CAREER: Adaptive Quality of Service Control in Distributed Real-Time Embedded Systems

分布式实时嵌入式（DRE）系统在灾难恢复指挥与控制、电网管理、敏捷制造等关键任务应用中发挥着至关重要的作用。这些应用程序对端到端的及时性和可用性有着严格的要求，而这对它们的正常运行至关重要。近年来，许多DRE系统向互联网和易变的物理环境开放，在这些环境中，系统工作负载在运行时可能会发生显著变化。这样的系统需要从经典的实时计算到动态处理工作负载变化的自适应解决方案的范式转变。本CAREER研究开发自适应服务质量控制，自适应DRE系统的控制理论框架。该框架包括一套自适应策略和算法，正式的模型和分析技术，和一个中间件架构，通过分布式软件反馈控制回路集成多个自适应策略。这项研究将对DRE系统领域产生重大影响，因为它将使DRE系统能够在运行条件和系统故障发生剧烈变化的情况下实现并保持关键的性能保证。因此，任务关键型销毁重复利用系统将能够在各种高度不可预测的环境中提供更加强大和可靠的服务。

Distributed real-time embedded (DRE) systems play a crucial role in many mission-critical applications such as disaster recovery command and control, power grid management, and agile manufacturing. These applications have stringent requirements for end-to-end timeliness and availability whose assurance is essential to their proper operation. In recent years, many DRE systems become open to the Internet and volatile physical environments where system workloads may vary significantly at run-time. Such systems require a paradigm shift from classical real-time computing to adaptive solutions that handle workload variations dynamically. This CAREER research develops adaptive Quality of Service control, a control-theoretic framework for adaptive DRE systems. This framework includes a suite of adaptive strategies and algorithms, formal models and analysis techniques, and a middleware architecture that integrates multiple adaptation strategies via distributed software feedback control loops. This research will significantly impact the field of DRE systems as it will enable DRE systems to achieve and maintain critical performance assurances despite dramatic changes in operational conditions and system failures. As a result, mission-critical DRE systems will be able to provide significantly more robust and reliable services in a broad range of highly unpredictable environments.