Autonomous video-on-demand system for heterogeneous quality levels to achieve high assurance

Video streaming services that provide heterogeneous video quality are required because the usage environments are diverse and changing dynamically. Considering the characteristics of the application, services must be distributed without stopping the service or deteriorating video quality. In order to achieve that, though the volume of the video data is too huge, it is necessary to reduce total storage volume and transmission quantity. In this paper, autonomous video-on-demand system architecture for heterogeneous quality levels and an evaluation method of service reliability are proposed. In this system, we employ layered video streaming data and distribute each layered video stream data in different servers. The system, streams the data from multiple sources to the users, assuring a reliable transmission. The evaluation shows the effectiveness of the proposal.