CC* Networking Infrastructure: Enabling Data Intensive Science at Cornell University
CC* Networking Infrastructure: Enabling Data Intensive Science at Cornell University
批准号:
1659088
负责人:
David Lifka
金额:
$37.67万
依托单位:
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
项目状态:
已结题
起止时间:
2017-07-01 至 2019-06-30
中文摘要
这个项目,CC* 网络基础设施:在康奈尔大学实现数据密集型科学,正在将网络连接从大学的主要数据中心升级到Internet2,以创造一个变革性的影响康奈尔大学的研究,以前是带宽有限的。升级后的网络基础设施通过为康奈尔大学的教职员工和学生研究人员提供更快、更大容量的远程数据集、仪器以及计算和数据分析资源,正在推进知识和发现。数据驱动学科(包括天文学、计算机科学、高能物理学、生命科学和材料科学)的校园研究人员正在使用升级后的网络来缩短科学研究时间和提高研究人员的生产力。此次升级也为康奈尔大学及其国家合作者做好了准备,以应对物联网、更强大的科学仪器和云计算模式驱动的未来数据增长,这些模式在机构之间共享大规模数据和资源。康奈尔大学的100G(千兆比特每秒)组件支持的研究影响了人类基因组遗传变异分析、水资源管理、大气和气溶胶粒子数据分析等方面的个人健康和福祉,以及全球健康和生物多样性。园区主干网的性能由该项目的perfSONAR基础设施监控,这些信息可供希望通过Internet 2共享数据和资源的内部和外部用户使用。一个公共门户网站提供有关100 G路径健康状况的实时数据。项目成功与否的衡量标准是通过增加带宽的可用性所带来的无数研究效益。
英文摘要
This project, CC* Networking Infrastructure: Enabling Data Intensive Science at Cornell University, is upgrading network connectivity from the University's main data center to Internet2 to create a transformative impact on Cornell research that was previously bandwidth limited. The upgraded networking infrastructure is advancing knowledge and discovery by providing Cornell faculty and student researchers with faster and higher volume access to remote data sets, instrumentation, and computational and data analysis resources. Campus researchers in data-driven disciplines - including astronomy, computer science, high energy physics, life sciences, and material science - are using the upgraded networks to improve time to science and researcher productivity. This upgrade is also preparing Cornell and its national collaborators for future data growth driven by the Internet of Things, more powerful scientific instruments, and cloud computing models that share large-scale data and resources between institutions. Research enabled by Cornell's 100G (gigabits per second) components impacts individual health and well-being in analysis of genetic variations in the human genome, water resource management, analysis of atmospheric and aerosol particle data), as well as global health and biodiversity. Campus backbone performance is monitored by the project's perfSONAR infrastructure and that information is available to internal and external users wanting to share data and resources via Internet2. A public web portal provides real-time data on the health of the 100G path. Project success is measured in terms of the myriad research benefits made possible by the availability of this increased bandwidth.
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会议论文
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批准号:1541215
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项目类别:Cooperative Agreement
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资助金额:$497.51万
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财政年份:2015
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依托单位:
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依托单位:
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资助金额:$9.0万
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财政年份:2012
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负责人:David Lifka
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依托单位:
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负责人:David Lifka
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依托单位:
海外基金