A Simple Model for Predicting the Number and Duration of Rebuffering Events for YouTube Flows
作者： Pablo Ameigeiras , Alba Azcona-Rivas , Jorge Navarro-Ortiz , Juan J. Ramos-Munoz , Juan M. Lopez-Soler
DOI: 10.1109/LCOMM.2011.121311.111682
关键词:
摘要: In this paper, we propose a simple model for predicting the number of rebuffering events and their duration in progressive downloads from YouTube. These metrics are necessary to predict quality perceived by YouTube users. The proposed is based on two thresholds amount data stored player buffer: first threshold extracted results previous studies, second derived experimental presented paper. can be easily implemented simulation tools present an example its use Long-Term Evolution simulator which mentioned have been estimated different
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