An Effective and Innovative Streaming Model for Videos in Mobile Computing

Abstract

Video streaming in mobiles is based on the stream of traffic over mobile networks. The capacity of wireless link cannot be provided on demand. The poor service quality of video streaming over mobile networks is based on the gap between the link capacity and the traffic demand, along with time-varying link conditions, such as long buffering time and intermittent disruptions. In this paper we propose to develop a new mobile video framework, labeled as AMES-Cloud, which is divided into two main parts: AMoV (adaptive mobile video streaming) and EsoV (Efficient social video sharing). AMoV and EsoV build up the third party agent to provide efficient video streaming services for every mobile user. The AMoV and WSoV will provide the different types of features like, based on the feedback of link quality the AMoV contracts the private agent adaptively adjust her streaming flow with a scalable video coding technique. The second feature EsoV monitors the social network interactions among mobile users, and their private agents try to prefect video content in advance. In this paper we implement a prototype of the AMES-Cloud framework to show its efficiency. For that we propose to show that the third party agents in the cloud can effectively provide the adaptive streaming and perform video sharing.