heterogeneous, cluster computing
Citation:
Chao-Tung Yang, Keng-Yi Chou, "An Adaptive Job Allocation Strategy for Heterogeneous Multiple Clusters," cit, vol. 1, pp.209-214, 2009 Ninth IEEE International Conference on Computer and Information Technology, 2009
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