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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:
1647182
负责人:
Prasad Calyam
金额:
$75.01万
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 2024-09-30

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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(24)
专著(0)
科研奖励(0)
会议论文
Predictive Cyber Foraging for Visual Cloud Computing in Large-Scale IoT Systems
大规模物联网系统中视觉云计算的预测性网络搜寻
DOI: 10.1109/tnsm.2020.3010497
发表时间: 2020
期刊: IEEE Transactions on Network and Service Management
影响因子: 5.3
作者: [Patman, Jon, Chemodanov, Dmitrii, Calyam, Prasad, Palaniappan, Kannappan, Sterle, Claudio, Boccia, Maurizio]
通讯作者: Boccia, Maurizio
Policy-Based Function-Centric Computation Offloading for Real-Time Drone Video Analytics
用于实时无人机视频分析的基于策略、以功能为中心的计算卸载
DOI: 10.1109/lanman.2019.8847112
发表时间: 2019
期刊: IEEE Symposium on Local and Metropolitan Networks (LANMAN
影响因子: --
作者: [Chemodanov, Dmitrii, Qu, Chengyi, Opeoluwa, Osunkoya, Wang, Songjie, Calyam, Prasad]
通讯作者: Calyam, Prasad
DOI: 10.1109/noms56928.2023.10154317
发表时间: 2023-05
期刊: NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium
影响因子: --
作者: [Alicia Esquivel Morel;Ekincan Ufuktepe;Cameron Grant;Samuel Elfrink;Chengyi Qu;P. Calyam;K. Palaniappan]
通讯作者: Alicia Esquivel Morel;Ekincan Ufuktepe;Cameron Grant;Samuel Elfrink;Chengyi Qu;P. Calyam;K. Palaniappan
DOI: 10.1109/mobilecloud.2019.00008
发表时间: 2019
期刊: IEEE Mobile Cloud
影响因子: --
作者: [Jiang, Duo, Huang, Rui, Calyam, Prasad, Gillis, John, Apperson, Olivia, Chemodanov, Dmitrii, Demir, Fatih, Ahmad, Salman]
通讯作者: Ahmad, Salman
23
    CICI: UCSS: Trusted Resource Allocation in Volunteer Edge-Cloud Computing Workflows
    • 批准号:
      2232889
    • 项目类别:
      Standard Grant
    • 资助金额:
      $60.0万
    • 财政年份:
      2023
    • 负责人:
      Prasad Calyam
    • 依托单位:
    REU Site: Research in Consumer Networking Technologies
    • 批准号:
      2243619
    • 项目类别:
      Standard Grant
    • 资助金额:
      $40.5万
    • 财政年份:
      2023
    • 负责人:
      Prasad Calyam
    • 依托单位:
    CC* Data Storage: Remote Instrumentation Science Environment for Intelligent Image Analytics
    • 批准号:
      2322063
    • 项目类别:
      Standard Grant
    • 资助金额:
      $50.0万
    • 财政年份:
      2023
    • 负责人:
      Prasad Calyam
    • 依托单位:
    OAC Core: Small: Collaborative Research: Conversational Agents for Supporting Sustainable Implementation and Systemic Diffusion of Cyberinfrastructure and Science Gateways
    • 批准号:
      2006816
    • 项目类别:
      Standard Grant
    • 资助金额:
      $30.0万
    • 财政年份:
      2020
    • 负责人:
      Prasad Calyam
    • 依托单位:
    海外基金