SHF: Medium: Conquering MPSoC Complexity with Principles of a Self-Aware Information Processing Factory

自我意识系统是反应性和主动性的，能够跳出框框思考，从而以可靠的方式处理不可预见的情况，而不像现有的系统那样设计受确定性程序规范的约束。自我意识是未来网络物理系统的一个关键特征，这些系统必须应对在开发时没有考虑到的场景。该项目将探索开销高效的自我感知硬件/软件系统的发展方向，同时保证实时行为、弹性、安全性和能效等关键特性。该项目对自我意识原则的研究，以实现面对动态和不可预见的变化的自主性，将对严重依赖高性能、低功耗和可靠计算的广泛网络物理应用领域产生重大影响。这些系统在克服医疗保健、安全、运输和工业自动化方面的关键社会挑战方面发挥着关键作用。该项目与布伦斯韦格工业大学和慕尼黑工业大学的德国合作伙伴的平行合作性质将培训不同的学生和研究人员群体，并通过让他们面对在不同社会和国际背景下提供自主IT服务的挑战来丰富他们的学习经验。该项目还将激励本科生和代表性不足的学生进行研究和研究生学习。学生将从接触和参与将认知引入多层CPS和物联网基础设施的新设计和开发范式的设计中受益匪浅。该项目引入了自我感知信息处理工厂(IPF)的概念，作为迈向网络物理系统(CPS)和物联网(IoT)中自主多处理器系统级芯片(MPSoC)平台的一步。其目标是将自我感知/自组织涌现的情景灵活性与分层自上而下控制的可预测性在整体多层方法中协同结合，类似于信息处理工厂。多个尺度--片上、运行时系统、应用--的感知信息将被智能地监控、融合和解释，以评估健康状态、减轻不利影响并使用一种既能管理复杂性又能实现保证的新型自感知控制回路层次结构来优化MPSoC的系统目标。此外，独特的可扩展分布式运行时验证体系结构将支持硬件支持的参数规范跨层监控。由此产生的方法协同覆盖了从低级VLSI电路到运行时操作系统和动态应用软件的多层抽象层次结构。该项目补充了德国布伦斯韦格工业大学和慕尼黑工业大学的工作，并利用在网络物理多核平台的硬件和软件层面上的自我意识和自我组织方面的研究努力。

Self-aware systems are reactive and proactive, and capable of thinking outside the box, thereby coping with unforeseen situations in a dependable manner, unlike existing systems that are designed subject to deterministic procedural specifications. Self-awareness is a critical feature for future cyber-physical systems which must cope with scenarios that were not conceived when they were developed. This project will explore directions for overhead-efficient self-aware HW/SW systems while guaranteeing critical properties such as real-time behaviors, resilience, security, and energy efficiency. The project's study of self-awareness principles to enable autonomy in the face of dynamic and unforeseen changes will significantly impact a wide range of cyber physical application domains that critically depend on high-performance, low power and dependable computing. These systems play a pivotal role for conquering key societal challenges in healthcare, safety, transportation and industrial automation. The parallel collaborative nature of this project with German partners at TU Braunschweig and TU Munich will train a diverse group of students and researchers and enrich their learning experiences by exposing them to the challenges of delivering autonomous IT services in different societal and international contexts. The project will also motivate undergraduate and underrepresented students to pursue research and graduate studies. Students will benefit tremendously from exposure to and involvement in the design of new design and development paradigms for introducing cognition into a multi-tiered CPS and IoT infrastructure.The project introduces the notion of a self-aware Information Processing Factory (IPF) as a step towards autonomous Multi-Processor System-on-Chip (MPSoC) platforms in Cyber-Physical Systems (CPS) and the Internet of Things (IoT). The objective is to synergistically merge the situational flexibility of self-aware/self-organizing emergence with the predictability of hierarchical top-down control in a holistic multi-layer approach, resembling an Information Processing Factory. Sensory information at multiple scales -- on-chip, run-time systems, applications -- will be monitored, fused, and interpreted intelligently to assess health status, mitigate adverse effects, and optimize system goals of the MPSoC using a novel hierarchy of self-aware control loops that can both manage complexity, as well as achieve guarantees. Additionally, a unique scalable distributed run-time verification architecture will enable hardware-supported cross-layer monitoring of parametric specifications. The resulting approach synergistically covers the multi-tiered abstraction hierarchy from low-level VLSI circuits to runtime OS and dynamic application software. The project complements efforts at TU Braunschweig and TU Munich in Germany, and leverages research efforts on self-awareness and self-organization at the hardware and software layers of cyber physical multicore platforms.