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US Ignite: Collaborative Research: Focus Area 2: Resilient Virtual Path Management for Scalable Data-intensive Computing at Network-Edges

US Ignite: Collaborative Research: Focus Area 2: Resilient Virtual Path Management for Scalable Data-intensive Computing at Network-Edges
US Ignite:协作研究:重点领域 2:网络边缘可扩展数据密集型计算的弹性虚拟路径管理
批准号:
1647084
负责人:
Flavio Esposito
金额:
$20.38万
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:
2017-01-01 至 2022-12-31

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中文摘要
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英文摘要
This project addresses bootstrapping and managing virtual path networks hosting Visual Cloud Computing (VCC) applications for public safety during disaster incidents. This project meets the needs of incident-supporting VCC applications that are essential for first responders to gain rapid visual situational awareness through: (a) scalable processing of imagery/video data collected at incident scenes, and (b) use of thin-client technologies for collaboration. Targeted demonstrations will also be conducted in collaboration with first-responder agencies such as trauma care hospitals (with theater-scale use cases) and a county fire protection district (with regional-scale use cases). Specifically, the project objectives are to: (i) investigate virtual path management algorithms and large-scale simulations with the aim of providing resilient VCC applications with guaranteed performance even in the presence of host/link failures, host mobility and network partitioning; and (ii) demonstrate resilient resource provisioning for such path management algorithms within hybrid fog-cloud infrastructures on experimental testbeds such as GENI and CloudLab.The salient theoretical contribution of this project lays in the design of novel distributed and federated algorithms for the virtual path embedding and computation placement problems, for real-time VCC applications. In particular, the project seeks a solution improvement for constrained path finders schemes, e.g., virtual network embedding or traffic steering, in presence of severe host and link failures, host mobility and network partitioning. The work also advances knowledge of application-aware network design through a scheme that allows fog-cloud compute location selection tradeoffs. In particular, the approach is based on decoupling small/large instances of visual data processing in the context of latency-critical VCC applications at: (a) "theater-scale" for first-responder and incident commander personnel co-ordination at an incident scene, and (b) "regional-scale" for tracking objects of interest across different geographical scales in wide-area motion imagery from airborne platforms.
期刊论文(29)
专著(0)
科研奖励(0)
会议论文
ADELE: An Architecture for Steering Traffic and Computations via Deep Learning in Challenged Edge Networks
ADELE:在面临挑战的边缘网络中通过深度学习引导流量和计算的架构
DOI: 10.1109/cccs.2019.8888120
发表时间: 2019
期刊: Communications and Security (ICCCS
影响因子: --
作者: [Gaballo, Alessandro, Flocco, Matteo, Esposito, Flavio, Marchetto, Guido]
通讯作者: Marchetto, Guido
Catena: A distributed architecture for robust service function chain instantiation with guarantees
Catena:一种具有保证的稳健服务功能链实例化的分布式架构
DOI: 10.1109/netsoft.2017.8004103
发表时间: 2017
期刊: IEEE Conference on Network Softwarization (NetSoft
影响因子: --
作者: [Esposito, Flavio]
通讯作者: Esposito, Flavio
DOI: 10.1109/tvt.2021.3074304
发表时间: 2021-05-01
期刊: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
影响因子: 6.8
作者: [Sacco, Alessio, Esposito, Flavio, Montuschi, Paolo]
通讯作者: Montuschi, Paolo
DOI: 10.1109/wimob.2017.8115808
发表时间: 2017-10
期刊: 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
影响因子: --
作者: [Flavio Esposito;Andrej Cvetkovski;T. Dargahi;Jianli Pan]
通讯作者: Flavio Esposito;Andrej Cvetkovski;T. Dargahi;Jianli Pan
29
    Collaborative Research: CPS: TTP Option: Medium: Sharing Farm Intelligence via Edge Computing
    • 批准号:
      2133407
    • 项目类别:
      Standard Grant
    • 资助金额:
      $122.7万
    • 财政年份:
      2022
    • 负责人:
      Flavio Esposito
    • 依托单位:
    CC* Integration-Small: A Software-Defined Edge Infrastructure Testbed for Full-stack Data-Driven Wireless Network Applications
    • 批准号:
      2201536
    • 项目类别:
      Standard Grant
    • 资助金额:
      $50.0万
    • 财政年份:
      2022
    • 负责人:
      Flavio Esposito
    • 依托单位:
    CNS Core: Small: Collaborative Research: HEECMA: A Hybrid Elastic Edge-Cloud Application Management Architecture
    • 批准号:
      1908574
    • 项目类别:
      Standard Grant
    • 资助金额:
      $20.62万
    • 财政年份:
      2019
    • 负责人:
      Flavio Esposito
    • 依托单位:
    NSF Student Travel Grant for the 2019 ACM CoNEXT Conference
    • 批准号:
      2002096
    • 项目类别:
      Standard Grant
    • 资助金额:
      $1.08万
    • 财政年份:
      2019
    • 负责人:
      Flavio Esposito
    • 依托单位:
    海外基金