Collaborative Research: II-New: Distributed Research Testbed (DiRT)

协作研究：II-新：分布式研究测试台 (DiRT)

• 批准号: 0855245
• 负责人: Henri Casanova
• 金额: $ 3.18万
• 依托单位: University of Hawaii
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0855245&HistoricalAwards=false
• 关键词: Collaborative; Research; II; New; Distributed

Through Grid and Cloud computing, the importance of distributed computing has risen dramatically in recent years, increasing the computational power available to a widening audience of scientific and commercial users. Gains in computing power have caused a drastic increase in the volume of data produced by users, requiring new research on improved management and access to distributed data. These gains also drive the need for efficient scheduling and leasing of computational resources and for adapting current work in machine virtualization to a distributed context. These research directions require the development and evaluation of new models for computational, communication, and storage costs, but existing infrastructure makes model evaluation difficult or impossible, since they are in constant use by other researchers.This project addresses these concerns by providing a diverse group of researchers with a Distributed Research Testbed (DiRT) on which to develop and evaluate new technologies. The clusters making up the testbed are located at the University of Chicago, the University of Florida, the University of Hawai?i, the University of Notre Dame, and the University of Mississippi. Unlike working grid environments, we have complete low-level control of the hardware and complete knowledge of where the data and computation are located. We will use the testbed to address problems faced today by the growing number of users of distributed computing. Because high performance computing is essential to the conduct of modern science, this project will have significant impact on research and education in a a wide variety of scientific disciplines.

通过网格和云计算，近年来分布式计算的重要性急剧上升，从而增加了扩大科学和商业用户的受众可用的计算能力。计算能力的收益导致用户生成的数据量大幅增加，这需要有关改进管理和访问分布式数据的新研究。这些收益还推动了计算资源有效调度和租赁的需求，并将机器虚拟化中的当前工作调整为分布式上下文。这些研究方向需要开发和评估用于计算，沟通和存储成本的新模型，但是现有的基础设施使模型评估变得困难或不可能，因为它们不断使用其他研究人员使用。该项目通过向分布式研究培养基（DIRT）提供和评估新技术来解决这些问题，以解决这些问题。构成测试台的集群位于芝加哥大学，佛罗里达大学，夏威夷大学？I，巴黎圣母院和密西西比大学。 与工作网格环境不同，我们对硬件和计算位置的完整了解完全低级控制。我们将使用测试床来解决越来越多的分布式计算用户数量的问题。由于高性能计算对于现代科学的行为至关重要，因此该项目将对各种科学学科的研究和教育产生重大影响。