CAREER: An Infrastructure in Support of Configurable, Consistent, Interactive Computational Steering

事业：支持可配置、一致、交互式计算指导的基础设施

• 批准号: 9734103
• 负责人: Eileen Kraemer
• 金额: $ 10.39万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-05-15 至 1998-12-08
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9734103&HistoricalAwards=false
• 关键词: CAREER; Infrastructure; Support; Configurable; Consistent

9734103 Interactive steering permits users to monitor a program's execution and adjust application parameters and resource allocation in an online fashion. Steering tools must address issues related to the consistency, lag, scalability, and induced perturbation of monitoring, display, and interaction components. However, the ideal balance among these concerns varies with execution environment and target application. Thus, configurability is an important issue. This research focuses on the design and development of infrastructure for a steering environment that permits users to specify the configuration to provide the desired balance among consistency, lag, and perturbation. This project includes the development of modular algorithms for the collection of snapshots with varying degrees of consistency, and algorithms that permit the consistent application of changes to the executing program, while minimizing resulting lag and perturbation. These algorithms for consistent monitoring and steering build on existing work on snapshot algorithms, and extend this work from the realm of consistent observation of distributed systems to ensuring consistency in the application of changes to an executing distributed computation, through an innovative application of optimistic computing techniques. Another interesting feature of this work is the use of monitoring and steering ``agents'', implemented as scripts, and deployed in a modular, hierarchical monitoring and steering environment.***

9734103 交互式引导允许用户监控程序的执行并以在线方式调整应用程序参数和资源分配。指导工具必须解决与监视、显示和交互组件的一致性、滞后性、可扩展性和诱发扰动相关的问题。 然而，这些问题之间的理想平衡因执行环境和目标应用程序而异。因此，可配置性是一个重要问题。这项研究的重点是转向环境基础设施的设计和开发，该环境允许用户指定配置，以在一致性、滞后和扰动之间提供所需的平衡。该项目包括开发用于收集具有不同一致性程度的快照的模块化算法，以及允许对执行程序一致应用更改的算法，同时最大限度地减少由此产生的滞后和扰动。这些用于一致监视和引导的算法建立在快照算法的现有工作的基础上，并通过乐观计算技术的创新应用，将这项工作从分布式系统的一致观察领域扩展到确保执行分布式计算的更改应用程序的一致性。 这项工作的另一个有趣的功能是使用监视和引导“代理”，以脚本的形式实现，并部署在模块化、分层的监视和引导环境中。***