CC*IIE Integration: RADII: Resource Aware DatacentrIc CollaboratIon Infrastructure

CC*IIE 集成：RADII：资源感知数据中心协作基础设施

• 批准号: 1440715
• 负责人: Ilya Baldin
• 金额: $ 85.37万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1440715&HistoricalAwards=false
• 关键词: CC; IIE; Integration; RADII; Resource

Science collaborations today are multi-institutional and multi-disciplinary, requiring processing of large datasets that are distributed among their participants. They also require advanced computing and networking infrastructure to process the data and arrive at results. A fundamental problem with the way these collaborations operate today lies in the fact that they are structured around the ownership of data or necessary pieces of infrastructure, rather than around the talents and capabilities of participating organizations. This project is developing mechanisms for mapping collaborations onto the new type of dynamically configurable, deeply networked institutional cloud infrastructure, where data is a first-class resource. By integrating data and resource management into a single system RADII aims at improving the productivity of research scientists and reducing time to discovery and operating costs.RADII leverages two previous NSF investments: dynamic infrastructure technologies developed for NSF GENI initiative and the iRODS data grid system for maintaining large distributed datasets. The project is developing software tools to represent science collaborations using formal modeling mechanisms, map data processes, computations and storage onto physical infrastructure and flexibly manage the underlying infrastructure to optimize its utilization across multiple collaborations. The project uses several examples of collaborations from genomics to demonstrate how such collaborations can map onto infrastructure in a more flexible and cost effective way compared to today.

当今的科学合作是多机构和多学科的，需要处理参与者之间的大型数据集。他们还需要高级计算和网络基础架构来处理数据并得出结果。这些合作的工作方式的一个基本问题在于，它们是围绕数据或必要的基础架构的所有权而不是围绕参与组织的才能和能力而结构的。该项目正在开发用于将协作映射到新型类型的动态配置，深入网络的机构云基础架构的机制，其中数据是一流的资源。通过将数据和资源管理集成到单个系统中，RADI旨在提高研究科学家的生产率，并减少发现和操作成本的时间。RADII利用了两项NSF投资：为NSF Geni Initiative开发的动态基础架构技术，以及用于维持大型分布式数据集的IROD数据网格系统。 该项目正在开发软件工具，以使用正式的建模机制，地图数据流程，计算和存储在物理基础架构上来表示科学协作，并灵活地管理基础基础架构，以优化多个合作的利用率。该项目使用了从基因组学的几个合作示例来证明与今天相比，这种协作如何以更灵活和具有成本效益的方式映射到基础架构上。