On the source switching problem of Peer-to-Peer streaming

Li, Zhenhua; Cao, Jiannong; Chen, Guihai; Liu, Yanping

doi:10.1016/j.jpdc.2010.01.005

Cited by 7 publications

(1 citation statement)

References 33 publications

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“…Many works [11] focused on the improvement of system performance. In [12], an efficient solution is proposed to minimize the startup delay with a fast source switching algorithm. Hybrid CDN/P2P approach for video streaming is proposed that combines P2P and CDN to obtain scalability and low cost advantages of P2P along with the reliability and manageability of CDNs [13], [14].…”

Section: Related Workmentioning

confidence: 99%

Analyzing streaming performance in crowdsourcing-based video service systems

Zhou

Chen

Jing³

et al. 2015

The 21st IEEE International Workshop on Local and Metropolitan Area Networks

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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.

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