A Novel Traffic Rate Measurement Algorithm for Quality of
Experience-Aware Video Admission Control
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 $\beta$ that defines the exceedable limit is
defined. The proposed algorithm results in accepting more sessions
without compromising the QoE of on-going 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.