Priority-Oriented Cloud Video Delivery Networks

Abstract

Video delivery networks (VDNs) using cloud storage have recently started to emerge. Different to the conventional VDNs, Cloud Video Delivery Networks (CVDNs) take advantage of the cloud computing technology which helps to reduce the storage and bandwidth cost. However, the existing CVDNs model cannot guarantee the Quality of Service (QoS) adequately because of the dynamic demands of end users such as the delay and the priority. In this paper, we put forward a path-splitting-supported and priority-oriented CVDNs method to increase the acceptance ratio of requests and provide the QoS of end users. In the proposed method, we divide the end users into ordinary users and paying users while the paying users having higher priorities. Then, we formulate the priority-oriented cloud video delivery problem as a mixed integer programming (MIP) problem while considering the routing constraints. The experimental results show that the acceptance rate of path-splitting-supported method is 20% higher than the method of path-unsplitting. In addition, our method can also make CVDNs providers get higher earnings.