Load balancing using enhanced ant algorithm in grid computing
Load balancing is one of the critical issues that must he considered in managing a grid computing environment.It is complicated due to the distributed and heterogeneous nature of the resources.An enhanced ant algorithm for load balancing in grid computing is proposed in this papcr.The proposed a...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/3940/1/huSS.pdf http://repo.uum.edu.my/3940/ http://dx.doi.org/10.1109/CIMSiM.2010.29 |
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| Institution: | Universiti Utara Malaysia |
| Language: | English |
| Summary: | Load balancing is one of the critical issues that must he considered in managing a grid computing environment.It
is complicated due to the distributed and heterogeneous
nature of the resources.An enhanced ant algorithm for load
balancing in grid computing is proposed in this papcr.The
proposed algorithm will determine the best resource to he
allocated to the jobs based on job characteristics and
resource capacity, and at the same time to balance the entire resources.The proposed algorithm focuses on local
pheromone trail update and trail limit. A grid resource table is used in this proposed technique to store all information about jobs, resources and pheromone value. The credibility of the proposed algorithm is compared with other approach and results produced showed that the algorithm can balance the load of the resources |
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