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

该项目增加了高性能互连和真正的数据密集型存储设施，包括一个名为CASTOR的高性能通信和存储骨干。通过互连，该骨干网络能够实现网格战略的全部优势，以支持不同学科的数据密集型研究。主要校园设施将通过10gb /s网络连接，并由24tb存储系统支持。CASTOR的高性能链接与佛罗里达拉姆达铁路和国家拉姆达铁路相匹配。服务于以下研究领域：高能物理、化学物理和材料科学、海岸和河口建模、医学物理和计算生物学，新的基础设施还将服务于数据密集型、高性能网格的计算机科学和工程。预计CASTOR将加强整个机构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。该基础设施为需要以非常高的速度存储、处理和通信非常大规模数据集的应用程序提供了独特的资源。反映现实场景，工作涉及以下技术：*网格计算，*分布式存储和*高级网络。第一个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，以隐藏基础设施的异构性，并允许应用程序通过用户控制和来自各种基于web的界面的交互在支持网格的资源上执行。第二个版本提供了网格环境的试用版本来操作查询，为在更大的系统中部署提供了概念验证。CASTOR作为一个“理想的沙箱”，用于开发和测试适合分布式数据管道的算法。最后一个可以在超高速和多领域的研究网络中进行实验，从而有助于丰富项目。

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.