Resource type
Thesis type
(Thesis) M.Sc.
Date created
2008
Authors/Contributors
Author: Cheng, Xu
Abstract
In this thesis, using long-term data traces, we present an in-depth and systematic measurement study on the characteristics of YouTube, the most successful site providing a new generation of short video sharing service. We find that YouTube videos have noticeable differences compared with traditional videos, making it difficult to use conventional strategies (e.g., peer-to-peer) to reduce the server workload. However, the social network presented among YouTube videos opens new opportunities. We design a novel social network based peer-to-peer short video sharing system, in which peers are responsible for re-distributing the videos that they have cached. We address a series of key design issues to realize the system, including an efficient indexing scheme, a bi-layer overlay leveraging social networking, a source rate allocation and a pre-fetching strategy to guarantee the playback quality. We perform extensive simulations, which show that the system greatly reduces the server workload and improves the playback quality.
Document
Copyright statement
Copyright is held by the author.
Scholarly level
Language
English
Member of collection
Download file | Size |
---|---|
etd3413.pdf | 2.31 MB |