边缘计算中异质多核处理器的节能任务调度
Yanchun Liu1, Hongxue Qu2, Shuang Chen2
1Department of Computer and Software Engineering, Shandong College of Electronic Technology, Jinan, 250200, Shandong, China. liuyanchun@sdcet.edu.cn.
Scientific reports
|April 8, 2025
概括
本研究介绍了一种新的算法,用于在边缘计算中的异质多核处理器 (HMP) 上进行节能任务调度. 该方法显著减少了能源消耗,同时确保任务达到最后期限.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 能源系统 能源系统
背景情况:
- 边缘计算需要在异质多核处理器 (HMP) 上高效的资源管理.
- 现有的任务调度和动态电压和频率缩放 (DVFS) 方法缺乏能源效率的综合方法.
- 反应式工作负载适应和能源预测本身并不能充分解决HMPs中的能源性能权衡问题.
研究的目的:
- 开发一种新的算法,用于边缘计算环境中的HMP节能任务调度.
- 为了有效地整合任务优先级,核心意识映射和预测DVFS.
- 为了减少能源消耗,同时最大限度地减少最后期限的错误.
主要方法:
- 提出了一个新的算法,结合任务优先级,核心意识映射和预测动态电压和频率缩放 (DVFS).
- 在真实HMP平台上对最先进的方法进行算法的性能评估.
- 在不同的工作负载下评估能源消耗和最后期限错误率.
主要成果:
- 与现有方法相比,实现了20.9%的能源消耗降低.
- 保持了2.4%的低期限错误率.
- 证明了在HMP平台上的可扩展性和适应性.
结论:
- 拟议的算法为HMP边缘计算的节能任务调度提供了显著的进步.
- 成功平衡了性能要求 (较低的截止日期错误率) 与大幅节省能源.
- 为现实世界中异质的多核处理器系统提供了实用且可适应的解决方案.
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