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Towards Managed Terabit/s Scientific Data Flows

机译:迈向托管的Terabit / s科学数据流

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摘要

Scientific collaborations on a global scale, such as the LHC experiments at CERN [1], rely today on the presence of high performance, high availability networks. In this paper we review the developments performed over the last several years on high throughput applications, multilayer software-defined network path provisioning, path selection and load balancing methods, and the integration of these methods with the mainstream data transfer and management applications of CMS [2], one of the major LHC experiments. These developments are folded into a compact system capable of moving data among research sites at the 1 Terabit per second scale. Several aspects that went into the design and target different components of the system are presented, including: evaluation of the 40 and 100Gbps capable hardware on both network and server side, data movement applications, flow management and the network-application interface leveraging advanced network services. We report on comparative results between several multi-path algorithms, the performance increase obtained using this approach, and present results from the related SC'13 demonstration.
机译:全球范围内的科学合作,例如CERN [1]的LHC实验,如今依赖于高性能,高可用性网络的存在。在本文中,我们回顾了过去几年在高吞吐量应用程序,多层软件定义的网络路径设置,路径选择和负载平衡方法以及这些方法与CMS的主流数据传输和管理应用程序的集成方面的发展。 2],大型LHC实验之一。这些发展成果被整合到一个紧凑的系统中,该系统能够以每秒1 TB的规模在研究站点之间移动数据。介绍了涉及设计并针对系统不同组件的几个方面,包括:对网络和服务器端具有40和100Gbps功能的硬件的评估,数据移动应用程序,流管理以及利用高级网络服务的网络应用程序接口。我们报告了几种多路径算法之间的比较结果,使用这种方法获得的性能提高,并提供了来自相关SC'13演示的结果。

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