COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories
Abstract With the dawn of Industry 5.0 upon us, the smart factory emerges as a pivotal element, playing a crucial role in the realm of intelligent manufacturing. Meanwhile, mobile edge computing is proposed to alleviate the computational burden presented by substantial workloads in smart factories....
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-11-01
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| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13677-024-00714-9 |
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| _version_ | 1850195775263342592 |
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| author | Yining Chen Kai Peng Chengfang Ling |
| author_facet | Yining Chen Kai Peng Chengfang Ling |
| author_sort | Yining Chen |
| collection | DOAJ |
| description | Abstract With the dawn of Industry 5.0 upon us, the smart factory emerges as a pivotal element, playing a crucial role in the realm of intelligent manufacturing. Meanwhile, mobile edge computing is proposed to alleviate the computational burden presented by substantial workloads in smart factories. Nonetheless, it is very challenging to effectively incorporate edge computing resources to improve the efficiency of resource deployment in smart factories. Accordingly, we devise a novel approach based on Proximal Policy Optimization algorithm with the Self-Attention Mechanism to implement computing resource allocation in MEC-Empowered Smart Factories. More specifically, the self-attention mechanism is incorporated to enable dynamic focus on state information, accelerates convergence and facilitates global control. A great number of experiments conducted on both simulated and real datasets have verified the superiority of our proposed approach compared to the state-of-the-art baselines. |
| format | Article |
| id | doaj-art-7914a943390141ca9b0afa436b4ee5f8 |
| institution | OA Journals |
| issn | 2192-113X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Cloud Computing: Advances, Systems and Applications |
| spelling | doaj-art-7914a943390141ca9b0afa436b4ee5f82025-08-20T02:13:40ZengSpringerOpenJournal of Cloud Computing: Advances, Systems and Applications2192-113X2024-11-0113112010.1186/s13677-024-00714-9COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factoriesYining Chen0Kai Peng1Chengfang Ling2College of Engineering, Huaqiao UniversityCollege of Engineering, Huaqiao UniversityCollege of Engineering, Huaqiao UniversityAbstract With the dawn of Industry 5.0 upon us, the smart factory emerges as a pivotal element, playing a crucial role in the realm of intelligent manufacturing. Meanwhile, mobile edge computing is proposed to alleviate the computational burden presented by substantial workloads in smart factories. Nonetheless, it is very challenging to effectively incorporate edge computing resources to improve the efficiency of resource deployment in smart factories. Accordingly, we devise a novel approach based on Proximal Policy Optimization algorithm with the Self-Attention Mechanism to implement computing resource allocation in MEC-Empowered Smart Factories. More specifically, the self-attention mechanism is incorporated to enable dynamic focus on state information, accelerates convergence and facilitates global control. A great number of experiments conducted on both simulated and real datasets have verified the superiority of our proposed approach compared to the state-of-the-art baselines.https://doi.org/10.1186/s13677-024-00714-9Smart factoryComputation offloadingProximal policy optimizationAttention mechanism |
| spellingShingle | Yining Chen Kai Peng Chengfang Ling COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories Journal of Cloud Computing: Advances, Systems and Applications Smart factory Computation offloading Proximal policy optimization Attention mechanism |
| title | COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories |
| title_full | COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories |
| title_fullStr | COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories |
| title_full_unstemmed | COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories |
| title_short | COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories |
| title_sort | copsa a computation offloading strategy based on ppo algorithm and self attention mechanism in mec empowered smart factories |
| topic | Smart factory Computation offloading Proximal policy optimization Attention mechanism |
| url | https://doi.org/10.1186/s13677-024-00714-9 |
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