Browsing by Author "Wang, Sheng-Shuen"

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Fast end-to-end available bandwidth estimation for real-time multimedia networking
(2006)
Wang, Sheng-Shuen
;
Hsiao, Hsu-Feng
;
資訊工程學系
;
Department of Computer Science
Dynamic bandwidth estimation serves as an important basis for performance optimization of real-time distributed multimedia applications. The objective of this paper is to develop a bandwidth estimation algorithm for the fast fluctuated Internet. We analyze the relationship between the one way delay and the dispersion of packets train, and propose an available-bandwidth estimation algorithm which makes use of these two features without requiring administrative access to the intermediate routers along the network path. Instead of binary search or fixed-rate bandwidth adjustment of the probing data as described in literature, we use top-down approach to infer available bandwidth robustly and much more efficiently.
Layered congestion control for scalable video coding based on the efficient bandwidth inference
(2007)
Wang, Sheng-Shuen
;
Hsiao, Hsu-Feng
;
Lee, Suh-Yin
;
資訊工程學系
;
Department of Computer Science
Scalable video coding allows greater granularity adaptation at bit level to the time-vary heterogeneous networks. In this paper, we propose a congestion control algorithm based on the bandwidth estimation techniques. In order to cooperate with H.264/MPEG-4 AVC SVC extension which can achieve fine granularity of scalability, we design an adaptation strategy to smartly switch to an efficient bandwidth inference mode during the channel probing period according to the one way delay and jitter profile so that the subscription decision of SVC layers can be made quickly to better utilize the network resource. In case of the unavoidable network congestion, we unsubscribe scalable video layers according to the recently received throughput instead of only dropping one layer at a time to rapidly accommodate the streaming service to the channels. The simulations show that the proposed algorithm converges fast to the available bandwidth and can adapt to the fluctuated network efficiently.
TCP-Friendly Congestion Control for Layered Video Streaming Using End-to-End Bandwidth Inference
(2008)
Wang, Sheng-Shuen
;
Hsiao, Hsu-Feng
;
資訊工程學系
;
Department of Computer Science
More and more streaming protocols are developed for the multimedia applications. However, many streaming protocols only consider the network stability, but not the characteristics of streaming applications. In order to cooperate with H.264/MPEG4 AVC scalable extension which can achieve fine granularity of scalability at bit level to the time-vary heterogeneous networks, we design a TCP-friendly congestion control algorithm based on the bandwidth estimation to smoothly change sending rate to avoid unnecessary oscillations so that the subscription decision of SVC layers can be made to better utilize the network resource. In case of the unavoidable network congestion, we unsubscribe scalable video layers according to the packet lost rate and the recently received throughput instead of only dropping one layer at a time to rapidly accommodate the streaming service to the channels and avoid persecuting the other flows at the same bottleneck. In addition, the probing packets for estimating the available bandwidth are encapsulated with RTP/RTCP. The simulations show that the proposed congestion control algorithm for real-time applications efficiently utilizes network bandwidth without hampering the performance of the existing TCP applications.
TCP-friendly congestion control for the fair streaming of scalable video
(2010-09-01)
Wang, Sheng-Shuen
;
Hsiao, Hsu-Feng
;
資訊工程學系
;
Department of Computer Science
Dynamic bandwidth estimation serves as an important basis for performance optimization of real-time distributed multimedia applications. The objective of this paper is to develop a TCP-friendly and fair congestion control algorithm which regulates the sending rate robustly by inferring the end-to-end available bandwidth. In addition to network stability, we also consider the characteristics of streaming applications, such as the bandwidth resolution in scalable video coding (SVC) which can achieve fine granularity of scalability at bit level to fit the time-vary heterogeneous networks. The congestion control algorithm is mainly composed of two phases: start phase and transmission phase to better utilize the network resource by subscribing SVC layers. In the start phase, we analyze the relationship between the one-way delay and the dispersion of packet trains, and then propose an available bandwidth inference algorithm which makes use of these two features without requiring administrative access to the intermediate routers along the network path. Instead of either binary search or fixed-rate bandwidth adjustment of the probing data as proposed in literature, a top-down approach is proposed to infer the initial available bandwidth robustly and much more efficiently. After acquiring the initial available bandwidth, the missions of the transmission phase include the adaptation of the sending rate fairly by progressive probing and also the accommodation of the network resource to TCP flows. In case of the unavoidable network congestion, we unsubscribe scalable video layers according to the packet loss rate instead of only dropping one layer at a time to rapidly accommodate the streaming service to the channels and also to avoid persecuting the other flows at the same bottleneck. In addition, the probing packets for the estimation of the available bandwidth are encapsulated with RTP/RTCP. The simulations show that the proposed congestion control algorithm for real-time applications fairly utilizes network bandwidth without hampering the performance of the existing TCP applications. Crown Copyright (C) 2010 Published by Elsevier By. All rights reserved.