A Dynamic Task Scheduling Algorithm for Airborne Device Clouds
The rapid development of mobile Internet has promoted the rapid rise of cloud computing technology. Mobile terminal devices have greatly expanded the service capacity of mobile terminals by migrating complex computing tasks to run in the cloud. However, in the process of data exchange between mobile...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/9922714 |
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| _version_ | 1832546210119942144 |
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| author | Bao Deng Zhengjun Zhai |
| author_facet | Bao Deng Zhengjun Zhai |
| author_sort | Bao Deng |
| collection | DOAJ |
| description | The rapid development of mobile Internet has promoted the rapid rise of cloud computing technology. Mobile terminal devices have greatly expanded the service capacity of mobile terminals by migrating complex computing tasks to run in the cloud. However, in the process of data exchange between mobile terminals and cloud computing centers, on the one hand, it consumes the limited power of mobile terminals, and on the other hand, it results in longer communication time, which negatively affects user QoE. Mobile cloud can effectively improve user QoE by shortening the data transmission distance, reducing the power consumption, and shortening the communication time at the same time. In this paper, we utilize the property that genetic algorithm can perform global search seeking the global optimal solution and construct a dynamic task scheduling model by combining the device-cloud link. The task scheduling model based on genetic algorithm and random scheduling algorithm is compared through comparison experiments, which show that the assignment time of the task scheduling model based on genetic algorithm is shortened by 11.82% to 48.51% and the energy consumption is reduced by 22.28% to 47.52% under different load conditions. |
| format | Article |
| id | doaj-art-8f164070634b4619a5207d742e4b6493 |
| institution | Kabale University |
| issn | 1687-5974 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-8f164070634b4619a5207d742e4b64932025-02-03T07:23:41ZengWileyInternational Journal of Aerospace Engineering1687-59742024-01-01202410.1155/2024/9922714A Dynamic Task Scheduling Algorithm for Airborne Device CloudsBao Deng0Zhengjun Zhai1School of Computer Science and EngineeringSchool of Computer Science and EngineeringThe rapid development of mobile Internet has promoted the rapid rise of cloud computing technology. Mobile terminal devices have greatly expanded the service capacity of mobile terminals by migrating complex computing tasks to run in the cloud. However, in the process of data exchange between mobile terminals and cloud computing centers, on the one hand, it consumes the limited power of mobile terminals, and on the other hand, it results in longer communication time, which negatively affects user QoE. Mobile cloud can effectively improve user QoE by shortening the data transmission distance, reducing the power consumption, and shortening the communication time at the same time. In this paper, we utilize the property that genetic algorithm can perform global search seeking the global optimal solution and construct a dynamic task scheduling model by combining the device-cloud link. The task scheduling model based on genetic algorithm and random scheduling algorithm is compared through comparison experiments, which show that the assignment time of the task scheduling model based on genetic algorithm is shortened by 11.82% to 48.51% and the energy consumption is reduced by 22.28% to 47.52% under different load conditions.http://dx.doi.org/10.1155/2024/9922714 |
| spellingShingle | Bao Deng Zhengjun Zhai A Dynamic Task Scheduling Algorithm for Airborne Device Clouds International Journal of Aerospace Engineering |
| title | A Dynamic Task Scheduling Algorithm for Airborne Device Clouds |
| title_full | A Dynamic Task Scheduling Algorithm for Airborne Device Clouds |
| title_fullStr | A Dynamic Task Scheduling Algorithm for Airborne Device Clouds |
| title_full_unstemmed | A Dynamic Task Scheduling Algorithm for Airborne Device Clouds |
| title_short | A Dynamic Task Scheduling Algorithm for Airborne Device Clouds |
| title_sort | dynamic task scheduling algorithm for airborne device clouds |
| url | http://dx.doi.org/10.1155/2024/9922714 |
| work_keys_str_mv | AT baodeng adynamictaskschedulingalgorithmforairbornedeviceclouds AT zhengjunzhai adynamictaskschedulingalgorithmforairbornedeviceclouds AT baodeng dynamictaskschedulingalgorithmforairbornedeviceclouds AT zhengjunzhai dynamictaskschedulingalgorithmforairbornedeviceclouds |