Analyzing streaming performance in crowdsourcing-based video service systems

Yipeng Zhou; Liang Chen; Mi Jing; Zhong Ming; Dah Ming Chiu

doi:10.1109/LANMAN.2015.7114727

Analyzing streaming performance in crowdsourcing-based video service systems

Yipeng Zhou, Liang Chen, Mi Jing, Zhong Ming, Dah Ming Chiu

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

3 Citations (Scopus)

Abstract

Crowdsourcing-based video service systems, e.g., Thunder Crystal, are novel content distribution platforms composed by a large number of agent devices, acting like miniservers. Most agents are normal Internet users who would like to earn rewarded cash by uploading content through their devices. Compared with CDN, the bandwidth cost is much cheaper; while compared with Peer-to-Peer(P2P), the bandwidth supply is more stable. In this work, we create a stochastic model to analyze the live and VoD streaming performance in such crowdsourcingbased video service systems. Simulation is conducted to validate the accuracy of our analytical results.

Original language	English
Title of host publication	2015 IEEE 21st International Workshop on Local and Metropolitan Area Networks (LANMAN)
Publisher	IEEE:Institute of Electrical Electronics Engineers Inc
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781467367622
DOIs	https://doi.org/10.1109/LANMAN.2015.7114727
Publication status	Published - 2015
Externally published	Yes
Event	21st IEEE International Workshop on Local and Metropolitan Area Networks, LANMAN 2015 - Tsinghua, Beijing, China Duration: 22 Apr 2015 → 24 Apr 2015

Conference

Conference	21st IEEE International Workshop on Local and Metropolitan Area Networks, LANMAN 2015
Country/Territory	China
City	Tsinghua, Beijing
Period	22/04/15 → 24/04/15

Keywords

crowdsourcing
content distribution
video streaming
Content Distribution
Crowdsourcing
Video Streaming

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10.1109/LANMAN.2015.7114727

Cite this

@inproceedings{3be9560883ff406b96efc10a9eefcc9d,

title = "Analyzing streaming performance in crowdsourcing-based video service systems",

abstract = "Crowdsourcing-based video service systems, e.g., Thunder Crystal, are novel content distribution platforms composed by a large number of agent devices, acting like miniservers. Most agents are normal Internet users who would like to earn rewarded cash by uploading content through their devices. Compared with CDN, the bandwidth cost is much cheaper; while compared with Peer-to-Peer(P2P), the bandwidth supply is more stable. In this work, we create a stochastic model to analyze the live and VoD streaming performance in such crowdsourcingbased video service systems. Simulation is conducted to validate the accuracy of our analytical results.",

keywords = "crowdsourcing, content distribution, video streaming, Content Distribution, Crowdsourcing, Video Streaming",

author = "Yipeng Zhou and Liang Chen and Mi Jing and Zhong Ming and Chiu, {Dah Ming}",

year = "2015",

doi = "10.1109/LANMAN.2015.7114727",

language = "English",

pages = "1--6",

booktitle = "2015 IEEE 21st International Workshop on Local and Metropolitan Area Networks (LANMAN)",

publisher = "IEEE:Institute of Electrical Electronics Engineers Inc",

note = "21st IEEE International Workshop on Local and Metropolitan Area Networks, LANMAN 2015 ; Conference date: 22-04-2015 Through 24-04-2015",

}

Zhou, Y, Chen, L, Jing, M, Ming, Z & Chiu, DM 2015, Analyzing streaming performance in crowdsourcing-based video service systems. in 2015 IEEE 21st International Workshop on Local and Metropolitan Area Networks (LANMAN). IEEE:Institute of Electrical Electronics Engineers Inc, pp. 1-6, 21st IEEE International Workshop on Local and Metropolitan Area Networks, LANMAN 2015, Tsinghua, Beijing, China, 22/04/15. https://doi.org/10.1109/LANMAN.2015.7114727

Analyzing streaming performance in crowdsourcing-based video service systems. / Zhou, Yipeng; Chen, Liang; Jing, Mi et al.
2015 IEEE 21st International Workshop on Local and Metropolitan Area Networks (LANMAN). IEEE:Institute of Electrical Electronics Engineers Inc, 2015. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Analyzing streaming performance in crowdsourcing-based video service systems

AU - Zhou, Yipeng

AU - Chen, Liang

AU - Jing, Mi

AU - Ming, Zhong

AU - Chiu, Dah Ming

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Y1 - 2015

N2 - Crowdsourcing-based video service systems, e.g., Thunder Crystal, are novel content distribution platforms composed by a large number of agent devices, acting like miniservers. Most agents are normal Internet users who would like to earn rewarded cash by uploading content through their devices. Compared with CDN, the bandwidth cost is much cheaper; while compared with Peer-to-Peer(P2P), the bandwidth supply is more stable. In this work, we create a stochastic model to analyze the live and VoD streaming performance in such crowdsourcingbased video service systems. Simulation is conducted to validate the accuracy of our analytical results.

AB - Crowdsourcing-based video service systems, e.g., Thunder Crystal, are novel content distribution platforms composed by a large number of agent devices, acting like miniservers. Most agents are normal Internet users who would like to earn rewarded cash by uploading content through their devices. Compared with CDN, the bandwidth cost is much cheaper; while compared with Peer-to-Peer(P2P), the bandwidth supply is more stable. In this work, we create a stochastic model to analyze the live and VoD streaming performance in such crowdsourcingbased video service systems. Simulation is conducted to validate the accuracy of our analytical results.

KW - crowdsourcing

KW - content distribution

KW - video streaming

KW - Content Distribution

KW - Crowdsourcing

KW - Video Streaming

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DO - 10.1109/LANMAN.2015.7114727

M3 - Conference proceeding contribution

SP - 1

EP - 6

BT - 2015 IEEE 21st International Workshop on Local and Metropolitan Area Networks (LANMAN)

PB - IEEE:Institute of Electrical Electronics Engineers Inc

T2 - 21st IEEE International Workshop on Local and Metropolitan Area Networks, LANMAN 2015

Y2 - 22 April 2015 through 24 April 2015

ER -

Analyzing streaming performance in crowdsourcing-based video service systems

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