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

自我意识系统具有反应性和主动性，能够跳出固有思维模式，因此能够以可靠的方式应对不可预见的情况，而不像现有系统那样是根据确定性的程序规范设计的。自我意识是未来网络物理系统的一个关键特征，它必须应对在开发时没有想到的场景。该项目将探索开销高效的自我感知硬件/软件系统的方向，同时保证实时行为、弹性、安全性和能源效率等关键属性。该项目对自我意识原则的研究，将在面对动态和不可预见的变化时实现自主，这将对广泛的网络物理应用领域产生重大影响，这些领域严重依赖于高性能、低功耗和可靠的计算。这些系统在解决医疗保健、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。该项目与德国布伦瑞克工业大学和慕尼黑工业大学的合作伙伴并行合作，将培养多样化的学生和研究人员，并通过让他们接触在不同社会和国际背景下提供自主IT服务的挑战，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新的设计和开发范例的设计中受益匪浅，这些范例将认知引入多层次的CPS和物联网基础设施。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）中自主多处理器片上系统（MPSoC）平台的一步。目标是协同合并自我意识/自组织出现的情境灵活性与整体多层方法中分层自上而下控制的可预测性，类似于信息处理工厂。多尺度（片上、运行时系统、应用程序）的传感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，并使用一种新的自我意识控制回路层次结构优化MPSoC的系统目标，这种结构既可以管理复杂性，又可以实现保证。此外，一个独特的可伸缩的分布式运行时验证体系结构将支持硬件支持的参数规范的跨层监控。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。该项目补充了德国不伦瑞克工业大学和慕尼黑工业大学的工作，并利用了网络物理多核平台硬件和软件层的自我意识和自组织研究工作。

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.