DocumentCode :
23075
Title :
Cloud-Assisted Live Streaming for Crowdsourced Multimedia Content
Author :
Fei Chen ; Cong Zhang ; Feng Wang ; Jiangchuan Liu ; Xiaofeng Wang ; Yuan Liu
Author_Institution :
Sch. of Digital Media, Jiangnan Univ., Wuxi, China
Volume :
17
Issue :
9
fYear :
2015
fDate :
Sept. 2015
Firstpage :
1471
Lastpage :
1483
Abstract :
Empowered by today´s rich tools for media generation and distribution, and the convenient Internet access , streaming crowdsourced multimedia content (crowdsourced streaming, in brief) generalizes the single-source streaming paradigm by including massive contributors for a video/data channel. It calls a joint optimization along the path from crowdsourcers , through streaming servers, to the end-users to minimize the overall latency. The dynamics of the video sources, together with the globalized request demands and the high computation demand from each sourcer, make crowdsourced live streaming challenging even with powerful support from modern cloud computing. In this paper, we present a generic framework that facilitates a cost-effective cloud service for crowdsourced live streaming. Through adaptively leasing, the cloud servers can be provisioned in a fine granularity to accommodate geo-distributed video crowdsourcers. We present an optimal solution to deal with service migration among cloud instances of diverse lease prices. It also addresses the location impact to the streaming quality. To understand the performance of the proposed strategies in the real world, we have built a prototype system running over the planetlab and the Amazon/Microsoft Cloud. Our extensive experiments demonstrate that the effectiveness of our solution in terms of deployment cost and streaming quality.
Keywords :
cloud computing; costing; file servers; multimedia computing; quality of service; video streaming; Amazon-Microsoft cloud; Internet access; cloud-assisted live streaming; cost-effective cloud service; crowdsourced live streaming; crowdsourced multimedia content; crowdsourced multimedia content streaming; deployment cost; globalized request demands; joint optimization; lease prices; media generation; single-source streaming paradigm; streaming quality; streaming servers; video sources; video-data channel; Bandwidth; Cloud computing; Media; Multimedia communication; Production; Servers; Streaming media; Cloud computing; crowdsourced multimedia content; live streaming;
fLanguage :
English
Journal_Title :
Multimedia, IEEE Transactions on
Publisher :
ieee
ISSN :
1520-9210
Type :
jour
DOI :
10.1109/TMM.2015.2460193
Filename :
7165666
Link To Document :
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