A Novel Traffic Rate Measurement Algorithm for Quality of Experience-Aware Video Admission Control

Abstract

Abstract-With the inevitable dominance of video traffic on the Internet, providing perceptually good video quality is becoming a challenging task. This is partly due to the bursty nature of video traffic, changing network conditions and limitations of network transport protocols. This growth of video traffic has made Quality of Experience (QoE) of the end user the focus of the research community. In contrast, Internet service providers are concerned about maximizing revenue by accepting as many sessions as possible, as long as customers remain satisfied. However, there is still no entirely satisfactory admission algorithm for flows with variable rate. The trade-off between the number of sessions and perceived QoE can be optimized by exploiting the bursty nature of video traffic. This paper proposes a novel algorithm to determine the upper limit of the aggregate video rate that can exceed the available bandwidth without degrading the QoE of accepted video sessions. A parameter β that defines the exceedable limit is defined. The proposed algorithm results in accepting more sessions without compromising the QoE of ongoing video sessions. Thus it contributes to the optimization of the QoE-Session trade-off in support of the expected growth of video traffic on the Internet.

Quality of Service Assurances in Multimedia Network: A Simulation Approach

“…Different standardization groups, like ITU, ETSI or 3GPP, have covered QoS requirements for multimedia traffic. ITU is in Recommendations G.1010 [11] [12].…”

A quality of experience-aware cross-layer architecture for optimizing video streaming services

“…It is at high level sometimes while is at low level at some other times. The model and implementation of the QoE-aware measurement algorithm and admission control were presented in [6]. The proposed architecture employs parameters from relevant layers; application and network layers in this paper.…”

“…In this paper, we combine the rate adaptation capability of video applications and our previously proposed QoE-aware admission control [6] in a QoE-aware architecture for video streaming. The contribution of this paper is a novel QoE-aware cross-layer architecture for optimizing video streaming services.…”

Joint Video Packet Scheduling, Subchannel Assignment and Power Allocation for Cognitive Heterogeneous Networks

“…In the future wireless networks, video traffic is one of the most popular mobile services [7]. The international companies, like Cisco, predict that video services will be in the range of 80 to 90 percent of global consumer traffic by 2018 [8]. Since MTs are resource-constrained compared to the desktop equivalents, it is a resource hungry application.…”