Leading edge: an integrated communication and computation framework for mobile edge computing

前沿:移动边缘计算的集成通信和计算框架

基本信息

  • 批准号:
    506678-2017
  • 负责人:
  • 金额:
    $ 12.7万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Strategic Projects - Group
  • 财政年份:
    2018
  • 资助国家:
    加拿大
  • 起止时间:
    2018-01-01 至 2019-12-31
  • 项目状态:
    已结题

项目摘要

With an explosion of available data and the consequent need for enormous data-processing capabilities in the emerging big data movement and the IoT environment, both communication and computation are paramount to future wireless applications and services. Therefore, future wireless systems are expected to transition away from the model of passive information conduits, into active providers and creators of info-computation resources in an integrated communication-computation paradigm. Toward this end, software-driven components will play a central role in future wireless networks. In particular, the nascent Mobile Edge Computing (MEC) technology may be viewed as a natural outcome of the evolution of mobile base stations from passively serving purely communication functions to becoming an integral part of the new communication-computation paradigm. MEC is characterized by the sharing of communication and computation resources at the mobile edge through Virtual Machines and Network Function Virtulization in a Software-Defined Networking architecture. In this project, we aim to develop novel technologies that leverage the transformative synergy between communication and computation in emerging MEC systems to offer services and applications that meet the requirements of IoT, Big Data, cloud computing, and mobility. We will create novel theories and methods to promote computing at the network edge and its integration with mobile communication services in MEC systems. We will also develop novel architectures and joint communication-computation technologies to sustain and motivate evolving mobile applications and services. This project will create substantial opportunity for HQP training, and it will generate technology insights to help our industrial partners maintain their competitive advantage in the global information and communication market.
随着可用数据的爆炸式增长以及新兴的大数据运动和物联网环境对巨大数据处理能力的需求,通信和计算对于未来的无线应用和服务至关重要。因此,未来的无线系统有望从被动的信息管道的模型,转变为主动的提供者和创造者的信息计算资源的综合通信计算范式。为此,软件驱动的组件将在未来的无线网络中发挥核心作用。特别地,新生的移动的边缘计算(MEC)技术可以被视为移动的基站从被动地服务于纯粹的通信功能到成为新的通信计算范例的组成部分的演进的自然结果。MEC的特点是通过软件定义网络架构中的虚拟机和网络功能虚拟化在移动的边缘共享通信和计算资源。在该项目中,我们的目标是开发新型技术,利用新兴MEC系统中通信和计算之间的变革性协同作用,提供满足物联网、大数据、云计算和移动性要求的服务和应用程序。我们将创造新的理论和方法,以促进计算在网络边缘和它的集成与移动的通信服务在MEC系统。我们还将开发新的架构和联合通信计算技术,以支持和推动不断发展的移动的应用程序和服务。该项目将为HQP培训创造大量机会,并将产生技术见解,以帮助我们的工业合作伙伴在全球信息和通信市场保持竞争优势。

项目成果

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会议论文数量(0)
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Liang, Ben其他文献

Resource Sharing of a Computing Access Point for Multi-User Mobile Cloud Offloading with Delay Constraints
  • DOI:
    10.1109/tmc.2018.2815533
  • 发表时间:
    2018-12-01
  • 期刊:
  • 影响因子:
    7.9
  • 作者:
    Chen, Meng-Hsi;Dong, Min;Liang, Ben
  • 通讯作者:
    Liang, Ben
Robust Online Learning against Malicious Manipulation and Feedback Delay With Application to Network Flow Classification
Adaptive cluster-based data collection in sensor networks with direct sink access
  • DOI:
    10.1109/tmc.2007.70769
  • 发表时间:
    2008-07-01
  • 期刊:
  • 影响因子:
    7.9
  • 作者:
    Lotfinezhad, Mahdi;Liang, Ben;Sousa, Elvino S.
  • 通讯作者:
    Sousa, Elvino S.
Online Resource Procurement and Allocation in a Hybrid Edge-Cloud Computing System
Multi-User Multi-Task Offloading and Resource Allocation in Mobile Cloud Systems

Liang, Ben的其他文献

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{{ truncateString('Liang, Ben', 18)}}的其他基金

Collaborative Communication and Computation for Hierarchical Learning at the Mobile Edge
移动边缘分层学习的协作通信和计算
  • 批准号:
    RGPIN-2020-05886
  • 财政年份:
    2022
  • 资助金额:
    $ 12.7万
  • 项目类别:
    Discovery Grants Program - Individual
Collaborative Communication and Computation for Hierarchical Learning at the Mobile Edge
移动边缘分层学习的协作通信和计算
  • 批准号:
    RGPIN-2020-05886
  • 财政年份:
    2021
  • 资助金额:
    $ 12.7万
  • 项目类别:
    Discovery Grants Program - Individual
Leading edge: an integrated communication and computation framework for mobile edge computing
前沿:移动边缘计算的集成通信和计算框架
  • 批准号:
    506678-2017
  • 财政年份:
    2020
  • 资助金额:
    $ 12.7万
  • 项目类别:
    Strategic Projects - Group
Collaborative Communication and Computation for Hierarchical Learning at the Mobile Edge
移动边缘分层学习的协作通信和计算
  • 批准号:
    RGPIN-2020-05886
  • 财政年份:
    2020
  • 资助金额:
    $ 12.7万
  • 项目类别:
    Discovery Grants Program - Individual
Integrated Communication and Computation Resource Management for Mobile Cloud Computing
移动云计算的综合通信与计算资源管理
  • 批准号:
    RGPIN-2015-05506
  • 财政年份:
    2019
  • 资助金额:
    $ 12.7万
  • 项目类别:
    Discovery Grants Program - Individual
Network traffic classification with machine learning and edge computing
利用机器学习和边缘计算进行网络流量分类
  • 批准号:
    517685-2017
  • 财政年份:
    2019
  • 资助金额:
    $ 12.7万
  • 项目类别:
    Collaborative Research and Development Grants
Multi-tier wireless networking with massive MIMO**
具有大规模 MIMO 的多层无线网络**
  • 批准号:
    531236-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 12.7万
  • 项目类别:
    Collaborative Research and Development Grants
Network traffic classification with machine learning and edge computing
利用机器学习和边缘计算进行网络流量分类
  • 批准号:
    517685-2017
  • 财政年份:
    2018
  • 资助金额:
    $ 12.7万
  • 项目类别:
    Collaborative Research and Development Grants
Integrated Communication and Computation Resource Management for Mobile Cloud Computing
移动云计算的综合通信与计算资源管理
  • 批准号:
    RGPIN-2015-05506
  • 财政年份:
    2018
  • 资助金额:
    $ 12.7万
  • 项目类别:
    Discovery Grants Program - Individual
Integrated Communication and Computation Resource Management for Mobile Cloud Computing
移动云计算的综合通信与计算资源管理
  • 批准号:
    RGPIN-2015-05506
  • 财政年份:
    2017
  • 资助金额:
    $ 12.7万
  • 项目类别:
    Discovery Grants Program - Individual

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  • 批准号:
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