课题基金 / 基金详情

NeTS: Large: Collaborative Research:Programmable Inter-domain Observation and Control

NeTS: Large: Collaborative Research:Programmable Inter-domain Observation and Control
NeTS:大型:协作研究:可编程域间观测与控制
批准号:
1413978
负责人:
Ramesh Govindan
金额:
$167.61万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-10-01 至 2020-09-30

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中文摘要
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英文摘要
The Internet is an essential part of modern society, playing a vital role in a wide range of educational, commercial, military, and social activities. However, network operators today have a limited ability to observe and control the paths used to carry traffic across the Internet. For example, although it is often beneficial for several networks to cooperate?e.g., a content provider and cellular network jointly picking the best paths from content to customers?existing Internet routing protocols make it difficult to share information or collaborate to select routes. These limitations contribute to a host of problems, including decreased path stability, degraded performance, and service outages. This project will develop a system called IN-CONTROL that aggregates information from participating networks and active measurements into an inter-domain network information base (iNIB). The iNIB presents operators with a unified interface for making observations about global forwarding paths and a rich control interface for issuing requests to steer traffic along preferred paths. To build the iNIB, the project is focusing on the following tasks: (i) developing provenance-based techniques to obtain reliable results from computations performed over potentially-untrustworthy data (ii) designing deployable mechanisms for observing and controlling Internet forwarding paths, and (iii) building a scalable implementation that incorporates optimizations to reduce resource demands for answering iNIB queries. The intellectual merit of this research lies in developing reliable abstractions for observing and controlling Internet forwarding paths and a scalable implementation that can be readily deployed on the current Internet. The broader impacts include reducing the fragility of the Internet, and broadening the interdisciplinary community of researchers working on problems related to inter-domain networking. This project also provides research experiences for undergraduate students and members of under-represented groups.
期刊论文(4)
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会议论文
DOI: 10.1145/3387514.3405894
发表时间: 2020-07
期刊: Proceedings of the Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication
影响因子: --
作者: [Ran Ben Basat;Sivaramakrishnan Ramanathan;Yuliang Li;G. Antichi;Minlan Yu;M. Mitzenmacher]
通讯作者: Ran Ben Basat;Sivaramakrishnan Ramanathan;Yuliang Li;G. Antichi;Minlan Yu;M. Mitzenmacher
DOI: 10.14722/ndss.2020.24232
发表时间: 2020
期刊: Proceedings 2020 Network and Distributed System Security Symposium
影响因子: --
作者: [Sivaramakrishnan Ramanathan;J. Mirkovic;Minlan Yu]
通讯作者: Sivaramakrishnan Ramanathan;J. Mirkovic;Minlan Yu
DOI: 10.1145/3387514.3405879
发表时间: 2020-07
期刊: Proceedings of the Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication
影响因子: --
作者: [Jiaqi Gao;Ennan Zhai;H. Liu;Rui Miao;Yu Zhou;Bingchuan Tian;Chen Sun;Dennis Cai;Ming Zhang;Minlan Yu]
通讯作者: Jiaqi Gao;Ennan Zhai;H. Liu;Rui Miao;Yu Zhou;Bingchuan Tian;Chen Sun;Dennis Cai;Ming Zhang;Minlan Yu
Towards highly available clos-based WAN routers
迈向高可用的基于 clos 的 WAN 路由器
DOI: 10.1145/3341302.3342086
发表时间: 2019
期刊: ACM SIGCOMM 2019
影响因子: --
作者: [Supittayapornpong, Sucha, Raghavan, Barath, Govindan, Ramesh]
通讯作者: Govindan, Ramesh
Collaborative Research: CNS Core: Medium: Panoptes: Next Generation Multi-Perspective Video Delivery at Internet Scale
  • 批准号:
    1956190
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2020
  • 负责人:
    Ramesh Govindan
  • 依托单位:
Collaborative Research: CNS Core: Medium: Network-Enabled Cooperative Perception for Future Autonomous Vehicles
  • 批准号:
    1956445
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $90.0万
  • 财政年份:
    2020
  • 负责人:
    Ramesh Govindan
  • 依托单位:
CNS Core: Large: Collaborative Research: Network Design Automation
  • 批准号:
    1901523
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2019
  • 负责人:
    Ramesh Govindan
  • 依托单位:
CPS: Synergy: Collaborative Research: Harnessing the Automotive Infoverse
  • 批准号:
    1330118
  • 项目类别:
    Standard Grant
  • 资助金额:
    $46.19万
  • 财政年份:
    2013
  • 负责人:
    Ramesh Govindan
  • 依托单位:
国内基金
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基于水稻穗粒数关键基因LARGE2提高作物产量的探索与应用
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    黄洛将
  • 依托单位:
水稻穗粒数调控关键因子LARGE6的分子遗传网络解析
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    黄洛将
  • 依托单位:
量子自旋液体中拓扑拟粒子的性质:量子蒙特卡罗和新的large-N理论
  • 批准号:
    12074246
  • 项目类别:
    面上项目
  • 资助金额:
    62.0万元
  • 批准年份:
    2020
  • 负责人:
    Yoshitomo Kamiya
  • 依托单位:
甘蓝型油菜Large Grain基因调控粒重的分子机制研究
  • 批准号:
    31972875
  • 项目类别:
    面上项目
  • 资助金额:
    58.0万元
  • 批准年份:
    2019
  • 负责人:
    石江华
  • 依托单位: