CC*IIE: Integration: COSciN: Cornell Open Science Network

在越来越多的领域，科学家们正在利用计算技术通过收集、整合和分析大型数据集来获得发现。但是，尽管数据的激增为研究创造了新的机会，大学校园的网络基础设施却没有跟上。生成数据的实验室通常与用于分析数据的计算集群不在同一位置，但很少有校园网针对批量数据传输进行了优化。大多数校园网提供的是“尽力而为”的服务，没有采用先进的流量工程方案，而这些方案可以为科学流动提供更好的服务。不能采用先进的流量工程的部分原因是它使管理网络变得更加困难。为了降低管理难度，充分发挥网络基础设施的潜力，需要更好的工具。该项目通过转换原型实现来解决工具问题，freonic提供了表达和组合网络策略的高级语言，SoNIC是构建精确控制的网络接口和相关测量工具的工具包。这项工作将在康奈尔大学位于伊萨卡的主校区和位于纽约市的医学院之间的一个新的研究网络的运作背景下进行。作为一个驱动应用程序，该项目专注于基因组测序数据集的有效传输，这些数据集通常运行到数十tb，并且规模正在迅速增长。该项目为科学家提供了一种实用的工具，用于在广域网上传输数据，同时将freonic和SoNIC系统从原型实现过渡到高质量的开源系统。

In a growing number of fields, scientists are leveraging computational techniques to make discoveries by collecting, integrating, and analyzing large data sets. But while the proliferation of data has created new opportunities for research, the cyberinfrastructure on university campuses has not kept pace. The labs where data are generated are typically not co-located with the compute clusters used to analyze them, but few campus networks optimize for bulk data transfer. Most campus networks offer "best effort" delivery and do not employ advanced traffic engineering schemes that could provide better service for science flows. Part of the reason for this failure to employ advanced traffic engineering is it makes managing the network much more difficult. In order to reduce the management difficulty and realize the full potential of cyberinfrastructure better tools are needed. This project addresses the tool issues by transitioning prototype implementations of Frenetic which provides a high-level language for expressing and composing network policies, and SoNIC which is a toolkit building precisely controlled network interfaces and associated measurement tools. This work will be done in the operational context of a new research network between Cornell University's main campus in Ithaca and its medical campus in New York City. As a driving application, the project is focusing on the efficient transfer of genomic sequencing datasets, which often run to tens of terabytes and are rapidly growing in size. The project gives scientists a practical tool for transferring data over the wide-area network while transitioning the Frenetic and SoNIC systems from prototype implementations into high-quality open-source systems.