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GPU云资源预约式智能调度技术研究

张云鹏 臧亚楠 田秋雨

舰船电子工程2025,Vol.45Issue(2):119-123,5.
舰船电子工程2025,Vol.45Issue(2):119-123,5.DOI:10.3969/j.issn.1672-9730.2025.02.025

GPU云资源预约式智能调度技术研究

Research on Intelligent Scheduling of GPU Cloud Resources with Reservation-based System

张云鹏 1臧亚楠 2田秋雨3

作者信息

  • 1. 联合作战学院 石家庄 050000
  • 2. 郑州大学 郑州 450000
  • 3. 中科南京信息高铁研究院 南京 210000
  • 折叠

摘要

Abstract

A GPU cloud resource reservation based intelligent scheduling technology(DACO)is proposed to address the im-balance between supply and demand of GPU cloud resources and the limitations of real-time scheduling strategies.This technology consists of two parts,which are a prediction duration module and a scheduling module.The proposed technology is tested by Analog verification,and the results show that the proposed technology can effectively improve resource utilization and task response time un-der the condition of ensuring the completion rate before the deadline.

关键词

GPU调度/蚁群算法/机器学习

Key words

GPU scheduling/ant colony algorithm/machine learning

分类

信息技术与安全科学

引用本文复制引用

张云鹏,臧亚楠,田秋雨..GPU云资源预约式智能调度技术研究[J].舰船电子工程,2025,45(2):119-123,5.

基金项目

江苏省重大科研设施预研筹建项目(编号:BM2021800)资助. (编号:BM2021800)

舰船电子工程

1672-9730

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