NGS: A Compiler-Enabled Model- and Measurement-Driven Adaptation Environment for Dependability and Performance

NGS：编译器支持的模型和测量驱动的适应环境，可提高可靠性和性能

• 批准号: 0406351
• 负责人: William Sanders
• 金额: $ 120万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-01 至 2008-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0406351&HistoricalAwards=false
• 关键词: NGS; Compiler; Enabled; Model; Measurement

Abstract: CNS-0406351Next-generation parallel and distributed computing must be dependable and have predictable performance in order to meet the requirements of increasingly complex scientific and commercial applications. The large-scale nature and changing user requirements of such applications, coupled with the changing fault environment and workloads in which they must operate, dictate that their dependability and performance must be managed in an online fashion, reactingto changes in anticipated and observed faults, demands placed on the system, and changes in specified dependability, performance, and/or functional requirements. This project will create a compiler-enabled model- and measurement-driven adaptation environment that allows distributed applications to perform as expected despite faults that may occur. Achieving those capabilities will require fundamental advances in and synergistic combinations between 1) compiler-based flexible dependability mechanisms, 2) efficient online model-based prediction and control, and 3) measurement-driven and compiler-enabled early error detection. The project will validate and apply the adaptation environment by using it for two important applications from the scientific and commercial domains: the CARMA (Combined Array for Research in Millimeter-Wave Astronomy) image pipeline, a data-intensive Grid application for radio astronomy, and iMobile, an enterprise-scale mobile services platform.

摘要：CNS-0406351下一代并行和分布式计算必须是可靠的，并具有可预测的性能，以满足日益复杂的科学和商业应用的要求。这些应用程序的大规模性质和不断变化的用户需求，加上不断变化的故障环境和工作负载，他们必须运行，决定了他们的可靠性和性能必须以在线方式管理，对预期和观察到的故障，对系统的需求，以及指定的可靠性，性能和/或功能要求的变化做出反应。这个项目将创建一个编译器启用的模型和测量驱动的适应环境，允许分布式应用程序执行预期的，尽管可能发生的故障。实现这些能力将需要以下方面的根本性进步和协同组合：1）基于编译器的灵活可靠性机制，2）基于模型的有效在线预测和控制，以及3）测量驱动和编译器启用的早期错误检测。 该项目将通过将适应环境用于科学和商业领域的两个重要应用程序来验证和应用该环境：CARMA（毫米波天文学研究组合阵列）图像管道，这是一个用于射电天文学的数据密集型网格应用程序，以及i移动的，这是一个企业级移动的服务平台。