Please use this identifier to cite or link to this item: https://doi.org/10.1145/2457450.2457455
Title: Modeling the effect of user interactions on mesh-based P2P vod streaming systems
Authors: Zhao, Z.W.
Samarth, S.
Ooi, W.T. 
Keywords: Analytical modeling
Pause
Peer-to-peer
Random departure
Seek
Streaming
User interaction
Video-on-demand
Issue Date: May-2013
Citation: Zhao, Z.W., Samarth, S., Ooi, W.T. (2013-05). Modeling the effect of user interactions on mesh-based P2P vod streaming systems. ACM Transactions on Multimedia Computing, Communications and Applications 9 (2) : -. ScholarBank@NUS Repository. https://doi.org/10.1145/2457450.2457455
Abstract: User interactions such as seeks and pauses are widely supported by existing Peer-to-Peer Video-on-Demand (P2P VoD) streaming systems. Their effect on the streaming system, however, has not been well studied. Seeks cause peers to skip part of the video, making them stay in the system for shorter time, and thus contribute less. On the other hand, only part of the video is downloaded due to seeks, reducing peers' demand from the system. It is unclear which factor dominates the effect of seeks on the streaming system. Pauses during playback, on one hand, allow peers to stay longer in the system and upload more content. When interleaved with seeks, however, long pauses may increase peers' demand unnecessarily as peers may download content that will eventually be skipped by subsequent forward seeks. The collective effect of seeks and pauses, together with the known random peer departure, is unintuitive and needs to be addressed properly so as to understand the effect of human factors on the streaming system performance. In this article, we develop an analytical model to both qualitatively and quantitatively study the effect of seeks and pauses on mesh-based P2P VoD streaming systems, in particular, the effect on the server cost. Our model can help in understanding how human factors such as seeks and pauses affect the streaming system performance, tuning a P2P VoD system towards better system performance and stability, and providing a framework for capacity planning. © 2013 ACM.
Source Title: ACM Transactions on Multimedia Computing, Communications and Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/77889
ISSN: 15516857
DOI: 10.1145/2457450.2457455
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