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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dawei Sun Guiran Chang Lizhong Jin Xingwei Wang |
| Copyright Year | 2010 |
| Description | Author affiliation: Computing Center, Northeastern University, Shenyang, China (Guiran Chang) || School of Information Science & Engineering, Northeastern University, Shenyang, China (Dawei Sun; Lizhong Jin; Xingwei Wang) |
| Abstract | Focusing on the problem of resource allocation under large-scale, distributed, autonomous, heterogeneous and dynamic environments in grid computing, a heuristic algorithm combining fuzzy clustering with application preference is proposed. Fuzzy clustering method is applied according to a group of features, which describe the user's application preference, to realize reasonable pre-classification resource. Then a resource is chosen according to the synthetic evaluation value, which can make the user's target utility maximized. There is no need to search every resource at each scheduling step. Therefore, the cost on choosing the resource to execute the current task is reduced significantly. Experimental results show that the bigger the target system, the more efficient the algorithm is, and the more satisfactorily the application preferences of users are met. Furthermore, since resources are classified by different application preferences, this method can also avoid heavy loads concentrating on only a few resources so as to improve load balance in grid environments. |
| Starting Page | 22 |
| Ending Page | 27 |
| File Size | 201944 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424458455 |
| e-ISBN | 9781424458486 |
| DOI | 10.1109/ICACC.2010.5487177 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clustering methods grid computing application preference Scheduling Distributed computing heterogeneous computing environment Information science resource allocation Clustering algorithms fuzzy clustering Grid computing Computer networks Large-scale systems Resource management Fuzzy systems |
| Content Type | Text |
| Resource Type | Article |
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