CC-NIE Networking Infrastructure: Caltech's High-performance OPtical Integrated Network (CHOPIN)

加州理工大学高性能光集成网络(肖邦)将最先进的网络技术作为单一概念提供给加州理工大学园区，以支持多个领先的研究小组。肖邦在园区内部署了支持软件定义网络(SDN)的交换机，以及加州理工学院和CEEN之间的100Gbps链路，支持直接连接到加利福尼亚OpenFlow测试床网络(COTN)、连接到Internet2高级第二层服务(AL2S)网络以及其他主要的研究和教育网络。通过这种方式，肖邦支持网络领域的前沿研发活动，以及基于高吞吐量计算(HTC)的应用程序和使用大数据量和速度的研究。Science DMZ概念集成到设计中，允许在相同的底层基础设施上支持统一、灵活的高性能系统，同时支持园区通用网络和HTC应用程序。新的100G功能还为与Cen HPR-L3和Internet2 Advanced Layer 3服务等路由高性能服务的集成铺平了道路。上行链路由100G和40G链路连接到一组支持OpenFlow的交换机，分别连接到几个主要研究小组。基础设施的改进和利用的软件和方法使加州理工大学园区的所有人受益，并明确表示参与大数据和高通量研究的小组，如高能物理、天文学(LIGO，LSST)、地震学、大地测量地球卫星观测和许多其他纯科学和应用科学学科，包括计算机科学和应用数学。

The Caltech High-performance OPtical Integrated Network (CHOPIN) delivers the most advanced networking technologies to the Caltech campus as a single concept in support of several leading research groups. CHOPIN deploys Software-Defined Networking (SDN) capable switches on the campus, as well as a 100Gbps link between Caltech and CENIC, supporting direct connectivity to the California OpenFlow Testbed Network (COTN), a connection to the Internet2 Advanced Layer 2 Services (AL2S) network, as well as other major Research and Education networks. In this way, CHOPIN supports leading edge Research and Development activities in the networking area, as well as high-throughput computing (HTC) based applications and research using large data volumes and velocities.The ScienceDMZ concept integrated into the design allows for a unified, flexible, yet high-performance system supporting both the campus General Purpose Network and HTC applications on the same underlying infrastructure. The new 100G capability paves the way for integration also with routed high performance services such as the CENIC HPR-L3 and Internet2 Advanced Layer 3 Services. The uplink is complemented by 100G and 40G links to a set of OpenFlow capable switches to each of several major research groups.The infrastructure improvements and leveraged software and methods benefit all of the Caltech campus, and explicitly groups involved in Big Data and high-throughput research, such as high energy physics, astronomy (LIGO, LSST), seismology, geodetic Earth satellite observations and many other pure and applied science disciplines, including computer science and applied mathematics.