Paper
7 May 2003 Practical estimation techniques of traffic specification for VBR video services
Truong Cong Thang, Yong Man Ro
Author Affiliations +
Proceedings Volume 5022, Image and Video Communications and Processing 2003; (2003) https://doi.org/10.1117/12.476510
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
Traffic specification plays a crucial role in resource reservation for multimedia services over packet networks. The current development of QoS-guaranteed services still leaves a wide room for the selection of traffic specification. In this paper, we propose a new method to estimate the traffic specification of deterministic service. Usually, the estimation of traffic specification is independent of the QoS requirements, e.g. the delay bound. The proposed method is based on the point-of-view of the call admission control that takes the delay bound requirement into the estimation process. The solution is efficient in the sense that the resulting traffic specification is simple while still providing the excellent network utilization. Additionally, traffic smoothing is now a popular technique used to flatten the bursty video traffic, so reducing the potential congestion in the networks. We consider the traffic specification of video traffic in two cases: with traffic smoothing and without traffic smoothing. Initial experiments show that traffic smoothing does not result in significant changes in values of traffic specification. This highlights the importance of global burstiness of video traffic to the traffic parameters. The results of this research can be directly applied to some existing applications such as the integrated services of ATM and IETF.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Truong Cong Thang and Yong Man Ro "Practical estimation techniques of traffic specification for VBR video services", Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); https://doi.org/10.1117/12.476510
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KEYWORDS
Video

Stochastic processes

Asynchronous transfer mode

Multimedia

Electronic imaging

Image processing

Image segmentation

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