CAREER: Real-Time Scheduling of Intelligent Applications

新兴的机器学习和数据驱动的应用程序正在为从消费产品到主要公共基础设施的设备和系统带来智能技术，新功能和自动决策。这些新功能需要实时调度，每个智能软件及其交互必须及时执行，以确保安全和成功运行。要有效地做到这一点，就需要对时间表安排方法采取创新办法。该项目将产生三个重要进展：（1）提高异构嵌入式硬件架构上数据密集型应用程序的实时性能，（2）利用面向数据的调度和高效系统设计的应用程序级要求，以及（3）使智能应用程序能够处理软件基础设施故障和动态环境条件。该项目将使整个互联网的更大能力，物联网（IoT）和网络物理系统，如智能汽车、智能建筑、工厂自动化和移动的健康。它将鼓励这些系统的更稳健的设计，使它们更容易建立，更节省资源的操作，更值得信赖和可靠。这将使在安全和及时性至关重要的应用中采用智能实时系统成为可能。该项目开发的工具将公开提供，作为工业界的设计工具和学院和大学的教育工具。此外，该研究将作为教育和培训计划的基础。该奖项反映了NSF的法定使命，并被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

Emerging machine learning and data-driven applications are bringing smart technology, new functionality, and automated decision-making to devices and systems ranging from consumer products to major public infrastructure. These new capabilities require real-time scheduling where each intelligent software and their interaction must be performed in a timely manner for safe and successful operation. Doing so effectively calls for innovative approaches to the scheduling methodologies. This project will produce three important advances: (1) improving the real-time performance of data-intensive applications on heterogeneous embedded hardware architectures, (2) exploiting application-level requirements for data-oriented scheduling and efficient system design, and (3) enabling intelligent applications to deal with software infrastructure failures and dynamic environmental conditions.This project will enable greater capabilities across the Internet of Things (IoT) and cyber-physical systems like smart cars, smart buildings, factory automation, and mobile health. It will encourage more robust design of these systems so that they are easier to build, more resource-efficient to operate, and more trustworthy and reliable. This will make it possible to adopt intelligent real-time systems in applications where safety and timeliness are essential. The tools developed in this project will be made publicly available, serving as a design tool for industry and an educational tool for colleges and universities. Further, the research will serve as the foundation for education and training programs.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.