Scalable and Energy-Efficient Multimedia Content Sharing over New Generation Computing and Communication Platforms

通过新一代计算和通信平台实现可扩展且节能的多媒体内容共享

基本信息

  • 批准号:
    RGPIN-2014-04765
  • 负责人:
  • 金额:
    $ 3.35万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2015
  • 资助国家:
    加拿大
  • 起止时间:
    2015-01-01 至 2016-12-31
  • 项目状态:
    已结题

项目摘要

In the past decade, we have witnessed the fast evolution toward a new generation of social, mobile and cloud computing for networked multimedia processing and sharing. Today, high-definition videos and even 3D/multiview videos can be readily captured and browsed by personal computing devices, and conveniently processed and stored with remote cloud resources. The users are now actively engaged to be part of a social ecosystem, rather than passively receiving media content. The revolution is being driven further by the deep penetration of 3G/4G wireless networks and smart mobile devices that are seamlessly integrated with online social networking and media sharing services. Despite the increasingly abundant bandwidth and computation resources, the ever increasing data volume of user generated media content and the boundless coverage of socialized sharing have presented unprecedented challenges to both content and network service providers. The highly diversified media content types, origins, distribution channels further impose complex interactions among the different components in a networked sharing system. We thus ask the following critical question: how can the massive media content be efficiently generated and distributed among massive clients with the latest social, mobile, and cloud computing and communication platforms? Besides scalability, energy has become a critical concern with these new generation computation and communication platforms, too. On the mobile terminal side, the highly constrained battery reservoir has long been a bottleneck in service time between recharges; on the cloud side, the datacenters are known to be power-hungry. The computation- and bandwidth-intensive multimedia services that extensively use CPU, GPU, storage, and network resources certainly make the situation worse. Is has been predicted that multimedia energy consumption is rising at 16% per year, accounting for half of the annual operating expenditure of these services. To achieve the ultimate goals of scalable and energy-efficient media sharing for anyone, anytime, and anywhere, technology advances in various aspects need to be re-examined and jointly optimized under a coherent framework. In this proposed long-term research, we will address the above challenges in the latest computing and communication environments. We will focus not only on the optimization of individual components, ranging from media content generation, network and cloud resource allocation, social media propagation, to energy-efficient media computation and communications in cloud and in local devices, but also on their interactions that pose additional problems to designers. A thorough understanding of the modules in this complex system as well as their interactions will facilitate the development of such essential services as social media, IPTV, movie-on-demand, video conferencing, and interactive online gaming in the emerging digital entertainment/business world. We expect six PhD and nine MSc students be trained throughout the 5-year program. These HQPs, together with the technology innovations from our research, will help with maintaining Canada’s lead in the development and deployment of digital and social media services.
在过去的十年里,我们见证了网络多媒体处理和共享的新一代社交、移动和云计算的快速发展。如今,高清视频甚至3D/多视图视频都可以通过个人计算设备轻松捕获和浏览,并方便地通过远程云资源进行处理和存储。用户现在积极参与到社会生态系统中,而不是被动地接受媒体内容。3G/4G无线网络和智能移动设备的深度渗透将进一步推动这场革命,这些设备与在线社交网络和媒体共享服务无缝集成。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Liu, Jiangchuan其他文献

Propagation-based social-aware multimedia content distribution
基于传播的社交感知多媒体内容分发
Fast and Accurate Detection of Unknown Tags for RFID Systems - Hash Collisions are Desirable
快速准确地检测 RFID 系统的未知标签 - 哈希冲突是可取的
  • DOI:
    10.1109/tnet.2019.2957239
  • 发表时间:
    2020-02-01
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Liu, Xiulong;Chen, Sheng;Liu, Jiangchuan
  • 通讯作者:
    Liu, Jiangchuan
WHEN RFID MEETS DEEP LEARNING: EXPLORING COGNITIVE INTELLIGENCE FOR ACTIVITY IDENTIFICATION
  • DOI:
    10.1109/mwc.2019.1800405
  • 发表时间:
    2019-06-01
  • 期刊:
  • 影响因子:
    12.9
  • 作者:
    Fan, Xiaoyi;Wang, Fangxin;Liu, Jiangchuan
  • 通讯作者:
    Liu, Jiangchuan
RoArray: Towards More Robust Indoor Localization Using Sparse Recovery with Commodity WiFi
Lightweight Imitation Learning for Real-Time Cooperative Service Migration
  • DOI:
    10.1109/tmc.2023.3239845
  • 发表时间:
    2024-02-01
  • 期刊:
  • 影响因子:
    7.9
  • 作者:
    Ning, Zhaolong;Chen, Handi;Liu, Jiangchuan
  • 通讯作者:
    Liu, Jiangchuan

Liu, Jiangchuan的其他文献

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

Towards Highly Interactive Networked Multimedia Services with Crowd Intelligence
通过群体智能实现高度交互的网络多媒体服务
  • 批准号:
    RGPIN-2019-04040
  • 财政年份:
    2022
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Towards Highly Interactive Networked Multimedia Services with Crowd Intelligence
通过群体智能实现高度交互的网络多媒体服务
  • 批准号:
    RGPIN-2019-04040
  • 财政年份:
    2021
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Towards Highly Interactive Networked Multimedia Services with Crowd Intelligence
通过群体智能实现高度交互的网络多媒体服务
  • 批准号:
    RGPIN-2019-04040
  • 财政年份:
    2020
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Understand the challenges and potentials of serverless computing for realtime networked multimedia
了解实时网络多媒体的无服务器计算的挑战和潜力
  • 批准号:
    543280-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Engage Grants Program
Towards Highly Interactive Networked Multimedia Services with Crowd Intelligence
通过群体智能实现高度交互的网络多媒体服务
  • 批准号:
    RGPIN-2019-04040
  • 财政年份:
    2019
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Scalable and Energy-Efficient Multimedia Content Sharing over New Generation Computing and Communication Platforms
通过新一代计算和通信平台实现可扩展且节能的多媒体内容共享
  • 批准号:
    RGPIN-2014-04765
  • 财政年份:
    2018
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Scalable and Energy-Efficient Multimedia Content Sharing over New Generation Computing and Communication Platforms
通过新一代计算和通信平台实现可扩展且节能的多媒体内容共享
  • 批准号:
    RGPIN-2014-04765
  • 财政年份:
    2017
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Collaborative edge and cloud learning: Potentials and solutions
协作边缘和云学习:潜力和解决方案
  • 批准号:
    522129-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Engage Grants Program
Scalable and Energy-Efficient Multimedia Content Sharing over New Generation Computing and Communication Platforms
通过新一代计算和通信平台实现可扩展且节能的多媒体内容共享
  • 批准号:
    RGPIN-2014-04765
  • 财政年份:
    2016
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Deployment of networking and cloud architectures for intelligent camera network
智能摄像机网络的网络和云架构部署
  • 批准号:
    507132-2016
  • 财政年份:
    2016
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Engage Grants Program

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