CC* Integration-Large: An 'On-the-fly' Deeply Programmable End-to-end Network-Centric Platform for Edge-to-Core Workflows

CC* Integration-Large：用于边缘到核心工作流程的“即时”深度可编程端到端网络中心平台

• 批准号: 2018074
• 负责人: Michael Zink
• 金额: $ 75万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2018074&HistoricalAwards=false
• 关键词: CC; Integration; Large; fly; Deeply

Unmanned Aerial Vehicles (also known as drones) are becoming popular in the sky. Their application reaches from hobby drones for leisurely activities to life-critical drones for organ transport to commercial applications such as air taxis. The safe, efficient, and economic operation of such drones poses a variety of challenges that have to be addressed by the science community. For example, drones need very detailed, close to the ground weather information for safe operations, and data processing and energy consumption of drones need to be intelligently handled. This project will provide tools that will allow researchers and drone application developers to address operational drone challenges by using advanced computer and network technologies.This project will provide an architecture and tools that will enable scientists to include edge computing devices in their computational workflows. This capability is critical for low latency and ultra-low latency applications like drone video analytics and route planning for drones. The proposed work will include four major tasks. First, cutting edge network and compute infrastructure will be integrated into the overall architecture to make them available as part of scientific workflows. Second, in-network processing at the network edge and core will be made available through new programming abstractions. Third, enhanced end-to-end monitoring capabilities will be offered. Finally, the architecture will leverage the Pegasus Workflow Management System to integrate in-network and edge processing capabilities.Providing best practices and tools that enable the use of advanced cyberinfrastructure for scientific workflows will have a broad impact on society in the long term. The science drivers that will be supported by this project have the potential to increase the safety and efficiency of drone applications, an area that will grow in significance in the foreseeable future. The project team will enable access to a rich set of resources for researchers and educators from a diverse set of institutions (historically black colleges and universities (HBCU), community colleges, women’s colleges) to further democratize research. In addition, collaboration with the NSF REU (Research Experience for Undergraduates) Site in Consumer Networking will promote participation of under-served/under-represented students in project activities.Information about the project will be available at http://www.flynet-ci.org to provide information on overall project activities, outreach activities, publications, tools and software, and the project’s team members. The project website will be preserved for at least three years after the project ends.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

无人驾驶飞行器（也称为无人机）在天空中越来越受欢迎，其应用范围从用于休闲活动的业余无人机到用于器官运输的生命攸关的无人机，再到空中出租车等商业应用。此类无人机带来了科学界必须解决的各种挑战，例如，无人机需要非常详细、接近地面的天气信息才能安全运行，并且无人机的数据处理和能源消耗需要进行智能处理。项目将提供的工具将使研究人员和无人机应用程序开发人员能够利用先进的计算机和网络技术来解决无人机操作中的挑战。该项目将提供一种架构和工具，使科学家能够将边缘计算设备纳入其计算工作流程。无人机视频分析和无人机路线规划等低延迟和超低延迟应用程序将包括四个主要任务，首先，尖端网络和计算基础设施将集成到整体架构中，使其成为科学的一部分。其次，网络边缘和核心的网络内处理。第三，将提供增强的端到端监控功能。最后，该架构将利用 Pegasus 工作流管理系统来集成网络内和边缘处理功能。提供最佳实践和工具。从长远来看，将先进的网络基础设施用于科学工作流程将对社会产生广泛的影响，该项目将支持的科学驱动因素有可能提高无人机应用的安全性和效率，这一领域的重要性将日益增强。在可预见的未来。团队将为来自不同机构（历史悠久的黑人学院和大学（HBCU）、社区学院、女子学院）的研究人员和教育工作者提供丰富的资源，以进一步实现研究民主化。此外，与 NSF REU 的合作（消费者网络中的本科生研究经验网站将促进服务不足/代表性不足的学生参与项目活动。有关该项目的信息将在 http://www.flynet-ci.org 上提供，以提供有关整个项目的信息活动、外展活动、出版物、工具和软件以及项目团队成员将在项目结束后保留​​至少三年。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值进行评估，认为值得支持。以及更广泛的影响审查标准。

项目成果

FlyNet: Drones on the Horizon

FlyNet：地平线上的无人机

• DOI: 10.1109/mic.2023.3260440
• 发表时间: 2023-05
• 期刊: IEEE Internet Computing
• 影响因子: 3.2
• 作者: Morel, Alicia Esquivel;Qu, Chengyi;Calyam, Prasad;Wang, Cong;Thareja, Komal;Mandal, Anirban;Lyons, Eric;Zink, Michael;Papadimitriou, George;Deelman, Ewa
• 通讯作者: Deelman, Ewa

Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus

自动化科学边缘到云工作流程：与 Pegasus 穿越边缘到云连续体

• DOI: 10.1109/ccgrid54584.2022.00098
• 发表时间: 2022-05
• 期刊: Cloud and Internet Computing (CCGrid
• 作者: Tanaka, Ryan;Papadimitriou, George;Viswanath, Sai Charan;Wang, Cong;Lyons, Eric;Thareja, Komal;Qu, Chengyi;Esquivel, Alicia;Deelman, Ewa;Mandal, Anirban;et al
• 通讯作者: et al

Network Services Management using Programmable Data Planes for Visual Cloud Computing

使用可编程数据平面进行可视化云计算的网络服务管理

• DOI: 10.1109/icnc57223.2023.10074183
• 发表时间: 2023-02-20
• 期刊: 2023 International Conference on Computing, Networking and Communications (ICNC)
• 作者: Alicia Esquivel Morel;P. Calyam;Chengyi Qu;Durbek Gafurov;Cong Wang;Komal Thareja;A. M;al;al;Eric J. Lyons;M. Zink;G. Papadimitriou;E. Deelman
• 通讯作者: E. Deelman

Experiments on Network Services for Video Transmission using FABRIC Instrument Resources

利用FABRIC仪器资源进行视频传输网络服务实验

• DOI: 10.1109/infocomwkshps57453.2023.10225817
• 发表时间: 2023-05
• 期刊: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS
• 作者: Morel, Alicia Esquivel;Gafurov, Durbek;Calyam, Prasad;Wang, Cong;Thareja, Komal;Mandal, Anirban;Lyons, Eric;Zink, Michael;Papadimitriou, George;Deelman, Ewa
• 通讯作者: Deelman, Ewa

An Information Centric Framework for Weather Sensing Data

以信息为中心的天气传感数据框架

• DOI: 10.1109/iccworkshops53468.2022.9882164
• 发表时间: 2022-09
• 期刊: 2022 IEEE International Conference on Communications Workshops (ICC Workshops
• 作者: Thompson, Robert;Lyons, Eric;Dasgupta, Ishita;Mastorakis, Spyridon;Zink, Michael;Shannigrahi, Susmit
• 通讯作者: Shannigrahi, Susmit