King's College London

Research portal

Active Queue Management for Congestion Avoidance in Multimedia Streaming

Research output: Chapter in Book/Report/Conference proceedingConference paper

Original languageEnglish
Title of host publicationEuropean Conference on Networks and Communications (EuCNC)
Place of PublicationParis
PublisherIEEE
Pages487-491
Number of pages5
ISBN (Print)978-1-4673-7359-3
DOIs
Publication statusPublished - Jul 2015

King's Authors

Abstract

Reducing the queue length and queuing delay in the buffer which in turn reduces congestion and latency in the network are of great importance for real-time video services. This paper proposes a congestion avoidance active queue management, tailored for scalable video coding (SVC). This distortion-constrained (DC) queue management mechanism maximally decreases the queue length and queuing delay of video traffic for a given maximum allowable distortion in each video. DC prioritizes video layers in accordance with their hierarchical layer structure into multiple virtual queues inside the buffer. Losses in different layers of the hierarchy introduce different amounts of reduction in PSNR. Therefore, we determine the optimal drop rate in each virtual queue which causes minimal distortion to the stream while achieving a maximal drop rate. This in turn produces the highest reduction in the average buffer queue length and queuing delay for a given distortion. Compared with the widely deployed tail drop mechanism, our proposed scheme would increase the fraction of QoS-satisfied users and maintain a considerably shorter queue length in the buffer which would combat congestion and decrease queuing delay.

View graph of relations

© 2018 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454