Improved ant colony algorithm based cloud computing user task scheduling algorithm
In recent years,with the development of power information,more and more power applications and tasks are deployed in the cloud.Because of the dynamic heterogeneity of cloud resources and power applications,it is a challenge in the cloud computing system to realize resource division and task scheduli...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2020-02-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020047/ |
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| author | Sining LUO Hualong WANG Hongyu LI Wei PENG |
| author_facet | Sining LUO Hualong WANG Hongyu LI Wei PENG |
| author_sort | Sining LUO |
| collection | DOAJ |
| description | In recent years,with the development of power information,more and more power applications and tasks are deployed in the cloud.Because of the dynamic heterogeneity of cloud resources and power applications,it is a challenge in the cloud computing system to realize resource division and task scheduling.Power applications need to be able to achieve a rapid response and minimum completion time,and schedulers should consider the load of each cloud computing node to ensure the reliability of cloud computing.A task scheduling algorithm based on the algorithm of improving an ant colony was proposed to solve the problem of task scheduling in virtual machines.Through the improvement of the standard ant colony algorithm,the task scheduling time was reduced and load balancing was realized while minimizing the overall completion time.The results show that the algorithm can shorten the task scheduling time and realize the load balancing of cloud nodes,which provides technical basis for the optimization of power cloud computing. |
| format | Article |
| id | doaj-art-c5254a8ede304c8e8166f384a1bf4a3a |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2020-02-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-c5254a8ede304c8e8166f384a1bf4a3a2025-01-15T03:01:11ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012020-02-01369510059584866Improved ant colony algorithm based cloud computing user task scheduling algorithmSining LUOHualong WANGHongyu LIWei PENGIn recent years,with the development of power information,more and more power applications and tasks are deployed in the cloud.Because of the dynamic heterogeneity of cloud resources and power applications,it is a challenge in the cloud computing system to realize resource division and task scheduling.Power applications need to be able to achieve a rapid response and minimum completion time,and schedulers should consider the load of each cloud computing node to ensure the reliability of cloud computing.A task scheduling algorithm based on the algorithm of improving an ant colony was proposed to solve the problem of task scheduling in virtual machines.Through the improvement of the standard ant colony algorithm,the task scheduling time was reduced and load balancing was realized while minimizing the overall completion time.The results show that the algorithm can shorten the task scheduling time and realize the load balancing of cloud nodes,which provides technical basis for the optimization of power cloud computing.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020047/cloud computingtask schedulingload balancing |
| spellingShingle | Sining LUO Hualong WANG Hongyu LI Wei PENG Improved ant colony algorithm based cloud computing user task scheduling algorithm Dianxin kexue cloud computing task scheduling load balancing |
| title | Improved ant colony algorithm based cloud computing user task scheduling algorithm |
| title_full | Improved ant colony algorithm based cloud computing user task scheduling algorithm |
| title_fullStr | Improved ant colony algorithm based cloud computing user task scheduling algorithm |
| title_full_unstemmed | Improved ant colony algorithm based cloud computing user task scheduling algorithm |
| title_short | Improved ant colony algorithm based cloud computing user task scheduling algorithm |
| title_sort | improved ant colony algorithm based cloud computing user task scheduling algorithm |
| topic | cloud computing task scheduling load balancing |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020047/ |
| work_keys_str_mv | AT siningluo improvedantcolonyalgorithmbasedcloudcomputingusertaskschedulingalgorithm AT hualongwang improvedantcolonyalgorithmbasedcloudcomputingusertaskschedulingalgorithm AT hongyuli improvedantcolonyalgorithmbasedcloudcomputingusertaskschedulingalgorithm AT weipeng improvedantcolonyalgorithmbasedcloudcomputingusertaskschedulingalgorithm |