Research on Image Processing Resource Reconstruction Based on Load Balancing Strategy
With the development of intelligent vehicles, the vehicle image processing system has put forward increasing demand for computing resource utilization efficiency and real-time processing. However, the traditional information processing method that binds software and hardware severely restricts the e...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/13/6/1027 |
| _version_ | 1797241410902032384 |
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| author | Yuxiao Deng Jingyu Liu Yang Zhou |
| author_facet | Yuxiao Deng Jingyu Liu Yang Zhou |
| author_sort | Yuxiao Deng |
| collection | DOAJ |
| description | With the development of intelligent vehicles, the vehicle image processing system has put forward increasing demand for computing resource utilization efficiency and real-time processing. However, the traditional information processing method that binds software and hardware severely restricts the efficient use of image processing resources. In order to solve this problem, this paper proposes a resource reconstruction scheme based on a load balancing strategy, which can realize unified management and dynamic allocation of image processing resources by establishing a system resource view. Then, this paper builds a physical verification platform and constructs a comparative verification experiment to verify the effectiveness of the resource reconstruction scheme. Experimental results prove that this resource reconstruction scheme can effectively improve the resource utilization efficiency of multi-core digital signal processing (DSP), realize software-defined hardware functions, and optimize the real-time performance of parallel processing. |
| first_indexed | 2024-04-24T18:22:53Z |
| format | Article |
| id | doaj.art-e07b491991bc44929a7faf3cefd224ef |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-04-24T18:22:53Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-e07b491991bc44929a7faf3cefd224ef2024-03-27T13:34:47ZengMDPI AGElectronics2079-92922024-03-01136102710.3390/electronics13061027Research on Image Processing Resource Reconstruction Based on Load Balancing StrategyYuxiao Deng0Jingyu Liu1Yang Zhou2Beijing Institute of Control and Electronic Technology, Beijing 102300, ChinaBeijing Institute of Control and Electronic Technology, Beijing 102300, ChinaSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, ChinaWith the development of intelligent vehicles, the vehicle image processing system has put forward increasing demand for computing resource utilization efficiency and real-time processing. However, the traditional information processing method that binds software and hardware severely restricts the efficient use of image processing resources. In order to solve this problem, this paper proposes a resource reconstruction scheme based on a load balancing strategy, which can realize unified management and dynamic allocation of image processing resources by establishing a system resource view. Then, this paper builds a physical verification platform and constructs a comparative verification experiment to verify the effectiveness of the resource reconstruction scheme. Experimental results prove that this resource reconstruction scheme can effectively improve the resource utilization efficiency of multi-core digital signal processing (DSP), realize software-defined hardware functions, and optimize the real-time performance of parallel processing.https://www.mdpi.com/2079-9292/13/6/1027resource reconstructionmulti-core digital signal processingload balancingtask scheduling algorithm |
| spellingShingle | Yuxiao Deng Jingyu Liu Yang Zhou Research on Image Processing Resource Reconstruction Based on Load Balancing Strategy Electronics resource reconstruction multi-core digital signal processing load balancing task scheduling algorithm |
| title | Research on Image Processing Resource Reconstruction Based on Load Balancing Strategy |
| title_full | Research on Image Processing Resource Reconstruction Based on Load Balancing Strategy |
| title_fullStr | Research on Image Processing Resource Reconstruction Based on Load Balancing Strategy |
| title_full_unstemmed | Research on Image Processing Resource Reconstruction Based on Load Balancing Strategy |
| title_short | Research on Image Processing Resource Reconstruction Based on Load Balancing Strategy |
| title_sort | research on image processing resource reconstruction based on load balancing strategy |
| topic | resource reconstruction multi-core digital signal processing load balancing task scheduling algorithm |
| url | https://www.mdpi.com/2079-9292/13/6/1027 |
| work_keys_str_mv | AT yuxiaodeng researchonimageprocessingresourcereconstructionbasedonloadbalancingstrategy AT jingyuliu researchonimageprocessingresourcereconstructionbasedonloadbalancingstrategy AT yangzhou researchonimageprocessingresourcereconstructionbasedonloadbalancingstrategy |