CSR: Small: Collaborative Research: Reliability Driven Resource Management of Multi-Core Real-Time Embedded Systems

该项目旨在提高实时嵌入式系统的服务质量和寿命，特别是那些在多核平台上实现的系统。与性能和功耗等其他质量指标相比，可靠性是很难准确估计的，因为它在集成电路制造过程中受到设计决策、环境条件和工艺变化的影响。(1)开发一个可靠性建模和分析框架，能够高效、准确地确定设计和运行时管理决策对可靠性的影响。(2)开发了可靠性驱动的资源管理框架，包括实时任务分配和调度的运行时算法，以最大化系统寿命，同时保持较低的软错误率，以及自适应地调整算法的激活频率(即开销)的轻量级技术。(3)开发磨损状态监测技术和数据收集基础设施，以实现对需要长期现场系统部署的系统级可靠性模型的运行时改进和验证。本项目开发的技术将支持生产更可靠和/或更便宜的电子设备，使因终身故障过程而容易磨损的集成电路能够用于具有严格可靠性和性能要求的专用计算机。特别是，该项目旨在简化多核处理器在有最后期限的高可靠性计算应用中的使用，例如汽车、多媒体和医疗保健应用。这些应用程序历来采用多核处理器的速度很慢，尽管它们具有价格、性能和功耗方面的优势。我们认为，这在一定程度上是由于在如何控制和优化此类系统的可靠性方面存在知识空白，本项目将填补其中一些空白。行业研究人员和大学生在本科生和研究生层面的参与将导致研究成果的广泛传播。

The project aims to improve the quality of service and lifetime of real-timeembedded systems, particularly those implemented on multi-core platforms. Incontrast with many other quality metrics, such as performance and powerconsumption, reliability is difficult to accurately estimate because it isinfluenced by design decisions, environmental conditions, and process variationduring integrated circuit fabrication.This project consists of three main technical tasks. (1) Develop a reliabilitymodeling and analysis framework that can efficiently and accurately determinethe impact of design and runtime management decisions on reliability. (2)Develop a reliability-driven resource management framework, which includesruntime algorithms for assignment and scheduling of real-time tasks to maximizesystem lifetime while keeping soft error rates low, and a lightweight techniqueto adaptively adjust the activation frequency of the algorithms (i.e.,overhead). (3) Develop wear state monitoring techniques and data collectioninfrastructure to enable the runtime refinement and validation of system-levelreliability models that require long-term in-field system deployment.The techniques developed in this project will support the production of morereliable and/or less expensive electronic devices, enabling integratedcircuits, which are susceptible to wear due to lifetime fault processes to beused in special-purpose computers with strict reliability and performancerequirements. In particular, this project aims to ease the use of multicoreprocessors in high-reliability computing applications with deadlines, such asautomotive, multimedia, and health care applications. These applications havehistorically seen slow adoption of multicore processors, despite their price,performance, and power consumption benefits. We believe this is partially dueto gaps in knowledge of how to control and optimize reliability on suchsystems, some of which this project will fill. The involvement of both industryresearchers and university students at the undergraduate and graduate levelwill result in a broad dissemination of the research results.