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標題Title: AMES-Cloud: A Framework of Adaptive Mobile Video Streaming and Efficient Social Video Sharing in the Clouds
作者Authors: 徐苡庭,童耀民..等
上傳單位Department: 資訊工程系
上傳時間Date: 2013-12-30
上傳者Author: 徐苡庭
審核單位Department: 資訊工程系
審核老師Teacher: 李南逸
檔案類型Categories: 課堂報告In-class Report
關鍵詞Keyword: Index Terms—Adaptive video streaming, cloud computing, mobile networks, scalable video coding, social video sharing.
摘要Abstract: While demands on video traffic over mobile networks
have been souring, the wireless link capacity cannot keep up with
the traffic demand. The gap between the traffic demand and the
link capacity, along with time-varying link conditions, results in
poor service quality of video streaming over mobile networks such
as long buffering time and intermittent disruptions. Leveraging
the cloud computing technology, we propose a new mobile video
streaming framework, dubbed AMES-Cloud, which has two main
parts: adaptive mobile video streaming (AMoV) and efficient social
video sharing (ESoV). AMoV and ESoV construct a private
agent to provide video streaming services efficiently for each mobile
user. For a given user, AMoV lets her private agent adaptively
adjust her streaming flow with a scalable video coding technique
based on the feedback of link quality. Likewise, ESoVmonitors the
social network interactions among mobile users, and their private
agents try to prefetch video content in advance. We implement a
prototype of the AMES-Cloud framework to demonstrate its performance.
It is shown that the private agents in the clouds can effectively
provide the adaptive streaming, and perform video sharing
(i.e., prefetching) based on the social network analysis.

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2013_12_48323a38.pdf 997Kb pdf 50 18
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