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严格的要求，而这些要求的保证对于它们的正常运行是必不可少的。近年来，许多DRE系统向Internet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有很大变化。这类系统需要从经典的实时计算模式转变为动态处理工作负载变化的自适应解决方案。这项职业研究开发了自适应服务质量控制，这是自适应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、形式化模型和分析技术，以及通过分布式软件反馈控制循环集成多个自适应策略的中间件体系结构。这项研究将对DRE系统领域产生重大影响，因为它将使DRE系统在运行条件发生巨大变化和系统故障的情况下仍能实现并保持关键的性能保证。因此，关键任务DRE系统将能够在各种高度不可预测的环境中提供更强大、更可靠的服务。

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.