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CAREER: WolfPack: An Application-Network Co-Design Framework for Performance-Guaranteed Real-time Applications at the Network Edge

CAREER: WolfPack: An Application-Network Co-Design Framework for Performance-Guaranteed Real-time Applications at the Network Edge
职业:WolfPack:用于网络边缘性能保证的实时应用程序的应用程序网络协同设计框架
批准号:
2045539
负责人:
Ruozhou Yu
金额:
$50.57万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-07-01 至 2026-06-30

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中文摘要
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英文摘要
Distributed real-time applications constitute the core of many life-changing technologies. To satisfy the real-time requirement of such applications, edge computing provides a low-latency and high-throughput computing environment near the end devices and users. However, the complex structures of modern applications significantly hinder providing end-to-end real-time guarantee to these applications, especially in face of the also complex structures and dynamic nature of various edge computing networks. This project investigates the joint optimization and configuration of edge applications and the edge network, for providing end-to-end performance guarantee to modern distributed real-time applications.Specifically, this CAREER project aims to co-design the provisioning of both computing and network resources in edge computing, to provide end-to-end performance guarantee for a wide range of applications and edge network scenarios under a general optimization framework named the WolfPack. The project will focus on three complementary research thrusts: (i) a general packing-based optimization framework for applications and edge networks with arbitrary structures, (ii) a set of modeling and algorithmic tools for handling risks and providing robustness in face of application and network dynamics, and (iii) economic mechanisms for incentivized edge resource provisioning with performance guarantees. Collectively, the outcomes of this research will contribute to not only the core knowledge of edge resource management and performance guarantee, but also the literature of packing/covering optimization, truthful mechanism design, and optimization-based system design.The research component of this project will empower life-changing real-time applications that benefit citizens and society, including but not limited to smart city, connected industry, autonomous driving. The research outcomes will be broadly disseminated through journal/conference publications, tutorial papers, public talks, research seminars, and course teaching. Research is closely integrated with education to advance the curriculum of undergraduate and graduate education with renewed materials and practical teaching tools, promote active STEM research by students in K-12 through postgraduate levels, and increase awareness and participation in computing from female and underrepresented students. All research artifacts and outcomes of this project will be publicly available on the project website (https://people.engr.ncsu.edu/ryu5/project_wolfpack.php). The website will be actively maintained for at least the entire period of this project (five years), and also routinely updated after the end of this project to include further research advances following from this research.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(7)
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科研奖励(0)
会议论文
VeriEdge: Verifying and Enforcing Service Level Agreements for Pervasive Edge Computing
VeriEdge:验证和执行普适边缘计算的服务级别协议
DOI: --
发表时间: 2023
期刊: IEEE International Conference on Computer Communications (INFOCOM
影响因子: --
作者: [Wang, Xiaojian, Yu, Ruozhou, Yang, Dejun, Gu, Huayue, Li, Zhouyu]
通讯作者: Li, Zhouyu
Principles and Practices for Application-Network Co-Design in Edge Computing
边缘计算应用网络协同设计的原则与实践
DOI: 10.1109/mnet.128.2200430
发表时间: 2022
期刊: IEEE Network
影响因子: 9.3
作者: [Yu, Ruozhou, Xue, Guoliang]
通讯作者: Xue, Guoliang
DOI: 10.1109/globecom48099.2022.10000981
发表时间: 2022-12
期刊: GLOBECOM 2022 - 2022 IEEE Global Communications Conference
影响因子: --
作者: [Fangtong Zhou;Ruozhou Yu;Zhouyu Li;Huayue Gu;Xiaojian Wang]
通讯作者: Fangtong Zhou;Ruozhou Yu;Zhouyu Li;Huayue Gu;Xiaojian Wang
DOI: 10.1109/globecom46510.2021.9685155
发表时间: 2021-12
期刊: 2021 IEEE Global Communications Conference (GLOBECOM)
影响因子: --
作者: [Ruozhou Yu;Szu-Yu Lo;Fangtong Zhou;G. Xue]
通讯作者: Ruozhou Yu;Szu-Yu Lo;Fangtong Zhou;G. Xue
6
    Collaborative Research: CNS Core: Small: Robust Resource Planning and Orchestration to Satisfy End-to-End SLA Requirements in Mobile Edge Networks
    • 批准号:
      2007391
    • 项目类别:
      Standard Grant
    • 资助金额:
      $14.25万
    • 财政年份:
      2020
    • 负责人:
      Ruozhou Yu
    • 依托单位:
    SHF: Small: Inter-Request Workflow and Dataflow in Web Applications: a Modeling Framework and its Applications
    • 批准号:
      2008056
    • 项目类别:
      Standard Grant
    • 资助金额:
      $35.0万
    • 财政年份:
      2020
    • 负责人:
      Ruozhou Yu
    • 依托单位: