Online Cloud Transcoding and Distribution for Crowdsourced Live Game Video Streaming

doi:10.1109/TCSVT.2016.2556584

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Online Cloud Transcoding and Distribution for Crowdsourced Live Game Video Streaming
	Zheng, Yuanhuan 2,3,4; Wu, Di 2,3,4; Ke, Yihao 2,3,4; Yang, Can 5; Chen, Min 1; Zhang, Guoqing 6
刊名	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
	2017-08-01
卷号	27 期号:8 页码:1777-1789
关键词	Cloud computing crowdsourced streaming video distribution video games video transcoding
ISSN号	1051-8215
DOI	10.1109/TCSVT.2016.2556584
英文摘要	In recent years, empowered by rich media generation devices and convenient Internet access, Crowdsourced Live Game Video Streaming (CLGVS) has become one of the most popular Internet services. Twitch. tv, the most well-known CLGVS platform in the world, allows gamers to broadcast their gaming videos over the Internet. With the prevalence of mobile devices, viewers can watch gamers playing video games anywhere, anytime, on any devices (e.g., smartphones, tablets, or personal computers). However, the heterogeneity of user devices makes conventional solutions hard to ensure user-perceived quality. In this paper, we address the problem of cost-effective adaptive live game video streaming from the perspective of CLGVS service providers. Our purpose is to minimize the operational cost for CLGVS service providers by making live transcoding decisions, bit-rate adaptation decisions, and datacenter assignment decisions dynamically. Meanwhile, our algorithm also ensures good-enough service quality for viewers. Due to the diversity of game genres, we also consider game genres when designing our algorithm. To achieve the above purpose, we formulate the problem into a constrained stochastic optimization problem. By leveraging the Lyapunov optimization framework, we derive the online strategy with provable performance bound. To evaluate the effectiveness of our proposed algorithm, we further conduct a series of tracedriven simulations. The experimental results demonstrate the effectiveness of our algorithm in terms of operational cost and service quality. Our proposed algorithm can reduce operational cost by up to 50% while achieving good-enough viewer QoE compared with other alternatives.
资助项目	National Science Foundation of China[61272397] ; National Science Foundation of China[61572538] ; National Science Foundation of China[61174152] ; National Science Foundation of China[61331008] ; National Science Foundation of China[61572220] ; Guangdong Natural Science Funds for Distinguished Young Scholar[S20120011187]
WOS研究方向	Engineering
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000407400300014
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/6570]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wu, Di
作者单位	1.Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan 430074, Hubei, Peoples R China 2.Sun Yat Sen Univ, Dept Comp Sci, Guangzhou 510006, Guangdong, Peoples R China 3.Sun Yat Sen Univ, Guangdong Prov Key Lab Big Data Anal & Proc, Guangzhou 510006, Guangdong, Peoples R China 4.Natl Univ Def Technol, Collaborat Innovat Ctr High Performance Comp, Changsha 410073, Hunan, Peoples R China 5.South China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510006, Guangdong, Peoples R China 6.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zheng, Yuanhuan,Wu, Di,Ke, Yihao,et al. Online Cloud Transcoding and Distribution for Crowdsourced Live Game Video Streaming[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2017,27(8):1777-1789.
APA	Zheng, Yuanhuan,Wu, Di,Ke, Yihao,Yang, Can,Chen, Min,&Zhang, Guoqing.(2017).Online Cloud Transcoding and Distribution for Crowdsourced Live Game Video Streaming.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,27(8),1777-1789.
MLA	Zheng, Yuanhuan,et al."Online Cloud Transcoding and Distribution for Crowdsourced Live Game Video Streaming".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 27.8(2017):1777-1789.