Analysis and simulation of a fair queueing algorithm
SIGCOMM '89 Symposium proceedings on Communications architectures & protocols
Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Efficient fair queueing using deficit round robin
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Real-time voice communication over the internet using packet path diversity
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
A synchronization mechanism for continuous media in multimedia communications
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 3)-Volume - Volume 3
Proceedings of the 2004 ACM workshop on Next-generation residential broadband challenges
Delay reduction techniques for playout buffering
IEEE Transactions on Multimedia
Quantitative assessment of user-level QoS and its mapping
IEEE Transactions on Multimedia
Low-delay and error-robust wireless video transmission for video communications
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive media playout for low-delay video streaming over error-prone channels
IEEE Transactions on Circuits and Systems for Video Technology
Intrastream synchronization for continuous media streams: a survey of playout schedulers
IEEE Network: The Magazine of Global Internetworking
Hi-index | 0.24 |
This paper proposes a method for testing feasibility of QoS control based on QoS mapping. In multimedia applications over IP networks, it is important to investigate how we enhance user-level QoS of audio-video transmission. As one of the methods, we can control QoS at lower levels so that user-level QoS keeps high according to a result of QoS mapping. However, there is no guarantee that a given scheme of QoS control at lower levels can give desirable user-level QoS. Therefore, we must examine the feasibility of the QoS control. In order to test it, we introduce concepts of the feasibility space and the decision boundary, which are obtained by the QoS mapping with multiple regression analysis. To show the effectiveness of our method, as an illustration, we utilize the simulation results in a previous work by the authors' research group. The simulation treats EDCA of IEEE 802.11e and VTR media synchronization control as node-level QoS control and application-level one, respectively.