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CC*DNI Networking Infrastructure: Washington University Research Network (WURN)

CC*DNI Networking Infrastructure: Washington University Research Network (WURN)
CC*DNI 网络基础设施:华盛顿大学研究网络 (WURN)
批准号:
1541364
负责人:
Roch Guerin
金额:
$47.56万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-10-01 至 2017-09-30

项目摘要

项目成果

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中文摘要
翻译
21世纪科学和工程研究的新发现源于对数量惊人的数据的创建、分析和交流。圣路易斯华盛顿大学(WUSTL)的研究人员处于大数据研究的前沿,因此不断推动该大学的网络基础设施。华盛顿大学研究网络的建立是在提供必要的硬件和软件能力以使数PB的数据能够进出大学系统方面向前迈出的关键一步。然而,基因组学、成像和行星科学(举几个例子)工具生成新数据的能力正在呈指数级增长,并可以迅速超过任何网络的能力。该项目在WUSTL园区创建了一个基于软件定义网络(SDN)的分布式科学DMZ网络,跨越三个相互链接的现有数据中心,并通过现有园区核心中的专用40Gbps硬件实现研究和教育广域网络连接。该项目的主要贡献是在SDN中部署新技术,以优化现有和未来能力的利用方式,同时确保可预测和安全运行所需的必要监测监督。通过调度大数据传输以及智能分区和共享网络容量,该项目的目标是确保近乎最佳的资源利用,并提供具有成本效益的解决方案。还利用网络可编程性来动态实例化监控资源,以监督这些传输的安全性。
英文摘要
New discoveries in science and engineering research in the 21st century arise from the creation, analysis and communication of staggering amounts of data. Researchers at Washington University in St. Louis (WUSTL) are at the forefront of Big Data research and thus continually pushing the university's network infrastructure. The creation of the Washington University Research Network is a critical step forward in providing the necessary hardware and software capabilities to enable Petabytes of data to move into and out of university systems. However, the capability of genomics, imaging and planetary science (to name a few) instruments to generate new data is increasing exponentially and can quickly outpace the capacity of any network. The project creates a Software Defined Network (SDN) based distributed Science DMZ network on the WUSTL campus across three existing data centers linked to each other and research and education wide area network connections via dedicated 40Gbps hardware in the existing campus core. The key contribution of this project is to deploy new techniques in SDN that optimize the way existing and future capacity is utilized, while also ensuring the necessary monitoring oversight needed for predictable and secure operation. By scheduling large data transfers and intelligently partitioning and sharing network capacity, the project's goal is to ensure near optimal utilization of resources and provide a cost effective solution. Network programmability is also leveraged to dynamically instantiate monitoring resources that oversee the security of those transfers.
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Collaborative Research: EAGER: Speeding-up large-scale simulations of atmospheric composition
  • 批准号:
    2334507
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.74万
  • 财政年份:
    2024
  • 负责人:
    Roch Guerin
  • 依托单位:
Collaborative Research: Conference: NSF Workshop Sustainable Computing for Sustainability
  • 批准号:
    2334853
  • 项目类别:
    Standard Grant
  • 资助金额:
    $18.51万
  • 财政年份:
    2023
  • 负责人:
    Roch Guerin
  • 依托单位:
CNS Core: Small: Exploring the Benefits on Non-Work-Conserving Networking
  • 批准号:
    2006530
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.86万
  • 财政年份:
    2021
  • 负责人:
    Roch Guerin
  • 依托单位:
NeTS: Medium: Provisioning, Enforcing, and Pricing Temporal Service Differentiation in Virtualized Networked Environments
  • 批准号:
    1514254
  • 项目类别:
    Standard Grant
  • 资助金额:
    $60.22万
  • 财政年份:
    2015
  • 负责人:
    Roch Guerin
  • 依托单位:
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