Multi-objective task offloading algorithm for mobile cloud computing
Mobile devices with limited computing power and resources can offload intensive tasks to the cloud for execution,thus improving the computing capacity of mobile devices and reducing battery energy consumption.However,the existing researches cannot properly balance the application finish time and ene...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2019-09-01
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| Series: | 物联网学报 |
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| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00118/ |
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| author | Fuhong SONG Huanlai XING Wei PAN |
| author_facet | Fuhong SONG Huanlai XING Wei PAN |
| author_sort | Fuhong SONG |
| collection | DOAJ |
| description | Mobile devices with limited computing power and resources can offload intensive tasks to the cloud for execution,thus improving the computing capacity of mobile devices and reducing battery energy consumption.However,the existing researches cannot properly balance the application finish time and energy consumption of the mobile terminal when offloading tasks.An MOEA/D based algorithm was proposed to optimize the application finish time and energy consumption,and dynamic voltage frequency scaling technology was introduced into the MOEA/D to adjust the CPU clock frequency of mobile devices to further decrease the energy consumption without increasing the application finish time.The simulation results demonstrate that the proposed algorithm outperforms a number of existing algorithm in terms of the multi-objective performance. |
| format | Article |
| id | doaj-art-c775ad900eb94c80b7d877c607d7c5f2 |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2019-09-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-c775ad900eb94c80b7d877c607d7c5f22025-01-15T02:52:35ZzhoChina InfoCom Media Group物联网学报2096-37502019-09-013414959644892Multi-objective task offloading algorithm for mobile cloud computingFuhong SONGHuanlai XINGWei PANMobile devices with limited computing power and resources can offload intensive tasks to the cloud for execution,thus improving the computing capacity of mobile devices and reducing battery energy consumption.However,the existing researches cannot properly balance the application finish time and energy consumption of the mobile terminal when offloading tasks.An MOEA/D based algorithm was proposed to optimize the application finish time and energy consumption,and dynamic voltage frequency scaling technology was introduced into the MOEA/D to adjust the CPU clock frequency of mobile devices to further decrease the energy consumption without increasing the application finish time.The simulation results demonstrate that the proposed algorithm outperforms a number of existing algorithm in terms of the multi-objective performance.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00118/mobile cloud computingmobile devicemulti-objective evolutionary algorithmtask offloadingfinish timeenergy consumption |
| spellingShingle | Fuhong SONG Huanlai XING Wei PAN Multi-objective task offloading algorithm for mobile cloud computing 物联网学报 mobile cloud computing mobile device multi-objective evolutionary algorithm task offloading finish time energy consumption |
| title | Multi-objective task offloading algorithm for mobile cloud computing |
| title_full | Multi-objective task offloading algorithm for mobile cloud computing |
| title_fullStr | Multi-objective task offloading algorithm for mobile cloud computing |
| title_full_unstemmed | Multi-objective task offloading algorithm for mobile cloud computing |
| title_short | Multi-objective task offloading algorithm for mobile cloud computing |
| title_sort | multi objective task offloading algorithm for mobile cloud computing |
| topic | mobile cloud computing mobile device multi-objective evolutionary algorithm task offloading finish time energy consumption |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00118/ |
| work_keys_str_mv | AT fuhongsong multiobjectivetaskoffloadingalgorithmformobilecloudcomputing AT huanlaixing multiobjectivetaskoffloadingalgorithmformobilecloudcomputing AT weipan multiobjectivetaskoffloadingalgorithmformobilecloudcomputing |