CC* Networking Infrastructure: Building HPRNet (High-Performance Research Network) for Advancement of Data Intensive Research and Collaboration

CC* 网络基础设施：构建 HPRNet（高性能研究网络）以推进数据密集型研究和协作

• 批准号: 1659255
• 负责人: Farzad Mashayek
• 金额: $ 49.97万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-03-01 至 2020-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1659255&HistoricalAwards=false
• 关键词: CC; Networking; Infrastructure; Building; HPRNet

The sizes of scientific datasets are growing exponentially across all scientific disciplines due to several factors such as improved scientific instrumentation, social media and decreasing costs of storage. To extract real value from these geographically distant datasets, researchers need to have access to these datasets at high speeds which is typically not possible with traditional campus networks. The University of Illinois at Chicago (UIC) is building "HPRNet", a high performance research network providing last mile connectivity for over 31 research projects. HPRNet not only improves the ongoing research productivity, but also sets the stage for future innovations and collaborations. UIC is a public university and minority serving institution (MSI) in the heart of Chicago area where HPRNet significantly impacts the research training of underrepresented groups. The project team is working with other NSF and institutionally funded minority training programs on campus to ensure access to HPRNet resources.For HPRNet's deployment, 13 locations are identified at UIC where 10 to 40 Gigabit uplinks to regional, national and international R&E networks are established. HPRNet builds on the Science DMZ model that works in concert with the current campus research network (CRN) and a special data storage system known as Data Transfer Node (DTN) to deliver high-performance and reliable network paths for data-intensive applications, including high-volume bulk data transfer, remote experiment and/or instrumentation control, cloud computing, data-mining and advanced visualization.

科学数据集的大小在所有科学学科中呈指数级增长，这是由于几个因素，例如改进的科学仪器，社交媒体和降低的存储成本。为了从这些地理位置遥远的数据集中提取真实的价值，研究人员需要高速访问这些数据集，这通常是传统校园网络无法实现的。伊利诺伊大学芝加哥分校（UIC）正在建设“HPRNet”，这是一个高性能的研究网络，为超过31个研究项目提供最后一英里的连接。HPRNet不仅提高了正在进行的研究生产力，而且为未来的创新和合作奠定了基础。UIC是一所公立大学和少数民族服务机构（MSI），位于芝加哥地区的中心，HPRNet对代表性不足的群体的研究培训产生了重大影响。该项目小组正在与其他NSF和机构资助的校园少数民族培训计划，以确保访问HPRNet资源。HPRNet的部署，13个地点确定在UIC在10至40千兆上行链路到区域，国家和国际R E网络建立。HPRNet建立在科学DMZ模型的基础上，该模型与当前的校园研究网络（CRN）和称为数据传输节点（DTN）的特殊数据存储系统协同工作，为数据密集型应用提供高性能和可靠的网络路径，包括大容量批量数据传输，远程实验和/或仪器控制，云计算，数据挖掘和高级可视化。