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: University of Missouri-Columbia
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1647182&HistoricalAwards=false
• 关键词: US; Ignite; Collaborative; Research; Focus

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.

该项目致力于引导和管理托管视觉云计算 (VCC) 应用程序的虚拟路径网络，以确保灾难事件期间的公共安全。 该项目满足事件支持 VCC 应用程序的需求，这些应用程序对于急救人员通过以下方式获得快速视觉态势感知至关重要：(a) 对事件现场收集的图像/视频数据进行可扩展处理，以及 (b) 使用瘦客户端技术为了合作。还将与急救机构合作进行有针对性的演示，例如创伤护理医院（具有剧院规模的用例）和县消防区（具有区域规模的用例）。 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，旨在提供弹性 VCC 应用程序，即使在存在主机/链路故障、主机移动性和网络分区的情况下也能保证性能； (ii) 在 GENI 和 CloudLab 等实验测试平台上展示混合雾云基础设施中此类路径管理算法的弹性资源配置。该项目的显着理论贡献在于设计用于虚拟路径嵌入的新型分布式和联合算法和计算布局问题，适用于实时 VCC 应用。特别是，该项目寻求针对受限路径查找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引导。这项工作还通过允许雾云计算位置选择权衡的方案，增进了应用程序感知网络设计的知识。特别是，该方法基于在延迟关键的 VCC 应用程序中解耦小型/大型视觉数据处理实例：(a) “战区规模”，用于事件中的急救人员和事件指挥官人员的协调场景，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

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: 2019-04
• 期刊: IEEE Mobile Cloud
• 作者: Jiang, Duo;Huang, Rui;Calyam, Prasad;Gillis, John;Apperson, Olivia;Chemodanov, Dmitrii;Demir, Fatih;Ahmad, Salman
• 通讯作者: Ahmad, Salman

Trust Quantification in a Collaborative Drone System with Intelligence-driven Edge Routing

具有智能驱动边缘路由的协作无人机系统中的信任量化

• DOI: 10.1109/noms56928.2023.10154317
• 发表时间: 2023-05-08
• 期刊: NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium
• 作者: Alicia Esquivel Morel;Ekincan Ufuktepe;Cameron Grant;Samuel Elfrink;Chengyi Qu;P. Calyam;K. Palaniappan
• 通讯作者: K. Palaniappan

UAV Swarms in Smart Agriculture: Experiences and Opportunities

无人机蜂群进入智慧农业：经验与机遇

• DOI: 10.1109/escience55777.2022.00029
• 发表时间: 2022-10-01
• 期刊: 2022 IEEE 18th International Conference on e-Science (e-Science)
• 作者: Chengyi Qu;Jayson G. Boubin;Durbek Gafurov;Jianfeng Zhou;N. Aloysius;Henry Nguyen;P. Calyam
• 通讯作者: P. Calyam

AGRA: AI-augmented geographic routing approach for IoT-based incident-supporting applications

AGRA：用于基于物联网的事件支持应用程序的人工智能增强地理路由方法

• DOI: 10.1016/j.future.2017.08.009
• 发表时间: 2019-03
• 期刊: Future Generation Computer Systems
• 作者: Chemodanov, Dmitrii;Esposito, Flavio;Sukhov, Andrei;Calyam, Prasad;Trinh, Huy;Oraibi, Zakariya
• 通讯作者: Oraibi, Zakariya

End-to-End IoT Security Middleware for Cloud-Fog Communication

用于云雾通信的端到端物联网安全中间件

• DOI: 10.1109/cscloud.2017.62
• 发表时间: 2017-06
• 期刊: 2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud
• 作者: Mukherjee, Bidyut;Neupane, Roshan Lal;Calyam, Prasad
• 通讯作者: Calyam, Prasad