Research on elite hierarchical task offloading strategy based on reinforcement learning in edge-cloud collaboration scenario
With the development of 5G and the enrichment of application functions, applications have put forward higher requirements on the computing capabilities of terminal devices.In order to improve the computing capabilities of terminal devices on applications and reduce the processing time of tasks, it i...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2022-03-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2022.00258 |
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| _version_ | 1850212418312994816 |
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| author | Juan FANG Zhiyuan YE Mengyuan ZHANG Jiamei SHI Ziyi TENG |
| author_facet | Juan FANG Zhiyuan YE Mengyuan ZHANG Jiamei SHI Ziyi TENG |
| author_sort | Juan FANG |
| collection | DOAJ |
| description | With the development of 5G and the enrichment of application functions, applications have put forward higher requirements on the computing capabilities of terminal devices.In order to improve the computing capabilities of terminal devices on applications and reduce the processing time of tasks, it is aimed at mobile edge computing environments, a task offloading method for edge-cloud collaboration was proposed，and an elite hierarchical evolutionary algorithm combined with reinforcement learning (RL-EHEA) was designed to perform offloading decisions, so that multiple tasks with dependencies and deadlines compete for computing resources.The simulation experiment results show that, compared with genetic algorithm (GA) and elite genetic algorithm (EGA), RL-EHEA can shorten task processing time and obtain better resource allocation strategy. |
| format | Article |
| id | doaj-art-c444f2a9b9324a1abc155bff22e4e0fa |
| institution | OA Journals |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2022-03-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-c444f2a9b9324a1abc155bff22e4e0fa2025-08-20T02:09:21ZzhoChina InfoCom Media Group物联网学报2096-37502022-03-0169110059648908Research on elite hierarchical task offloading strategy based on reinforcement learning in edge-cloud collaboration scenarioJuan FANGZhiyuan YEMengyuan ZHANGJiamei SHIZiyi TENGWith the development of 5G and the enrichment of application functions, applications have put forward higher requirements on the computing capabilities of terminal devices.In order to improve the computing capabilities of terminal devices on applications and reduce the processing time of tasks, it is aimed at mobile edge computing environments, a task offloading method for edge-cloud collaboration was proposed，and an elite hierarchical evolutionary algorithm combined with reinforcement learning (RL-EHEA) was designed to perform offloading decisions, so that multiple tasks with dependencies and deadlines compete for computing resources.The simulation experiment results show that, compared with genetic algorithm (GA) and elite genetic algorithm (EGA), RL-EHEA can shorten task processing time and obtain better resource allocation strategy.http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2022.00258mobile edge computing;task offloading;edge-cloud collaboration;evolutionary algorithm;serial task |
| spellingShingle | Juan FANG Zhiyuan YE Mengyuan ZHANG Jiamei SHI Ziyi TENG Research on elite hierarchical task offloading strategy based on reinforcement learning in edge-cloud collaboration scenario 物联网学报 mobile edge computing;task offloading;edge-cloud collaboration;evolutionary algorithm;serial task |
| title | Research on elite hierarchical task offloading strategy based on reinforcement learning in edge-cloud collaboration scenario |
| title_full | Research on elite hierarchical task offloading strategy based on reinforcement learning in edge-cloud collaboration scenario |
| title_fullStr | Research on elite hierarchical task offloading strategy based on reinforcement learning in edge-cloud collaboration scenario |
| title_full_unstemmed | Research on elite hierarchical task offloading strategy based on reinforcement learning in edge-cloud collaboration scenario |
| title_short | Research on elite hierarchical task offloading strategy based on reinforcement learning in edge-cloud collaboration scenario |
| title_sort | research on elite hierarchical task offloading strategy based on reinforcement learning in edge cloud collaboration scenario |
| topic | mobile edge computing;task offloading;edge-cloud collaboration;evolutionary algorithm;serial task |
| url | http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2022.00258 |
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