A Task Equalization Allocation Algorithm Incorporating Blocking Estimation and Resource Similarity Analysis for Vehicle Control Real-Time Systems
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909793142177792 |
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| author | Duan, Qianlong Hao, Bide Zhou, Fan Fei, Chen Yang, Shichun |
| author_facet | Duan, Qianlong Hao, Bide Zhou, Fan Fei, Chen Yang, Shichun |
| contents | In multi-core real-time vehicle control systems, synchronization blocking and resource contention pose critical challenges due to increasing task parallelism and shared resource access. These issues significantly degrade system schedulability and real-time performance, as traditional task allocation algorithms often overlook blocking impacts, leading to high scheduling failure rates under heavy loads. To address this, we propose the BR-WFD algorithm, which integrates blocking time estimation and resource similarity analysis. The algorithm minimizes global blocking overhead by prioritizing tasks with high synchronization sensitivity and aggregating shared-resource-accessing tasks onto the same core. Extensive simulations show that BR-WFD reduces required processor cores by 11\% to 28\% and maintains a 15\% to 20\% higher schedulable ratio compared to traditional methods under high-load and resource-competitive scenarios. This demonstrates its effectiveness in enhancing real-time performance and resource efficiency for multi-core task scheduling in intelligent driving systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_14086 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Task Equalization Allocation Algorithm Incorporating Blocking Estimation and Resource Similarity Analysis for Vehicle Control Real-Time Systems Duan, Qianlong Hao, Bide Zhou, Fan Fei, Chen Yang, Shichun Operating Systems In multi-core real-time vehicle control systems, synchronization blocking and resource contention pose critical challenges due to increasing task parallelism and shared resource access. These issues significantly degrade system schedulability and real-time performance, as traditional task allocation algorithms often overlook blocking impacts, leading to high scheduling failure rates under heavy loads. To address this, we propose the BR-WFD algorithm, which integrates blocking time estimation and resource similarity analysis. The algorithm minimizes global blocking overhead by prioritizing tasks with high synchronization sensitivity and aggregating shared-resource-accessing tasks onto the same core. Extensive simulations show that BR-WFD reduces required processor cores by 11\% to 28\% and maintains a 15\% to 20\% higher schedulable ratio compared to traditional methods under high-load and resource-competitive scenarios. This demonstrates its effectiveness in enhancing real-time performance and resource efficiency for multi-core task scheduling in intelligent driving systems. |
| title | A Task Equalization Allocation Algorithm Incorporating Blocking Estimation and Resource Similarity Analysis for Vehicle Control Real-Time Systems |
| topic | Operating Systems |
| url | https://arxiv.org/abs/2509.14086 |