Dynamic Resource Allocation Based on Online Traffic Prediction for Video Streams
In this paper, the authors propose a new Dynamic Resource Allocation (DRA) scheme to support the constantly increasing online video stream traffic, especially High Definition (HD) video streams. Their DRA scheme is based on online traffic prediction using seasonal time analysis. Their scheme seeks to provide accurate traffic prediction, to minimize the resource negotiation frequency, and to increase the utilization of the network resources while meeting maximum delay requirements. They validate their approach using various video traces, including their video collection of more than 50 HD video traces.