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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/3940/1/huSS.pdf |
| _version_ | 1803624754500861952 |
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| author | Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana Mohamed Din, Aniza |
| author_facet | Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana Mohamed Din, Aniza |
| author_sort | Abdul Nasir, Husna Jamal |
| collection | UUM |
| description | 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 |
| first_indexed | 2024-07-04T05:23:24Z |
| format | Conference or Workshop Item |
| id | uum-3940 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:23:24Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | uum-39402013-01-21T03:34:50Z https://repo.uum.edu.my/id/eprint/3940/ Load balancing using enhanced ant algorithm in grid computing Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana Mohamed Din, Aniza QA75 Electronic computers. Computer science 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 2010 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/3940/1/huSS.pdf Abdul Nasir, Husna Jamal and Ku-Mahamud, Ku Ruhana and Mohamed Din, Aniza (2010) Load balancing using enhanced ant algorithm in grid computing. In: Second International Conference on Computational Intelligence, Modelling and Simulation (CIMSiM), 2010 , 28-30 Sept. 2010 , Bali, Indonesia. http://dx.doi.org/10.1109/CIMSiM.2010.29 |
| spellingShingle | QA75 Electronic computers. Computer science Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana Mohamed Din, Aniza Load balancing using enhanced ant algorithm in grid computing |
| title | Load balancing using enhanced ant algorithm in grid computing |
| title_full | Load balancing using enhanced ant algorithm in grid computing |
| title_fullStr | Load balancing using enhanced ant algorithm in grid computing |
| title_full_unstemmed | Load balancing using enhanced ant algorithm in grid computing |
| title_short | Load balancing using enhanced ant algorithm in grid computing |
| title_sort | load balancing using enhanced ant algorithm in grid computing |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/3940/1/huSS.pdf |
| work_keys_str_mv | AT abdulnasirhusnajamal loadbalancingusingenhancedantalgorithmingridcomputing AT kumahamudkuruhana loadbalancingusingenhancedantalgorithmingridcomputing AT mohameddinaniza loadbalancingusingenhancedantalgorithmingridcomputing |