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
基本信息
- 批准号:1647182
- 负责人:
- 金额:$ 75.01万
- 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
- 起止时间:2017-01-01 至 2024-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
该项目涉及在灾难事件期间为公共安全启动和管理托管可视化云计算(VCC)应用程序的虚拟路径网络。该项目满足了事件支持VCC应用程序的需求,该应用程序对于第一响应者通过以下方式获得快速视觉态势感知至关重要:(a)在事件现场收集的图像/视频数据的可扩展处理,以及(b)使用瘦客户端技术进行协作。还将与创伤护理医院(具有剧院规模用例)和县消防区(具有区域规模用例)等第一反应机构合作进行有针对性的示范。具体来说,该项目的目标是:(i)研究虚拟路径管理算法和大规模模拟,目的是提供有弹性的VCC应用程序,即使在主机/链路故障、主机移动性和网络分区的情况下也能保证性能;以及(ii)在混合雾云基础设施(如GENI和CloudLab)的实验测试平台上演示为此类路径管理算法提供弹性资源。该项目的突出理论贡献在于为虚拟路径嵌入和计算放置问题设计了新颖的分布式和联合算法,用于实时VCC应用。特别是,该项目寻求对受限寻径器方案的解决方案改进,例如,在存在严重主机和链路故障、主机移动性和网络分区的情况下,虚拟网络嵌入或流量转向。这项工作还通过一种允许雾云计算位置选择权衡的方案,推进了应用感知网络设计的知识。特别是,该方法基于在延迟关键型VCC应用背景下解耦小型/大型视觉数据处理实例:(a)“战区尺度”用于事件现场的第一响应者和事件指挥官人员协调,以及(b)“区域尺度”用于跟踪来自机载平台的广域运动图像中不同地理尺度的感兴趣对象。
项目成果
期刊论文数量(24)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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:
- 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:
- 影响因子:0
- 作者:Chemodanov, Dmitrii;Qu, Chengyi;Opeoluwa, Osunkoya;Wang, Songjie;Calyam, Prasad
- 通讯作者:Calyam, Prasad
Trust Quantification in a Collaborative Drone System with Intelligence-driven Edge Routing
- DOI:10.1109/noms56928.2023.10154317
- 发表时间:2023-05
- 期刊:
- 影响因子:0
- 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
Hierarchical Cloud-Fog Platform for Communication in Disaster Incident Coordination
灾害事件协调沟通的分层云雾平台
- DOI:10.1109/mobilecloud.2019.00008
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Jiang, Duo;Huang, Rui;Calyam, Prasad;Gillis, John;Apperson, Olivia;Chemodanov, Dmitrii;Demir, Fatih;Ahmad, Salman
- 通讯作者:Ahmad, Salman
REBATE: A REpulsive-BAsed Traffic Engineering protocol for dynamic scale-free networks
REBATE:用于动态无标度网络的基于排斥的流量工程协议
- DOI:10.1016/j.future.2020.02.079
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Chemodanov, Dmitrii;Esposito, Flavio;Calyam, Prasad;Sukhov, Andrei
- 通讯作者:Sukhov, Andrei
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Prasad Calyam其他文献
Improving big data governance in healthcare institutions: user experience research for honest broker based application to access healthcare big data
改善医疗机构的大数据治理:基于诚实经纪人的应用程序访问医疗保健大数据的用户体验研究
- DOI:
10.1080/0144929x.2023.2196596 - 发表时间:
2023 - 期刊:
- 影响因子:3.7
- 作者:
Kanupriya Singh;Shangman Li;Isa Jahnke;Mauro Lemus Alarcon;A. Mosa;Prasad Calyam - 通讯作者:
Prasad Calyam
Leveraging Virtual Reality for Neurodivergent Representation in Cybersecurity Education: An Emerging Technology Report
- DOI:
10.1007/s10758-025-09862-6 - 发表时间:
2025-05-26 - 期刊:
- 影响因子:3.500
- 作者:
Noah Glaser;Zeinab Parishani;Amogh Chetankumar Joshi;Prasad Calyam - 通讯作者:
Prasad Calyam
Entangled collaborations: tensions in cross-disciplinary user experience studies in cyberinfrastructure projects
纠缠的合作:网络基础设施项目中跨学科用户体验研究的紧张局势
- DOI:
10.1080/0144929x.2024.2315325 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Kanupriya Singh;Isa Jahnke;Prasad Calyam - 通讯作者:
Prasad Calyam
Risk-Based Zero Trust Scale for Tactical Edge Network Environments
适用于战术边缘网络环境的基于风险的零信任量表
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Saketh Poduvu;Sayed M. Saghaian N. E.;Ekincan Ufuktepe;Alicia Esquivel Morel;Prasad Calyam - 通讯作者:
Prasad Calyam
NeRF-based 3D Reconstruction and Orthographic Novel View Synthesis Experiments Using City-Scale Aerial Images
使用城市规模航空图像进行基于 NeRF 的 3D 重建和正交新视图合成实验
- DOI:
10.1109/aipr60534.2023.10440701 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Dylan Callaghan Chapell;Edward Ruien Shang;Taci Kucukpinar;Joshua Fraser;Jaired Collins;V. Sagan;Prasad Calyam;K. Palaniappan - 通讯作者:
K. Palaniappan
Prasad Calyam的其他文献
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{{ truncateString('Prasad Calyam', 18)}}的其他基金
CICI: UCSS: Trusted Resource Allocation in Volunteer Edge-Cloud Computing Workflows
CICI:UCSS:志愿者边缘云计算工作流程中的可信资源分配
- 批准号:
2232889 - 财政年份:2023
- 资助金额:
$ 75.01万 - 项目类别:
Standard Grant
REU Site: Research in Consumer Networking Technologies
REU 网站:消费者网络技术研究
- 批准号:
2243619 - 财政年份:2023
- 资助金额:
$ 75.01万 - 项目类别:
Standard Grant
CC* Data Storage: Remote Instrumentation Science Environment for Intelligent Image Analytics
CC* 数据存储:用于智能图像分析的远程仪器科学环境
- 批准号:
2322063 - 财政年份:2023
- 资助金额:
$ 75.01万 - 项目类别:
Standard Grant
OAC Core: Small: Collaborative Research: Conversational Agents for Supporting Sustainable Implementation and Systemic Diffusion of Cyberinfrastructure and Science Gateways
OAC 核心:小型:协作研究:支持网络基础设施和科学网关可持续实施和系统扩散的对话代理
- 批准号:
2006816 - 财政年份:2020
- 资助金额:
$ 75.01万 - 项目类别:
Standard Grant
REU SITE: Research in Consumer Networking Technologies
REU 站点:消费者网络技术研究
- 批准号:
1950873 - 财政年份:2020
- 资助金额:
$ 75.01万 - 项目类别:
Standard Grant
MRI: Acquisition of a Virtual Reality System for Expert Decision Making and Immersive Learning
MRI:获取用于专家决策和沉浸式学习的虚拟现实系统
- 批准号:
2018850 - 财政年份:2020
- 资助金额:
$ 75.01万 - 项目类别:
Standard Grant
CC* Integration: End-to-End Performance and Security Driven Federated Data-Intensive Workflow Management
CC* 集成:端到端性能和安全驱动的联合数据密集型工作流管理
- 批准号:
1827177 - 财政年份:2018
- 资助金额:
$ 75.01万 - 项目类别:
Standard Grant
REU SITE: Research in Consumer Networking Technologies
REU 站点:消费者网络技术研究
- 批准号:
1659134 - 财政年份:2017
- 资助金额:
$ 75.01万 - 项目类别:
Standard Grant
CC*IIE Engineer: Exploration of Roles and Tools to Fulfill Diverse Researcher Needs in Collaborative Environments
CC*IIE 工程师:探索在协作环境中满足不同研究人员需求的角色和工具
- 批准号:
1440582 - 财政年份:2014
- 资助金额:
$ 75.01万 - 项目类别:
Standard Grant
II-EN: Infrastructure to Support Desktop Virtualization Experiments for Research and Education
II-EN:支持研究和教育桌面虚拟化实验的基础设施
- 批准号:
1347889 - 财政年份:2013
- 资助金额:
$ 75.01万 - 项目类别:
Standard Grant
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