Data Placement Strategy of Scientific Workflow Based on Fuzzy Theory in Hybrid Cloud
A reasonable data placement strategy is essential to the efficient execution of scientific workflow in hybrid cloud environment.The traditional data placement strategy mainly focuses on the deterministic environment,but the data transmission time is uncertain due to the different load,bandwidth fluc...
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| Format: | Article |
| Language: | zho |
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Editorial office of Computer Science
2021-11-01
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| Series: | Jisuanji kexue |
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| Online Access: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-11-199.pdf |
| _version_ | 1818555897908035584 |
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| author | LIU Zhang-hui, ZHAO Xu, LIN Bing, CHEN Xing |
| author_facet | LIU Zhang-hui, ZHAO Xu, LIN Bing, CHEN Xing |
| author_sort | LIU Zhang-hui, ZHAO Xu, LIN Bing, CHEN Xing |
| collection | DOAJ |
| description | A reasonable data placement strategy is essential to the efficient execution of scientific workflow in hybrid cloud environment.The traditional data placement strategy mainly focuses on the deterministic environment,but the data transmission time is uncertain due to the different load,bandwidth fluctuation and network congestion between different data centers and computer characteristics in the actual network environment.To solve this problem,a fuzzy adaptive discrete particle swarm optimization algorithm based on the fuzzy theory and genetic algorithm operator (FGA-DPSO) is proposed to minimize the fuzzy transmission time of data,place the scientific workflow data reasonably and meet the privacy requirements of the data set and the capacity limit of the data center.The experimental results show that the algorithm can effectively reduce the fuzzy data transmission time of scientific workflow in hybrid cloud environment. |
| first_indexed | 2024-12-13T01:59:07Z |
| format | Article |
| id | doaj.art-5ac4b6f75c084b89bd040cb974f82898 |
| institution | Directory Open Access Journal |
| issn | 1002-137X |
| language | zho |
| last_indexed | 2024-12-13T01:59:07Z |
| publishDate | 2021-11-01 |
| publisher | Editorial office of Computer Science |
| record_format | Article |
| series | Jisuanji kexue |
| spelling | doaj.art-5ac4b6f75c084b89bd040cb974f828982022-12-22T00:03:19ZzhoEditorial office of Computer ScienceJisuanji kexue1002-137X2021-11-01481119920710.11896/jsjkx.200900009Data Placement Strategy of Scientific Workflow Based on Fuzzy Theory in Hybrid CloudLIU Zhang-hui, ZHAO Xu, LIN Bing, CHEN Xing01 College of Mathematics and Computer Science,Fuzhou University,Fuzhou 350116,China<br/>2 Fujian Key Laboratory of Network Computing and Intelligent Information Processing,Fuzhou 350116,China<br/>3 College of Physics and Energy,Fujian Normal University,Fuzhou 350117,ChinaA reasonable data placement strategy is essential to the efficient execution of scientific workflow in hybrid cloud environment.The traditional data placement strategy mainly focuses on the deterministic environment,but the data transmission time is uncertain due to the different load,bandwidth fluctuation and network congestion between different data centers and computer characteristics in the actual network environment.To solve this problem,a fuzzy adaptive discrete particle swarm optimization algorithm based on the fuzzy theory and genetic algorithm operator (FGA-DPSO) is proposed to minimize the fuzzy transmission time of data,place the scientific workflow data reasonably and meet the privacy requirements of the data set and the capacity limit of the data center.The experimental results show that the algorithm can effectively reduce the fuzzy data transmission time of scientific workflow in hybrid cloud environment.https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-11-199.pdfhybrid cloud|scientific workflow|data placement|fuzzy theory|time optimization |
| spellingShingle | LIU Zhang-hui, ZHAO Xu, LIN Bing, CHEN Xing Data Placement Strategy of Scientific Workflow Based on Fuzzy Theory in Hybrid Cloud Jisuanji kexue hybrid cloud|scientific workflow|data placement|fuzzy theory|time optimization |
| title | Data Placement Strategy of Scientific Workflow Based on Fuzzy Theory in Hybrid Cloud |
| title_full | Data Placement Strategy of Scientific Workflow Based on Fuzzy Theory in Hybrid Cloud |
| title_fullStr | Data Placement Strategy of Scientific Workflow Based on Fuzzy Theory in Hybrid Cloud |
| title_full_unstemmed | Data Placement Strategy of Scientific Workflow Based on Fuzzy Theory in Hybrid Cloud |
| title_short | Data Placement Strategy of Scientific Workflow Based on Fuzzy Theory in Hybrid Cloud |
| title_sort | data placement strategy of scientific workflow based on fuzzy theory in hybrid cloud |
| topic | hybrid cloud|scientific workflow|data placement|fuzzy theory|time optimization |
| url | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-11-199.pdf |
| work_keys_str_mv | AT liuzhanghuizhaoxulinbingchenxing dataplacementstrategyofscientificworkflowbasedonfuzzytheoryinhybridcloud |