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CC*DNI Integration: PROnet: A PRogrammable Optical Network Prototype Serving the Campus

CC*DNI Integration: PROnet: A PRogrammable Optical Network Prototype Serving the Campus
CC*DNI 集成:PROnet:服务于园区的可编程光网络原型
批准号:
1541461
负责人:
Andrea Fumagalli
金额:
$99.89万
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:
2015-09-01 至 2018-08-31

项目摘要

项目成果

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中文摘要
翻译
没有高性能网络,大数据和高性能计算的价值将非常有限。人们早就认识到,最高性能的数据传输应该直接在光电路上运行,而不需要以太网交换或IP路由。这种直接分层避免了与交换相关的数据包丢失,并提供了具有成本效益的服务。现在存在的光学设备将允许动态建立单一应用光路。但是,设置光电路所需的时间对于短传输或小传输来说太长了?为了传输一个小文件,花一秒钟的时间来建立一个100千兆/秒的链接是没有意义的。该项目正在建设一个集成的校园网络,其中小数据传输(兆字节或千兆字节)通过传统网络传输,大数据传输(太字节或拍字节)直接通过光学电路传输。该项目正在德克萨斯大学达拉斯分校建设PROnet校园网,该校园网提供尽可能低的网络延迟(仅限信号传播),可扩展性达到100Gbps甚至更高,设备功耗低,复杂性低。将开发和部署一个用户友好的界面,供没有经验的网络研究人员要求提供所需的光学设备。将开发一种用于光学电路调度和自动配置的PROnet控制器,通过从整个过程中消除人为干预,将大大缩短电路预留程序时间。在跨域操作方面,将扩展开放式平台OSCARS与PROnet的协同工作。有了这个oscar扩展,跨多个(光学和非光学)域的混合(光学和虚拟)电路的供应将成为现实。该软件将支持通过InCommon身份安全使用网络。
英文摘要
Without high-performance networking big data and high performance computing have very limited value. It has long been recognized that the highest performance data transfers should directly run the on top of optical circuits without Ethernet switching or IP routing. This direct layering avoids switching-related packet loss and provides a cost effective service. Optical equipment now exists that will permit the dynamic establishment of single application light paths. However, the time required to set up optical circuits is too long for short or small transfers ? taking a second to set up a 100 Gigabit/sec link in order to transfer a small file does not make sense. This project is building an integrated campus network where small data transfers (megabytes or gigabytes) ride conventional networks and big data transfers (terabytes or petabytes) ride directly on optical circuits. The project is building PROnet, a campus network at the University of Texas, Dallas, which provides the lowest possible network latency (signal propagation only), scalability to 100Gbps and beyond, and equipment having low power consumption and complexity. A user-friendly interface will be developed and deployed for the network inexperienced researcher to request the provisioning of as needed optical. A PROnet controller will be developed for the scheduling and automatic provisioning of optical circuits, which will shorten the circuit reservation procedure time significantly by removing human intervention from the entire process. For inter-domain operation, the open platform OSCARS will be extended to work with PROnet. With this OSCARS extension, provisioning of hybrid (optical and virtual) circuits spanning across multiple (optical and non-optical) domains will be a reality. The software will support secure use of the network via InCommon identities.
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Collaborative Research: CNS Core: Medium: TeTON: A Testbed and a Toolkit for Expediting Investigation of and Accelerating Advancements in All-Optical Neural Networks
  • 批准号:
    2211989
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2022
  • 负责人:
    Andrea Fumagalli
  • 依托单位:
Collaborative Research: CNS Core: MEDIUM: RUI: Optics Without Borders
  • 批准号:
    1956357
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $37.73万
  • 财政年份:
    2020
  • 负责人:
    Andrea Fumagalli
  • 依托单位:
US Ignite: Collaborative Research: Track 1: Industrial Cloud Robotics across Software Defined Networks
  • 批准号:
    1531039
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.5万
  • 财政年份:
    2015
  • 负责人:
    Andrea Fumagalli
  • 依托单位:
NeTS: Medium: Collaborative Research:Digital SubCarrier Multiplexing (DSCM) Networks: from the Core to the Access
  • 批准号:
    1409849
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $49.99万
  • 财政年份:
    2014
  • 负责人:
    Andrea Fumagalli
  • 依托单位:
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