CC-NIE Networking Infrastructure: A High Performance Network to Enable Research in Medicine, Engineering, and Science (HERMES)

宾夕法尼亚大学的中央计算组织正在与工程、物理、生物学、病理学、基因组学、生物信息学和计算机科学领域的领先校园研究人员合作，以优化校园网，支持大数据研究和高性能计算。该项目建立了一个100gbps的科学DMZ，它与通用校园网不同，专为研究应用而设计。此外，它还将10 Gbps的连接扩展到选定的研究项目，并将宾夕法尼亚大学与Internet2的连接从1 Gbps增加到100 Gbps，同时还将该连接扩展到科学非军事区。该项目还通过扩展IPv6功能，为进一步增强研究网络基础设施奠定了基础；升级perfSONAR等网络监控工具；增强宾夕法尼亚大学支持实验网络和网络架构的能力，包括OpenFlow和软件定义网络。这个项目将有利于一系列有科学价值的研究。它将为宾夕法尼亚大学研究人员的大规模数据传输、处理和存储需求提供支持，同时支持机构内和机构间的合作以及研究成果的广泛传播。研究人员将不再专注于数据存储和传输的物流，而是能够专注于将这些数据转化为信息，从而推动新发现和新技术、新药物、新疗法的创造。通过支持跨学科的宾夕法尼亚大学计算科学研究所的网络需求，网络增强也将支持宾夕法尼亚大学整合研究和教育的承诺，该研究所的教师将积极地将基于计算的研究与未来几代STEM研究人员的培训结合起来。

The University of Pennsylvania's central computing organization is partnering with leading campus researchers in engineering, physics, biology, pathology, genomics, bioinformatics, and computer science to optimize the campus network in support of big data research and high-performance computing. This project establishes a 100 Gbps-capable Science DMZ that is distinct from the general purpose campus network and is engineered for research applications. Additionally, it extends 10 Gbps connectivity to select research projects and increases Penn's connection to Internet2 from 1 Gbps to 100 Gbps, while also extending that connection to the Science DMZ. The project also lays the foundation for further enhancements to research networking infrastructure by extending IPv6 capabilities; upgrading network monitoring tools such as perfSONAR; and enhancing Penn's ability to support experimental networks and network architectures, including OpenFlow and Software Defined Networking. The project will benefit a range of scientifically meritorious research. It will provide support for the large-scale data transfer, processing, and storage needs of researchers across Penn, while supporting intra- and inter-institutional collaborations and the broad dissemination of research results. Rather than focusing on the logistics of data storage and transfer, researchers will be able to concentrate on the transformation of these data into the information that will drive new discoveries and the creation of new technologies, drugs, therapies, and cures. Network enhancements will also support Penn's commitment to integrating research and education by supporting the network needs of the cross-disciplinary Penn Institute for Computation Science that where faculty actively integrate computation-based research with the training of future generations of STEM researchers.