MRI: Acquisition of CASTOR: A High-Performance Communication and Storage Backbone for Data-Intensive Science and Engineering Computing

MRI：收购 CASTOR：用于数据密集型科学和工程计算的高性能通信和存储骨干

• 批准号: 0421200
• 负责人: Sanjay Ranka
• 金额: $ 60万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0421200&HistoricalAwards=false
• 关键词: MRI; Acquisition; CASTOR; Performance; Communication; MRI; Acquisition; CASTOR; Performance; Communication

This project, adding high performance interconnections and true data-intensive storage facilities, involves a high performance communication and storage backbone, named CASTOR. With the interconnections, this backbone enables achievement of the full benefits of the grid strategy to support data-intensive research in diverse disciplines. Major campus facilities will be linked by a 10Gigabit/s network and supported by 24 Terabyte storage systems. CASTOR's high performance links are well matched to those of Florida Lambda Rail and National Lambda Rail. Serving the following research domains, High Energy Physics, Chemical Physics and Material Science, Coastal and Estuarine Modeling, Medical Physics, and Computational Biology, the new infrastructure will also serve Computer Science and Engineering on data-intensive, high-performance grids. CASTOR is expected to strengthen the collaboration between multidisciplinary teams across the institution and provide a unique resource for the projects in which the researchers participate. The infrastructure provides a unique resource for applications that require storing, processing, and communicating very large-scale data sets at very high speeds. Reflecting real-world scenarios, the work involves the following technologies:* Grid Computing,* Distributed Storage, and* Advanced Networking.The first involves the development innovative middleware techniques that complement and extend virtualization of physical information resources to hide infrastructure heterogeneity and allow applications to execute on grid-enabled resources with user control and interaction from various web-based interfaces. The second provides a trial version of the grid environment to operate queries, providing a proof-of-concept for deployment in larger systems. CASTOR serves as an "ideal sandbox" to develop and test algorithms suitable for a distributed data pipeline. The last enables experiments in a research network operating at ultra-high speeds and multiple domains, hence contributes to enrich projects.

该项目增加了高性能互连和真正的数据密集型存储设施，涉及高性能通信和储存骨干，名为Castor。通过互连，这种骨干可以实现网格策略的全部好处，以支持各种学科的数据密集型研究。主要的校园设施将由10Gigabit的网络连接，并由24个Terabyte存储系统提供支持。 Castor的高性能链接与佛罗里达Lambda Rail和National Lambda Rail的链接非常匹配。为以下研究领域，高能源物理学，化学物理学和材料科学，沿海和河口建模，医学物理学以及计算生物学服务，新基础设施还将为数据密集型，高性能网格提供计算机科学和工程。预计Castor将加强整个机构的多学科团队之间的合作，并为研究人员参与的项目提供独特的资源。基础架构为需要以非常高速的非常大规模的数据集进行存储，处理和通信的应用程序提供了独特的资源。在反映现实世界的情况下，该工作涉及以下技术：*网格计算，*分布式存储和*高级网络。首先涉及开发创新的中间件技术，这些技术补充和扩展了物理信息资源的虚拟化以隐藏基础架构异质性，并允许应用程序在用户控制和基于各种网络互动中执行应用程序的应用程序。第二个提供了网格环境的试用版本来操作查询，从而提供了在较大系统中部署的概念验证。 Castor是一种“理想的沙箱”，用于开发和测试适合分布式数据管道的算法。最后的实验可以在以超高速度和多个领域运行的研究网络中进行实验，因此有助于丰富的项目。