Providing Scalable On-Demand Video Services for Heterogeneous Receivers

To provide scalable video-on-demand services, pre-cious system bandwidth must be shared among video requests. Although many efficient bandwidth-sharing tech-niques have been proposed, they are all designed for homogeneous receivers, i.e., the clients are assumed to have the same receiving bandwidth. For networks with client heterogeneity, these techniques either cannot work or have to compromise their performance. In this paper, we address this problem and propose an efficient solution allowing each client to use its whole receiving bandwidth to download data. To serve a client, the server first selects a set of serving channels for the client according to its actual receiving bandwidth. The video data needed for this client are then scheduled and dynamically adjusted fo