Grid load balancing using ant colony optimization
An enhanced ant colony optimization technique for jobs and resources scheduling in grid computing is proposed in this paper. The proposed technique combines the techniques from Ant Colony System and Max – Min Ant System and focused on local pheromone trail update and trail limit. The agent conce...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE Computer Society
2010
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/1818/1/Husna_Jamal_Abdul_Nasir%2C_Ku_Ruhana_Ku_Mahamud.pdf http://repo.uum.edu.my/1818/ http://dx.doi.org/10.1109/ICCNT.2010.10 |
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| Institution: | Universiti Utara Malaysia |
| Language: | English |
| Summary: | An enhanced ant colony optimization technique for jobs and resources scheduling in grid computing is proposed in
this paper. The proposed technique combines the techniques
from Ant Colony System and Max – Min Ant System and
focused on local pheromone trail update and trail limit. The
agent concept is also integrated in this proposed technique for the purpose of updating the grid resource table. This facilitates in scheduling jobs to available resources efficiently which will enable jobs to be processed in minimum time and also balance all the resource in grid system. |
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