ITR/NGS: Toward Autonomous Computing Platforms: System-Wide Hardware/Software Performance Monitoring and Adaptation

ITR/NGS：迈向自主计算平台：系统范围的硬件/软件性能监控和适应

• 批准号: 0325536
• 负责人: Anthony Reeves
• 金额: --
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-10-01 至 2009-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0325536&HistoricalAwards=false
• 关键词: ITR; NGS; Toward; Autonomous; Computing

The proposed research will develop a flexible and unifying framework for non-intrusive hardware monitoring of virtually any system component, to enable methods and tools to build systems that can be autonomous, self-aware, self-adapting, and self-healing. Building such systems requires the existence of flexible, introspective data acquisition mechanisms to determine the state of the system, to detect alfunctions or inefficiencies, and to provide the basis for appropriate adaptation (to steer system configuration and optimization). Whereas current systems provide only limited access to specific events (prohibiting system-wide event correlation and global state evaluation), we will provide:o System-wide, unified introspection as a building block for autonomic systems;o Data preprocessing on the actual monitoring probes (by leveraging reconfigurability);o Standardized access to performance information using high-level queries;o Integration of hardware and system software probes in a common framework;o Correlation of performance information from several sources to assemble global system statefor requested metrics;o Autonomic optimization of system components, including the Operating System (OS), runtime, and compiler;o Ability to optimize for performance, power savings, heat dissipation, security, and reliability, all within a single framework; The intellectual merit of the proposed work includes a) laying the architectural and system software foundations for introspective systems, b) developing and testing a design for non-intrusive, flexible hardware monitoring of system behavior, and c) demonstrating the effectiveness of our approach and design in three main ways. We will dynamically optimize interconnect performance for a DSMcluster; deploy plug-and-play monitoring modules for the K42 multiprocessor OS, and perform dynamic system reconfiguration based on the information gathered by these modules; and demonstrate via simulation the opportunities for dynamic adaptation within the processor core and memory hierarchy. The broader impact of this work includes distribution of our tools and infrastructure to the research community.

拟议的研究将开发一个灵活和统一的框架，用于对几乎任何系统组件进行非侵入式硬件监控，以使方法和工具能够构建可以自治，自我感知，自适应和自我修复的系统。建立这样的系统需要灵活的、内省的数据采集机制，以确定系统的状态，检测功能或效率低下，并为适当的调整（引导系统配置和优化）提供基础。而当前系统仅提供对特定事件的有限访问（禁止系统范围的事件关联和全局状态评估），我们将提供：o系统范围的统一内省，作为自主系统的构建块;o在实际监控探针上进行数据预处理o使用高层次查询标准化地访问性能信息;o在共同框架中集成硬件和系统软件探测器; o系统组件的自主优化，包括操作系统（OS）、运行时和编译器;o能够优化性能、节能、散热、安全性和可靠性，所有这些都在单个框架内;所提出的工作的智力价值包括：a）为内省系统奠定体系结构和系统软件基础，B）开发和测试非侵入性的、灵活的系统行为硬件监控设计，以及c）在三个主要方面展示我们的方法和设计的有效性。我们将动态优化DSM集群的互连性能;部署K42多处理器操作系统的即插即用监控模块，并根据这些模块收集的信息执行动态系统重新配置;并通过模拟演示处理器内核和内存层次结构中动态适应的机会。 这项工作的更广泛影响包括将我们的工具和基础设施分发给研究界。