User Experience Driven Multi-Layered Video Based Applications

Abstract

The growing popularity for video based applications has put an enormous strain on the network and causes the network to be more prone to congestion. The study of congestion control and bandwidth allocation problems is often formulated into Network Utility Maximization (NUM) framework, and the existing solutions for NUM generally focus on single-layered applications. However, today's quality of video is divided into several layers, where each layer provides different level of enhancement of quality. In this paper, we study how multilayered video based applications impact network performance and pricing through NUM formulation, in particularly traffic from video streaming. In our investigation, we design and implement a new multi-layered user utility model that leverages on studies of human visual perception. Then, using this new utility model to examine network activities, we demonstrate that solving NUM with multi-layered utility is intractable, and that rate allocation and network pricing may oscillate due to user behavior specific to multi-layered applications. To address this, we propose a new approach for admission control to ensure quality of service and experience.Term Index-Congestion control, real time, networks multimedia.

Secondary Mobile Data Market Business Model for ISP

“…If it does, in what condition the equilibrium is reached and how it impacts the revenue sharing mechanism. In addition, in order to design pricing and revenue scheme that reflect quality of service, the role QoE [19,23] in the design will be addressed as well.…”

“…Hence, when the minimum price set by ISP is higher than the price set by secondary Wi-Fi providers, ISP's price prevails and users are charged with price set by ISP. These pricing frameworks are formulated into Network Utility Maximization (NUM) problem [3,4,5,19], which is resolved using subgradient based algorithm.…”