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

今天的科学合作是多机构和多学科的，需要处理分布在参与者中的大型数据集。它们还需要先进的计算和网络基础设施来处理数据并得出结果。这些合作的运作方式的一个根本问题在于，它们是围绕数据所有权或必要的基础设施而构建的，而不是围绕参与组织的人才和能力。该项目正在开发将协作映射到新型动态可配置、深度联网的机构云基础设施的机制，其中数据是一流的资源。通过将数据和资源管理集成到一个单一的系统中，RADII旨在提高研究科学家的生产力，减少发现时间和运营成本。RADII利用了NSF以前的两项投资：为NSF GENI计划开发的动态基础设施技术和用于维护大型分布式数据集的iRODS数据网格系统。 该项目正在开发软件工具，以使用正式建模机制来表示科学协作，将数据流程，计算和存储映射到物理基础设施上，并灵活管理底层基础设施，以优化其在多个协作中的利用率。该项目使用了基因组学合作的几个例子来展示这种合作如何以比今天更灵活和更具成本效益的方式映射到基础设施上。

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.