POWRE: Visiting Professorship: Systems Research in Adaptation

POWRE：客座教授：适应系统研究

• 批准号: 9720545
• 负责人: Carla Ellis
• 金额: $ 7万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-10-01 至 1998-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9720545&HistoricalAwards=false
• 关键词: POWRE; Visiting; Professorship; Systems; Research

9720545 Ellis, Carla Schlatter Duke University POWRE: Visiting Professorship: Systems Research in Adaptation This project supports the research and educational activities of the PI as a Visiting Professor at the University of Washington for the 1997-98 academic year. The research investigates the role of adaptation in computer systems, particularly as it applies to resource management in clusters of workstations and environments for mobile computing. Adaptation is an emerging theme in systems research. At all levels of system design, there are potential performance benefits to be realized by responding to dynamic variations in runtime behavior and resource availability by applying distinctly different policies or techniques. The defined research plan experimentally addresses questions concerning what the best adaptation strategies are and what infrastructure mechanisms are useful for their implementation. The methods to be employed include design, implementation, and measurement of software prototypes to evaluate various adaptation approaches. This award is expected to have impact on the discovery of new adaptation techniques to improve mobile and cluster computing performance, encouragement of women students to enter and to complete advanced degree programs in Computer Science, and advancement the PI as a senior woman in research and education.

9720545 Ellis，Carla Schlatter杜克大学 访问教授：适应系统研究 该项目支持PI作为华盛顿大学1997-98学年的访问教授的研究和教育活动。 本研究探讨适应在计算机系统中的作用，特别是当它适用于资源管理的工作站和环境的集群移动的计算。适应是系统研究中的一个新兴主题。在系统设计的所有级别，通过应用明显不同的策略或技术来响应运行时行为和资源可用性的动态变化，可以实现潜在的性能优势。 确定的研究计划实验解决的问题，最好的适应战略是什么，什么样的基础设施机制是有用的，他们的执行。 所采用的方法包括软件原型的设计、实现和度量，以评估各种适应方法。 该奖项预计将对发现新的适应技术产生影响，以提高移动的和集群计算性能，鼓励女学生进入并完成计算机科学高级学位课程，并将PI提升为研究和教育领域的高级女性。