CSR -- PDOS: Methodologies for Customization of Distributed Algorithms and Middleware

CSR——PDOS：分布式算法和中间件的定制方法

• 批准号: 0615337
• 负责人: Gurdip Singh
• 金额: --
• 依托单位: Kansas State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0615337&HistoricalAwards=false
• 关键词: CSR; PDOS; Methodologies; Customization; Distributed

Abstract: Distributed applications often require the underlying distributed algorithms and middleware to be customized to meet stringent performance requirements. This is typically addressed by manually re-implementing portions of existing algorithms, which is tedious and error-prone. The goal of this project is to develop a comprehensive framework for automated customization of distributed algorithms and middleware. The work aims at developing technologies for various aspects of customization, which include (a) techniques to design distributed algorithms and middleware amenable to customization, (b) domain-specific languages for specifying rules to identify customization opportunities, (c) infrastructure to analyze the specifications to determine when customization rules can be applied, (d) tools to perform the code transformations necessary to perform the optimizations, and (e) extensive evaluation of the developed technologies on a number of applications. The expected project outcomes include tools for automatic customization of algorithms, a study of the extent to which generic distributed algorithms can be customized automatically and a characterization of the types of customizations applicable to different classes of algorithms. This research will ease the development of efficient distributed algorithms to meet the requirements of different applications. Research results from this project will be leveraged in developing new courses on component based design of distributed systems, and in advancing multidisciplinary activities in the area of distributed sensor systems. Technology transition activities will be pursued in collaboration with our industrial partners. Efforts will be made to involve undergraduates and students from underrepresented groups in the research and educational activities.

摘要：分布式应用程序通常需要定制底层分布式算法和中间件，以满足严格的性能要求。这通常通过手动重新实现现有算法的部分来解决，这是繁琐且容易出错的。这个项目的目标是开发一个全面的框架，用于自动定制分布式算法和中间件。这项工作旨在为定制的各个方面开发技术，包括（a）设计分布式算法和服从定制的中间件的技术，（B）指定规则以识别定制机会的特定领域语言，（c）分析规范以确定何时可以应用定制规则的基础设施，（d）执行优化所需的代码转换的工具，及（e）广泛评估已发展的技术在多项应用方面的成效。预期的项目成果包括自动定制算法的工具，研究通用分布式算法可自动定制的程度，以及描述适用于不同类别算法的定制类型。这项研究将有助于开发高效的分布式算法，以满足不同应用的需求。该项目的研究成果将用于开发基于组件的分布式系统设计新课程，并推进分布式传感器系统领域的多学科活动。技术过渡活动将与我们的工业伙伴合作进行。将努力让代表性不足群体的本科生和学生参与研究和教育活动。