CRII: CNS: Supporting Mixed-Criticality Real-Time Systems on Heterogeneous Platforms

CRII：CNS：支持异构平台上的混合关键实时系统

• 批准号: 2104181
• 负责人: Kecheng Yang
• 金额: $ 17.5万
• 依托单位: Texas State University - San Marcos
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2104181&HistoricalAwards=false
• 关键词: CRII; CNS; Supporting; Mixed; Criticality

With the thriving applications in modern computing systems, there is a trend toward designing and implementing such systems in a consolidated manner for both scalability and sustainability. This trend leads to: first, applications, or tasks, of different criticalities that are supported on a common shared hardware platform; second, such platforms consist of computing processors that have different functionalities and capabilities, or heterogeneous processors. These may significantly impact the temporal predictability of the system, which is crucial for real-time systems where temporal guarantees must be validated prior to runtime. This project will conduct exploratory research on the real-time scheduling of mixed-criticality (MC) tasks on heterogeneous processors. The real-time scheduling analysis will provide provable guarantees on the temporal behaviors of the system. This research will investigate holistic methods and techniques that address the consolidation in both aspects of tasks and processors. This work will result in new system models that represent the MC tasks and the heterogeneous processors in an integrated manner. Based on the models, new scheduling algorithms will be developed to efficiently allocate the computing resources while the required temporal guarantees for the MC tasks are satisfied. System prototypes will be implemented to demonstrate and evaluate the effectiveness of the models and algorithms. These new models, algorithms, and prototypes will advance the understanding of both MC and heterogeneous scheduling in real-time systems, and will enable consolidated real-time system designs. This further benefits the efficiency, scalability, and affordability of a wide range of applications in internet of things (IoT) and cyber-¬physical systems (CPS) where temporal constraints commonly exist. As being conducted in a large Hispanic Serving Institution (HSI), this project will promote science, technology, engineering, and math (STEM) education and research for students from underrepresented groups and broaden their participation in computing.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

随着现代计算系统中繁荣的应用，以合并方式设计和实施此类系统的趋势是为了可扩展性和可持续性。这种趋势导致：首先是在共享共享硬件平台上支持的不同关键问题的应用程序或任务；其次，此类平台由具有不同功能和功能的计算处理器组成，或异质处理器。这些项目可能会对该项目进行有关异质处理器混合批判性（MC）任务的实时调度的探索性研究。实时调度分析将为系统的临时行为提供可证明的保证。这项研究将研究整体方法和技术，以解决任务和处理器的两个方面的合并。这项工作将导致新的系统模型以集成方式代表MC任务和异质处理器。基于模型，将开发新的调度算法以有效地分配计算资源，同时满足MC任务所需的临时保证。系统原型将实施以证明和评估模型和算法的有效性。这些新模型，算法和原型将在实时系统中提高对MC和异质计划的理解，并将启用合并的实时系统设计。这进一步有利于物联网（IoT）和网络物理系统（CPS）中广泛应用的效率，可伸缩性和负担能力，而这些应用通常存在。该项目是在大型西班牙裔服务机构（HSI）中进行的，该项目将针对来自代表性不足的团体的学生促进科学，技术，工程和数学（STEM）教育和研究，并将其参与计算。该奖项反映了NSF的法规任务，并认为通过基金会的知识优点和广泛的cristia criperia crigtia criperia the Insportaution the Pression the Iss the Comperiation。

项目成果

Precise Mixed-Criticality Scheduling on Varying-Speed Multiprocessors

• DOI: 10.1109/tc.2022.3197078
• 发表时间: 2023-01
• 期刊: IEEE Transactions on Computers
• 影响因子: 3.7
• 作者: Sudharsan Vaidhun;Tianning She;Qijun Gu;Sajal K. Das;Kecheng Yang;Zhishan Guo

Scheduling Constrained-Deadline Tasks in Precise Mixed-Criticality Systems on a Varying-Speed Processor

• DOI: 10.1145/3534879.3534897
• 发表时间: 2022-06
• 期刊: Proceedings of the 30th International Conference on Real-Time Networks and Systems
• 作者: Tianning She;Zhishan Guo;Kecheng Yang

Reinforcement Learning Approaches for Racing and Object Avoidance on AWS DeepRacer

AWS DeepRacer 上用于赛车和物体躲避的强化学习方法

• DOI: 10.1109/compsac57700.2023.00129
• 发表时间: 2023
• 期刊: Proceedings of the 47th IEEE Annual International Computer Software and Applications Conference (COMPSAC
• 作者: McCalip, Jacob;Pradhan, Mandil;Yang, Kecheng
• 通讯作者: Yang, Kecheng

Towards Hard Real-Time and Energy-Efficient Virtualization for Many-Core Embedded Systems

• DOI: 10.1109/tc.2022.3207115
• 发表时间: 2023-01
• 期刊: IEEE Transactions on Computers
• 影响因子: 3.7
• 作者: Zhe Jiang;Kecheng Yang;Yunfeng Ma;N. Fisher;N. Audsley;Zheng Dong

AXI-IC^{RT}: Towards a Real-Time AXI-Interconnect for Highly Integrated SoCs

AXI-IC^{RT}：面向高度集成 SoC 的实时 AXI 互连

• DOI: 10.1109/tc.2022.3179227
• 发表时间: 2023
• 期刊: IEEE Transactions on Computers
• 影响因子: 3.7
• 作者: Jiang, Zhe;Yang, Kecheng;Fisher, Nathan;Gray, Ian;Audsley, Neil;Dong, Zheng
• 通讯作者: Dong, Zheng