CAREER: An Integrated Scheduling Framework for Multicore Based Real-Time Embedded Systems

职业：基于多核的实时嵌入式系统的集成调度框架

• 批准号: 0953005
• 负责人: Dakai Zhu
• 金额: $ 40万
• 依托单位: University of Texas at San Antonio
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2016-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0953005&HistoricalAwards=false
• 关键词: CAREER; Integrated; Scheduling; Framework; Multicore

The goal of this CAREER project is to design and develop an integrated scheduling framework for networked multicore-based control systems in smart vehicles. The advanced functionalities (such as stability control and collision avoidance) in modern vehicles impose high computational demand on their electronic control systems, which can be powered by multicore processors to mitigate their increasing complexity. However, the existing scheduling theory and techniques have fallen short of supporting such networked multicore-based control systems, especially considering the human-related factors and dynamic environments of smart vehicles.This project undertakes a comprehensive study of resource management techniques and scheduling algorithms to efficiently schedule various real-time applications and effectively utilize the computation power in networked multicore-based smart vehicle control systems. First, a hierarchical control architecture with a simplified high-level master controller is being investigated to achieve accurate situational awareness and ensure prompt response. Second, to address the uncertainty in dynamic environment, distributed and multicore-aware elastic real-time scheduling algorithms are being developed that can adaptively adjust the invocation interval of various control tasks for schedulability and stability. Moreover, criticality-aware scheduling algorithms are being developed that consider the variable importance of control tasks under different situations. Finally, energy-efficient multicore scheduling algorithms and battery management schemes for hybrid/electric smart vehicles are being investigated.The design and development of the proposed scheduling framework has a direct economic and societal impact, which can reduce car accidents and thus save lives. Moreover, with the development of new curricula on cyber-physical systems, this project also provides abundant topics and learning opportunities for under-represented students.

该职业项目的目的是为智能车辆中的基于网络的多核控制系统设计和开发一个集成的调度框架。现代车辆中的高级功能（例如稳定性控制和避免碰撞）对其电子控制系统施加了很高的计算需求，可以通过多层处理器为减轻其增长的复杂性提供动力。但是，现有的调度理论和技术缺乏支持这种网络基于多核心的控制系统，尤其是考虑到与人类相关的因素和智能车辆的动态环境。该项目对资源管理技术进行了全面的研究，并计划算法安排算法以有效地安排各种实时应用程序，并有效地安排了各种实时的智能智能控制系统。首先，正在研究具有简化高级主控制器的层次控制体系结构，以实现准确的情境意识并确保及时响应。其次，为了解决动态环境中的不确定性，正在开发分布式和多重意识的弹性实时调度算法，可以自适应地调整各种控制任务的调用间隔，以确定性和稳定性。此外，正在开发批判性感知的调度算法，这些算法考虑了在不同情况下控制任务的可变重要性。最后，正在研究用于混合/电动智能车辆的节能多项调度算法和电池管理方案。拟议的调度框架的设计和开发具有直接的经济和社会影响，这可以减少汽车事故，从而挽救生命。此外，随着网络物理系统的新课程的开发，该项目还为代表性不足的学生提供了丰富的主题和学习机会。