期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：13
期号：4
页码：160-165
出版社：Seventh Sense Research Group
摘要：While hassle on video traffic over cell phone networks have been unpleasant the wireless link capability cannot keep up with the traffic exact. The space between the traffic demand and the link capability, all along with timevarying link position, results in reduced service excellence of video streaming over cell phone like as lengthy buffering time and blinking disturbance Leveraging the cloud compute technology, we suggest a new video streaming structure of mobile, AMESCloud dubbed, which has couple of parts AMoV (adaptive mobile video streaming) and ESoV (efficient social video sharing). ESoV and AMoV create a private mediator to give video streaming services capably for every mobile client. For a particular client, AMoV lets her secret agent/mediator adaptively alter her/his streaming pour with a scalable video coding procedure depended on the response of link superiority. As well, efficient social video sharing observes the social network acquaintances among mobile clients and their personal mediators try to share video pleased in advance. We realize the AMESCloud framework prototype to reveal its presentation. It is shown that the confidential agents in the clouds can efficiently provide the adaptive streaming, and based on the social network learning achieve video sharing.
关键词：Adaptive Mobile Social Video Streaming In Loud Network
