面向任务协同的异构多核嵌入式系统实时调度方法
A Real Time Scheduling Method for Heterogeneous Multicore Embedded Systems Oriented to Task Collaboration
程玮 1杨智玲1
作者信息
- 1. 厦门海洋职业技术学院,福建 厦门 361100;厦门市智慧渔业重点实验室,福建 厦门 361100
- 折叠
摘要
以往的异构多核嵌入式系统实时调度方法由于仅设置了系统实时调度模型的单项参数,导致系统调度时间过长.本文设计了面向任务协同的异构多核嵌入式系统实时调度方法.面向任务协同构建嵌入式系统实时调度模型,计算系统任务节点的传输情况,构建系统实时调度的数学模型,对构建的实时调度模型中的任务数据信息进行汇集,并进行自适应分析处理,以此为基础,设置实时调度模型的时间均衡控制参数和安全性系数,从而实现嵌入式系统的实时调度.通过上述设计,完成对异构多核嵌入式系统实时调度方法的设计.在仿真实验中,与以往的异构多核嵌入式系统实时调度方法相比,本文设计的面向任务协同的异构多核嵌入式系统实时调度方法的调度时间最长仅为 5s,调度时间更短.
Abstract
Previous real-time scheduling methods for heterogeneous multi-core embedded systems resulted in excessively long system scheduling time due to setting single parameters of the real-time scheduling model.Therefore,a real-time scheduling method for hetero-geneous multi-core embedded systems oriented towards task collaboration was designed.Firstly,a real-time scheduling model for em-bedded systems is constructed for task collaboration.Then,the transmission status of system task nodes is calculated,and a mathematical model for real-time scheduling is constructed.The task data information in the constructed real-time scheduling model is collected and adaptively analyzed and processed.Based on this,the time balance control parameters and security coefficients of the real-time schedu-ling model are set to achieve real-time scheduling of embedded systems.Through the above design,the design of a real-time scheduling method for heterogeneous multi-core embedded systems is completed.In simulation experiments,compared with previous real-time scheduling methods for heterogeneous multi-core embedded systems,the designed real-time scheduling method for task collaboration o-riented heterogeneous multi-core embedded systems has a maximum scheduling time of only 5 seconds and a shorter scheduling time.
关键词
任务协同/异构多核/嵌入式系统/实时调度/方法设计Key words
task collaboration/heterogeneous multi-core/embedded system/real time scheduling/method design引用本文复制引用
基金项目
中国高校产学研创新基金新一代信息技术创新项目(2021ITA10012)
福建省海洋经济发展专项资金项目(FJHJF-L-2021-12)
厦门海洋职业技术学院高层次人才研究项目(KYG202101)
出版年
2024
NETL
NSTL
万方数据