Adaptive And Efficient Video Streaming And Sharing For Mobile Users Using Cloud Assistance
Due to the high demands of video traffics over mobile networks, the wireless link capacity fails to keep up the
pace with the demand. There exits a gap between the demand and the link capacity which results in poor service quality of
the video streaming over mobile networks which includes disruptions and long buffering time. Following the cloud
computing technology, we suggest two solutions: adaptive video streaming and social video sharing over mobile networks.
A private agent is constructed for each mobile user in the cloud which adjust the video bit rate using scalable video coding
technique based on the return value of the wireless link condition. And, the mobile social interaction is for each user is
checked by the agents so that the videos will be prefetched in advance in order to share them effectively. We have
implemented the idea over desktop machines and we are trying to implement the same over mobile networks.