RINGS: Resilient Edge Networks with Data-driven Model-based Learning

RINGS:具有数据驱动的基于模型学习的弹性边缘网络

基本信息

  • 批准号:
    2148309
  • 负责人:
  • 金额:
    $ 100万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-05-01 至 2025-04-30
  • 项目状态:
    未结题

项目摘要

Next-generation cellular wireless edge networks with embedded computational capabilities and services have become a critical infrastructure that enables secure, robust, and high-performance applications in many domains, including education, business, transportation, healthcare, and entertainment. Meanwhile, the availability, reliability, and resiliency of edge networks are constantly being challenged by both the expected resource and demand variations, e.g., diurnal application traffic patterns, user mobility, and random link/node failures, as well as the unexpected level-shifts of operating conditions, e.g., traffic flash-crowds triggered by emerging events, major infrastructure failures after coordinated malicious attacks and natural disasters. The project is developing novel hybrid learning solutions for autonomous and resilient wireless edge networks from the angle of joint provisioning, allocation, and scheduling of communication and computation resources. It includes several research thrusts: 1) To achieve high efficiency and robustness in the face of expected demand/resource variations, the project team is investigating robust communication and computation resource provisioning at long time scales. At short time scales, the team is studying adaptive routing under the Model Predictive Control framework coupled with Adaptive Dynamic Programming (ADP). The researchers are also investigating adaptive scheduling of virtual middle-boxes using a domain-knowledge enriched reinforcement learning framework. 2) To recover from major disruptions, the project team is studying how to progressively bring network services back by strategically utilizing backup and external resources. Resilient progressive recovery is achieved through joint provisioning, routing, and scheduling based on hybrid online learning. The stability of the recovery process is analyzed under the Robust ADP framework. 3) Individual research components are being evaluated using mathematical analysis, trace-driven simulations, and experiments on the CloudLab testbed. The project is generating new theories and algorithms on hybrid learning that can be used to study complex systems in other domains. Valuable research opportunities are being created for graduate and undergraduate students, especially women and minority students.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.
具有嵌入式计算能力和服务的下一代蜂窝无线边缘网络已成为关键基础设施,可在教育、商业、交通、医疗保健和娱乐等许多领域实现安全、稳健和高性能的应用。同时,边缘网络的可用性、可靠性和弹性不断受到预期资源和需求变化的挑战,例如,昼夜应用业务模式、用户移动性和随机链路/节点故障,以及操作条件的意外电平偏移,例如,突发交通事件-由突发事件、恶意攻击和自然灾害引发的重大基础设施故障引发的人群。 该项目从通信和计算资源的联合供应、分配和调度的角度,为自主和弹性无线边缘网络开发新型混合学习解决方案。它包括几个研究重点:1)为了在面对预期的需求/资源变化时实现高效率和鲁棒性,项目团队正在研究长时间尺度上的鲁棒通信和计算资源供应。在短时间尺度上,该团队正在研究模型预测控制框架下的自适应路由与自适应动态规划(ADP)。研究人员还在研究使用领域知识丰富的强化学习框架对虚拟中间盒进行自适应调度。2)为了从重大中断中恢复,项目团队正在研究如何通过战略性地利用备份和外部资源逐步恢复网络服务。通过基于混合在线学习的联合配置、路由和调度实现弹性渐进式恢复。在Robust ADP框架下分析了恢复过程的稳定性。3)正在使用数学分析,跟踪驱动的模拟和CloudLab测试平台上的实验来评估各个研究组件。该项目正在产生关于混合学习的新理论和算法,可用于研究其他领域的复杂系统。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(11)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
具有长期公平性约束的在线不安分多臂强盗
Oblivious Routing Using Learning Methods
使用学习方法的不经意路由
  • DOI:
    10.1109/globecom54140.2023.10437366
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Usubütün, Ufuk;Kodialam, Murali;Lakshman, T. V.;Panwar, Shivendra
  • 通讯作者:
    Panwar, Shivendra
Index-aware reinforcement learning for adaptive video streaming at the wireless edge
Fast Computation Flow Restoration with Path-Based Two-Stage Traffic Engineering
基于路径的两阶段流量工程快速计算流恢复
A Lyapunov characterization of robust policy optimization
鲁棒策略优化的李亚普诺夫表征
  • DOI:
    10.1007/s11768-023-00163-w
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    1.4
  • 作者:
    Cui, Leilei;Jiang, Zhong-Ping
  • 通讯作者:
    Jiang, Zhong-Ping
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Yong Liu其他文献

CX3CL1/CX3CR1 Axis Plays a Key Role in Ischemia-Induced Oligodendrocyte Injury via p38MAPK Signaling Pathway
CX3CL1/CX3CR1 轴通过 p38MAPK 信号通路在缺血诱导的少突胶质细胞损伤中发挥关键作用
  • DOI:
    10.1007/s12035-015-9339-3
  • 发表时间:
    2015-07
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiao-Mei Wu;Yong Liu
  • 通讯作者:
    Yong Liu
Media Coverage of Climate Change and Sustainable Product Consumption: Evidence from the Hybrid Vehicle Market
媒体对气候变化和可持续产品消费的报道:来自混合动力汽车市场的证据
  • DOI:
    10.1177/0022243719865898
  • 发表时间:
    2019-09
  • 期刊:
  • 影响因子:
    6.1
  • 作者:
    Yubo Chen;Mrinal Ghosh;Yong Liu;Liang Zhao
  • 通讯作者:
    Liang Zhao
Navigation of Chang’E-2 asteroid exploration mission and the minimum distance estimation during its fly-by of Toutatis
嫦娥二号小行星探测任务导航及飞越图塔蒂斯过程中的最小距离估算
  • DOI:
    10.1016/j.asr.2014.10.005
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    2.6
  • 作者:
    Jianfeng Cao;Yong Liu;Songjie Hu;Lei Liu;Geshi Tang;Yong Huang;Peijia Li
  • 通讯作者:
    Peijia Li
Individualized morphometric similarity predicts body mass index and food approach behavior in school-age children.
个体化的形态测量相似性可以预测学龄儿童的体重指数和食物接近行为。
  • DOI:
    10.1093/cercor/bhac380
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Yulin Wang;D. Dong;Ximei Chen;Xiao Gao;Yong Liu;Mingyue Xiao;Cheng Guo;Hong Chen
  • 通讯作者:
    Hong Chen
Different Regional Patterns in Gray Matter-based Age Prediction
基于灰质的年龄预测的不同区域模式
  • DOI:
    10.1007/s12264-022-01016-3
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    5.6
  • 作者:
    Nianming Zuo;Tianyu Hu;Hao Liu;Jing Sui;Yong Liu;Tianzi Jiang
  • 通讯作者:
    Tianzi Jiang

Yong Liu的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Yong Liu', 18)}}的其他基金

NeTS: Medium: Object-Centric, View-Adaptive and Progressive Coding and Streaming of Point Cloud Video
NeTS:Medium:以对象为中心、视图自适应和渐进式的点云视频编码和流式传输
  • 批准号:
    2312839
  • 财政年份:
    2023
  • 资助金额:
    $ 100万
  • 项目类别:
    Continuing Grant
NeTS: Small: Dynamic Predictive Streaming of 360 Degree Video
NeTS:小型:360 度视频的动态预测流
  • 批准号:
    1816500
  • 财政年份:
    2018
  • 资助金额:
    $ 100万
  • 项目类别:
    Standard Grant
CAREER: Next-Generation Peer-to-Peer Streaming: Theory and Design
职业:下一代点对点流媒体:理论与设计
  • 批准号:
    0953682
  • 财政年份:
    2010
  • 资助金额:
    $ 100万
  • 项目类别:
    Continuing Grant
NeTS:Small:View-Upload Decoupling: A Redesign of Multi-Channel P2P Video Systems
NeTS:Small:查看-上传解耦:多通道 P2P 视频系统的重新设计
  • 批准号:
    0916734
  • 财政年份:
    2009
  • 资助金额:
    $ 100万
  • 项目类别:
    Standard Grant

相似海外基金

A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain
以数据为中心的移动边缘平台,实现弹性物流
  • 批准号:
    LP220200893
  • 财政年份:
    2024
  • 资助金额:
    $ 100万
  • 项目类别:
    Linkage Projects
Collaborative Research: CISE: Large: Integrated Networking, Edge System and AI Support for Resilient and Safety-Critical Tele-Operations of Autonomous Vehicles
合作研究:CISE:大型:集成网络、边缘系统和人工智能支持自动驾驶汽车的弹性和安全关键远程操作
  • 批准号:
    2321531
  • 财政年份:
    2023
  • 资助金额:
    $ 100万
  • 项目类别:
    Continuing Grant
Collaborative Research: CISE: Large: Integrated Networking, Edge System and AI Support for Resilient and Safety-Critical Tele-Operations of Autonomous Vehicles
合作研究:CISE:大型:集成网络、边缘系统和人工智能支持自动驾驶汽车的弹性和安全关键远程操作
  • 批准号:
    2321532
  • 财政年份:
    2023
  • 资助金额:
    $ 100万
  • 项目类别:
    Continuing Grant
CAREER: Leveraging physical properties of modern flash memory chips for resilient, secure, and energy-efficient edge storage systems
职业:利用现代闪存芯片的物理特性打造弹性、安全且节能的边缘存储系统
  • 批准号:
    2346853
  • 财政年份:
    2023
  • 资助金额:
    $ 100万
  • 项目类别:
    Continuing Grant
Trustworthy and Resilient Decentralised Intelligence for Edge Systems
适用于边缘系统的值得信赖且有弹性的去中心化智能
  • 批准号:
    10066667
  • 财政年份:
    2023
  • 资助金额:
    $ 100万
  • 项目类别:
    EU-Funded
RINGS: Resilient Edge Ecosystem for Collaborative and Trustworthy Disaster Response (REsCue)
RINGS:用于协作和值得信赖的灾难响应的弹性边缘生态系统(REsCue)
  • 批准号:
    2148358
  • 财政年份:
    2022
  • 资助金额:
    $ 100万
  • 项目类别:
    Continuing Grant
Collaborative Research: CISE-MSI: RPEP: CPS: A Resilient Cyber-Physical Security Framework for Next-Generation Distributed Energy Resources at Grid Edge
合作研究:CISE-MSI:RPEP:CPS:电网边缘下一代分布式能源的弹性网络物理安全框架
  • 批准号:
    2219733
  • 财政年份:
    2022
  • 资助金额:
    $ 100万
  • 项目类别:
    Standard Grant
Resilient and Secure Edge Computing for Untrusted Distributed Systems
适用于不可信分布式系统的弹性且安全的边缘计算
  • 批准号:
    NI220100111
  • 财政年份:
    2022
  • 资助金额:
    $ 100万
  • 项目类别:
    National Intelligence and Security Discovery Research Grants
CAREER: Leveraging physical properties of modern flash memory chips for resilient, secure, and energy-efficient edge storage systems
职业:利用现代闪存芯片的物理特性打造弹性、安全且节能的边缘存储系统
  • 批准号:
    2145311
  • 财政年份:
    2022
  • 资助金额:
    $ 100万
  • 项目类别:
    Continuing Grant
RINGS: REALTIME: Resilient Edge-cloud Autonomous Learning with Timely Inferences
RINGS:实时:具有及时推理能力的弹性边缘云自主学习
  • 批准号:
    2148104
  • 财政年份:
    2022
  • 资助金额:
    $ 100万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了