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Sixth International Conference on Grid and Cooperative Computing (GCC 2007)
QoS Scheduling Algorithm Based on Hybrid Particle Swarm Optimization Strategy for Grid Workflow
Urumchi, Xinjiang, China
August 16-August 18
ISBN: 0-7695-2871-6
ASCII Text
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Chunhua Hu, Min Wu, Guoping Liu, Wen Xie, "QoS Scheduling Algorithm Based on Hybrid Particle Swarm Optimization Strategy for Grid Workflow," Grid and Cloud Computing, International Conference on, pp. 330-337, Sixth International Conference on Grid and Cooperative Computing (GCC 2007), 2007.
 
 
BibTex
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@article{ 10.1109/GCC.2007.100,
author = {Chunhua Hu and Min Wu and Guoping Liu and Wen Xie},
title = {QoS Scheduling Algorithm Based on Hybrid Particle Swarm Optimization Strategy for Grid Workflow},
journal ={Grid and Cloud Computing, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2871-6},
pages = {330-337},
doi = {http://doi.ieeecomputersociety.org/10.1109/GCC.2007.100},
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 - QoS Scheduling Algorithm Based on Hybrid Particle Swarm Optimization Strategy for Grid Workflow
SN - 0-7695-2871-6
SP330
EP337
A1 - Chunhua Hu,
A1 - Min Wu,
A1 - Guoping Liu,
A1 - Wen Xie,
PY - 2007
KW - Grid workflow;service selection;QoS global optimal;hybrid particle swarm optimization Algorithm (HPSOA)
VL - 0
JA - Grid and Cloud Computing, International Conference on
ER -
 
Chunhua Hu, Hunan Business College, Changsha
Min Wu, Central South University, Changsha
Guoping Liu, Central South University, Changsha
Wen Xie, Hunan Business College, Changsha
The service oriented grid workflow has been a research focus in grid technology. As an NP complete problem, grid service scheduling is difficult to solve by means of classic algorithms This paper presents an algorithm HPSOA (hybrid particle swarm optimization Algorithm) to resolve dynamic Web services selection with QoS global optimal in grid workflow.The essence of the algorithm is that the problem of dynamic Web Service selection with QoS global optimal is transformed into a multi-objective services composition optimization with QoS constraints.The operations of the cross and mutation in genetic algorithm are brought into PSOA (particle swarm optimization Algorithm) to form a mix algorithm, which called HPSOA solve the QoS global optimal problem. Theoretical analysis and experimental results indicate the feasibility and efficiency of the algorithm.
Index Terms:
Grid workflow;service selection;QoS global optimal;hybrid particle swarm optimization Algorithm (HPSOA)
Citation:
Chunhua Hu, Min Wu, Guoping Liu, Wen Xie, "QoS Scheduling Algorithm Based on Hybrid Particle Swarm Optimization Strategy for Grid Workflow," gcc, pp.330-337, Sixth International Conference on Grid and Cooperative Computing (GCC 2007), 2007
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