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Title: Review on Decisive Video Streaming, Fetching And Preservation Over Cloud Computing

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Title:
Review on Decisive Video Streaming, Fetching And Preservation Over Cloud Computing
Author Name:
Payal Krishnarao Hedau
Abstract:
The increasing demands of videos over a mobile network through wireless link, this wireless link capacity cannot corporate with the demand of video traffics. There is a gap between link capacity and traffic demands along with the condition of time varying which is result in the poor quality of video service over a mobile network such as sending data on this channel result in long buffering time and intermittent disruptions due to limited bandwidth and link condition fluctuation caused by user mobility and multipath fading. By using cloud computing technology, we propose a new mobile video streaming framework, AMES-Cloud which has two main parts : AMoV ( adaptive mobile video streaming ) and ESoV ( efficient social video sharing ). AMoV and ESoV built a private agent which provides video streaming service for each mobile user. To demonstrate its performance we implement a AMES-Cloud framework prototype. It is also shown that private agent in the cloud can effectively provides the adaptive streaming and prefetching the video based on social network service ( SNSs ). Leveraging the cloud computing technology, it is crucial to improve the quality service of video streaming while using the networking and computing resource efficiently and also provides preservation over cloud computing.
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