Resource Scheduling with Uncertain Execution Time in Cloud Computing
For the problem of cloud computing resource scheduling, based on the fuzzy programming theory, a fuzzy cloud resource scheduling model under timecost constraint was set up, the uncertain execution time of tasks is represented by the triangular fuzzy number, and the target is to minimize the average...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2019-02-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1641 |
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| _version_ | 1849233901112786944 |
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| author | LI Cheng-yan CAO Ke-han FENG Shi-xiang SUN Wei |
| author_facet | LI Cheng-yan CAO Ke-han FENG Shi-xiang SUN Wei |
| author_sort | LI Cheng-yan |
| collection | DOAJ |
| description | For the problem of cloud computing resource scheduling, based on the fuzzy programming theory, a fuzzy cloud resource scheduling model under timecost constraint was set up, the uncertain execution time of tasks is represented by the triangular fuzzy number, and the target is to minimize the average value and standard deviation of the evaluation function An improved chaotic ant colony algorithm was proposed to solve the model, the elitist strategy is introduced to optimize the pheromone updating, a chaotic mapping with infinite folding times is used for chaotic search, and the adaptive chaotic disturbance mechanism is designed to enhance the global searching ability The model and algorithm were tested on the Cloudsim platform, the reliability of the model was proved, and the experimental results showed that the proposed algorithm had better performance in convergence speed, solution ability and load balance |
| format | Article |
| id | doaj-art-59d76b219ada4a2eb1052ddf1b91de36 |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2019-02-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-59d76b219ada4a2eb1052ddf1b91de362025-08-20T04:03:21ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832019-02-012401859110.15938/j.jhust.2019.01.014Resource Scheduling with Uncertain Execution Time in Cloud ComputingLI Cheng-yan0CAO Ke-han1FENG Shi-xiang2SUN Wei3School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, ChinaFor the problem of cloud computing resource scheduling, based on the fuzzy programming theory, a fuzzy cloud resource scheduling model under timecost constraint was set up, the uncertain execution time of tasks is represented by the triangular fuzzy number, and the target is to minimize the average value and standard deviation of the evaluation function An improved chaotic ant colony algorithm was proposed to solve the model, the elitist strategy is introduced to optimize the pheromone updating, a chaotic mapping with infinite folding times is used for chaotic search, and the adaptive chaotic disturbance mechanism is designed to enhance the global searching ability The model and algorithm were tested on the Cloudsim platform, the reliability of the model was proved, and the experimental results showed that the proposed algorithm had better performance in convergence speed, solution ability and load balancehttps://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1641cloud computingresource schedulingfuzzy programmingchaotic disturbance |
| spellingShingle | LI Cheng-yan CAO Ke-han FENG Shi-xiang SUN Wei Resource Scheduling with Uncertain Execution Time in Cloud Computing Journal of Harbin University of Science and Technology cloud computing resource scheduling fuzzy programming chaotic disturbance |
| title | Resource Scheduling with Uncertain Execution Time in Cloud Computing |
| title_full | Resource Scheduling with Uncertain Execution Time in Cloud Computing |
| title_fullStr | Resource Scheduling with Uncertain Execution Time in Cloud Computing |
| title_full_unstemmed | Resource Scheduling with Uncertain Execution Time in Cloud Computing |
| title_short | Resource Scheduling with Uncertain Execution Time in Cloud Computing |
| title_sort | resource scheduling with uncertain execution time in cloud computing |
| topic | cloud computing resource scheduling fuzzy programming chaotic disturbance |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1641 |
| work_keys_str_mv | AT lichengyan resourceschedulingwithuncertainexecutiontimeincloudcomputing AT caokehan resourceschedulingwithuncertainexecutiontimeincloudcomputing AT fengshixiang resourceschedulingwithuncertainexecutiontimeincloudcomputing AT sunwei resourceschedulingwithuncertainexecutiontimeincloudcomputing |