Exploiting Network Awareness to Enhance DASH Over Wireless

The introduction of Dynamic Adaptive Streaming over HTTP (DASH) helped reduce the consumption of resource in video delivery, but its client-based rate adaptation is unable to optimally use the available end-to-end network bandwidth. We consider the problem of optimizing the delivery of video content to mobile clients while meeting the constraints imposed by the available network resources. Observing the bandwidth available in the network's two main components, core network, transferring the video from the servers to edge nodes close to the client, and the edge network, which is in charge of transferring the content to the user, via wireless links, we aim to find an optimal solution by exploiting the predictability of future user requests of sequential video segments, as well as the knowledge of available infrastructural resources at the core and edge wireless networks in a given future time window. Instead of regarding the bottleneck of the end-to-end connection as our throughput, we distribute the traffic load over time and use intermediate nodes between the server and the client for buffering video content to achieve higher throughput, and ultimately significantly improve the Quality of Experience for the end user in comparison with current solutions

A Minimal Access Cost-Based Multimedia Object Replacement Algorithm

Multimedia object caching, by which the same multimedia object can be adapted to diverse mobile appliances through the technique of transcoding, is an important technology for improving the scalability of web services, especially in the environment of mobile networks. In this paper, we address the cache replacement problem for multimedia object caching by exploring the aggregate effect of caching multiple versions of the same multimedia object. First, We present an optimal solution for calculating the minimal access cost of caching multiple versions of the same multimedia object. Second, based on this solution, we propose an effective cache replacement algorithm for multimedia object caching. Finally, we evaluate the performance of the proposed solution with a set of simulation experiments for various performance metrics over a wide range of system parameters