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- W1549679984 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." @default.
- W1549679984 created "2016-06-24" @default.
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- W1549679984 date "2015-04-01" @default.
- W1549679984 modified "2023-09-24" @default.
- W1549679984 title "Analyzing streaming performance in crowdsourcing-based video service systems" @default.
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- W1549679984 doi "https://doi.org/10.1109/lanman.2015.7114727" @default.
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