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Collaborative Research: Elements: EdgeVPN: Seamless Secure VirtualNetworking for Edge and Fog Computing

Collaborative Research: Elements: EdgeVPN: Seamless Secure VirtualNetworking for Edge and Fog Computing
协作研究:要素:EdgeVPN:用于边缘和雾计算的无缝安全虚拟网络
批准号:
2004323
负责人:
Cayelan Carey
金额:
$8.04万
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
项目状态:
已结题
起止时间:
2020-06-01 至 2024-05-31

项目摘要

项目成果

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中文摘要
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英文摘要
Edge computing encompasses a variety of technologies that are poised to enable new applications across the Internet that support data capture, storage, processing and communication near the edge of the Internet. Edge computing environments pose new challenges, as devices are heterogeneous, widely distributed geographically, and physically closer to end users, such as mobile and Internet-of-Things (IoT) devices. This project develops EdgeVPN, a software element that addresses a fundamental challenge of networking for edge computing applications: establishing Virtual Private Networks (VPNs) to logically interconnect edge devices, while preserving privacy and integrity of data as it flows through Internet links. More specifically, the EdgeVPN software developed in this project addresses technical challenges in creating virtual networks that self-organize into scalable, resilient systems that can significantly lower the barrier to entry to deploying a private communication fabric in support of existing and future edge applications. There are a wide range of applications that are poised to benefit from EdgeVPN; in particular, this project is motivated by use cases in ecological monitoring and forecasting for freshwater lakes and reservoirs, situational awareness and command-and-control in defense applications, and smart and connected cities. Because EdgeVPN is open-source and freely available to the public, the software will promote progress of science and benefit society at large by contributing to the set of tools available to researchers, developers and practitioners to catalyze innovation and future applications in edge computing.Edge computing applications need to be deployed across multiple network providers, and harness low-latency, high-throughput processing of streams of data from large numbers of distributed IoT devices. Achieving this goal will demand not only advances in the underlying physical network, but also require a trustworthy communication fabric that is easy to use, and operates atop the existing Internet without requiring changes to the infrastructure. The EdgeVPN open-source software developed in this project is an overlay virtual network that allows seamless private networking among groups of edge computing resources, as well as cloud resources. EdgeVPN is novel in how it integrates: 1) a flexible group management and messaging service to create and manage peer-to-peer VPN tunnels grouping devices distributed across the Internet, 2) a scalable structured overlay network topology supporting primitives for unicast, multicast and broadcast, 3) software-defined networking (SDN) as the control plane to support message routing through the peer-to-peer data path, and 4) network virtualization and integration with virtualized compute/storage endpoints with Docker containers to allow existing Internet applications to work unmodified. EdgeVPN self-organizes an overlay topology of tunnels that enables encrypted, authenticated communication among edge devices connected across disparate providers in the Internet, possibly subject to mobility and constraints imposed by firewalls and Network Address Translation, NATs. It builds upon standard SDN interfaces to implement packet manipulation primitives for virtualization supporting the ubiquitous Ethernet and IP-layer protocols.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.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
Demo: Software-defined Virtual Networking Across Multiple Edge and Cloud Providers with EdgeVPN.io
演示:使用 EdgeVPN.io 跨多个边缘和云提供商的软件定义虚拟网络
DOI: 10.1109/icdcs51616.2021.00107
发表时间: 2021
期刊: 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS
影响因子: --
作者: [Figueiredo, Renato, Subratie, Kensworth]
通讯作者: Subratie, Kensworth
Edge-to-cloud Virtualized Cyberinfrastructure for Near Real-time Water Quality Forecasting in Lakes and Reservoirs
用于湖泊和水库近实时水质预测的边缘到云虚拟化网络基础设施
DOI: 10.1109/escience51609.2021.00024
发表时间: 2021
期刊: 2021 IEEE 17th International Conference on eScience (eScience
影响因子: --
作者: [Daneshmand, Vahid, Breef-Pilz, Adrienne, Carey, Cayelan C., Jin, Yuqi, Ku, Yun-Jung, Subratie, Kensworth C., Thomas, R. Quinn, Figueiredo, Renato J.]
通讯作者: Figueiredo, Renato J.
EdgeVPN: Self-organizing layer-2 virtual edge networks
EdgeVPN:自组织二层虚拟边缘网络
DOI: 10.1016/j.future.2022.10.007
发表时间: 2023
期刊: Future Generation Computer Systems
影响因子: --
作者: [Subratie, Kensworth, Aditya, Saumitra, Figueiredo, Renato J.]
通讯作者: Figueiredo, Renato J.
Demo: EdgeVPN.io: Open-source Virtual Private Network for Seamless Edge Computing with Kubernetes
演示:EdgeVPN.io:使用 Kubernetes 实现无缝边缘计算的开源虚拟专用网络
DOI: 10.1109/sec50012.2020.00032
发表时间: 2020
期刊: 2020 IEEE/ACM Symposium on Edge Computing (SEC
影响因子: --
作者: [Figueiredo, Renato, Subratie, Kensworth]
通讯作者: Subratie, Kensworth
LTREB: Integrating real-time open data pipelines and forecasting to quantify ecosystem predictability at day to decadal scales
Global Centers Track 2: Building the Global Center for Forecasting Freshwater Futures
Collaborative Research: URoL:ASC: Applying rules of life to forecast emergent behavior of phytoplankton and advance water quality management
MSA: Macrosystems EDDIE: An undergraduate training program in macrosystems science and ecological forecasting
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)