Paper Title
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.