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AUSAI
2009
Springer

Probabilistic Seeking Prediction in P2P VoD Systems

11 years 8 months ago
Probabilistic Seeking Prediction in P2P VoD Systems
In P2P VoD streaming systems, user behavior modeling is critical to help optimise user experience as well as system throughput. However, it still remains a challenging task due to the dynamic characteristics of user viewing behavior. In this paper, we consider the problem of user seeking prediction which is to predict the user’s next seeking position so that the system can proactively make response. We present a novel method for solving this problem. In our method, frequential patterns mining is first performed to extract abstract states which are not overlapped and cover the whole video file altogether. After mapping the ning dataset to state transitions according to the abstract states, we use a simpel probabilistic contingency table to build the prediction model. We design an experiment on the synthetic P2P VoD dataset. The results demonstrate the effectiveness of our method.
Weiwei Wang, Tianyin Xu, Yang Gao, Sanglu Lu
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where AUSAI
Authors Weiwei Wang, Tianyin Xu, Yang Gao, Sanglu Lu
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