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:2017
- 资助国家:加拿大
- 起止时间:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
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.
在过去的十年中,我们见证了新一代社会、移动和云计算网络多媒体处理和共享的快速发展,今天,高清视频甚至3D/多视图视频可以通过个人计算轻松捕获和浏览。用户现在主动参与到社交生态系统中,而不是被动地接收媒体内容,3G/4G 无线网络的深入渗透进一步推动了这场革命。智能移动设备与在线社交网络和媒体共享服务无缝集成,尽管带宽和计算资源日益丰富,但用户生成的媒体内容的数据量不断增加以及社交共享的无限覆盖给内容和网络服务提供商带来了前所未有的挑战。高度多样化的媒体内容类型、来源、分发渠道使得网络共享系统中不同组件之间的交互变得更加复杂。因此,我们提出以下关键问题:如何在海量客户之间有效地生成和分发最新的海量媒体内容。社交、移动、云计算和通信平台?除了可扩展性之外,能源也成为这些新一代计算和通信平台的一个关键问题。在移动终端方面,高度受限的电池库长期以来一直是云端、数据中心充电之间的服务时间的瓶颈。众所周知,计算和带宽密集型多媒体服务通常使用 CPU、GPU、存储和网络资源,这无疑使情况变得更糟,据预测,多媒体能耗将以每年 16% 的速度增长。会计为了实现任何人、任何时间、任何地点的可扩展且节能的媒体共享的最终目标,需要在一个连贯的框架下重新审视和联合优化各个方面的技术进步。在这项拟议的长期研究中,我们将在最新的计算和通信环境中解决上述挑战,我们将不仅关注各个组件的优化,还包括媒体内容生成、网络和云资源分配、社交媒体传播。 ,节能媒体计算和通信云和本地设备中的功能,而且它们的交互也给设计人员带来了额外的问题,对这个复杂系统中的模块及其交互的透彻理解将有助于社交媒体、IPTV、电影等基本服务的开发。 -新兴数字娱乐/商业世界中的需求、视频和交互式在线游戏。我们预计将在整个 5 年计划中培训六名博士生和九名硕士生,这些 HQP 与我们研究的技术创新一起将得到培训。帮助保持加拿大在发展和部署数字和社交媒体服务。
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
RoArray: Towards More Robust Indoor Localization Using Sparse Recovery with Commodity WiFi
- DOI:
10.1109/tmc.2018.2860018 - 发表时间:
2019-06-01 - 期刊:
- 影响因子:7.9
- 作者:
Gong, Wei;Liu, Jiangchuan - 通讯作者:
Liu, Jiangchuan
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
Reliable and Practical Bluetooth Backscatter With Commodity Devices
- DOI:
10.1109/tnet.2021.3068865 - 发表时间:
2021-08-01 - 期刊:
- 影响因子:3.7
- 作者:
Chen, Si;Zhang, Maolin;Liu, Jiangchuan - 通讯作者:
Liu, Jiangchuan
Understanding the Characteristics of Internet Short Video Sharing: A YouTube-Based Measurement Study
- DOI:
10.1109/tmm.2013.2265531 - 发表时间:
2013-08-01 - 期刊:
- 影响因子:7.3
- 作者:
Cheng, Xu;Liu, Jiangchuan;Dale, Cameron - 通讯作者:
Dale, Cameron
Propagation-based social-aware multimedia content distribution
基于传播的社交感知多媒体内容分发
- DOI:
10.1145/2523001.2523005 - 发表时间:
2013-10 - 期刊:
- 影响因子:0
- 作者:
Wang, Zhi;Zhu, Wenwu;Chen, Xiangwen;Sun, Lifeng;Liu, Jiangchuan;Chen, Minghua;Cui, Peng;Yang, Shiqiang - 通讯作者:
Yang, Shiqiang
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:
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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
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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
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NSERC Steacie 纪念奖学金提名
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468747-2015 - 财政年份:2016
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$ 3.35万 - 项目类别:
EWR Steacie Fellowships - Salary
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