Study on a self-similar traffic shaping mechanism with QoS in transport networks

Mingxia Bo; Peiyuan Lee; Xiaofei Pan; Wanyi Gu

doi:10.1117/12.634685

5 December 2005 Study on a self-similar traffic shaping mechanism with QoS in transport networks

Mingxia Bo, Peiyuan Lee, Xiaofei Pan, Wanyi Gu

Proceedings Volume 6022, Network Architectures, Management, and Applications III; 60223S (2005) https://doi.org/10.1117/12.634685
Event: Asia-Pacific Optical Communications, 2005, Shanghai, China

Abstract

Due to easy realization and high bandwidth utilization, SDH/WDM technology becomes the important way to carry IP traffic over the backbone network. On the other hand, the feature of the data traffic which is much different from the voice traffic is dynamic, burst and self-similar, and many proofs show that the self-similar traffic can lead to some adverse effects on the network performance due to the property of long-range dependence (LRD). For this reason it is widely recognized that self-similarity of the traffic is a significant problem as far as network engineering is concerned. So any reduction in the degree of self-similarity will be greatly beneficial. One possible strategy for mitigating the deleterious effects of the self-similarity is to reduce the burstiness of the input traffic through traffic shaping function at the edge nodes. According to this scheme, in this paper, we present a new self-similar traffic shaping mechanism with QoS in transport networks, called double threshold algorithm (DTA). Simulation results show that the proposed mechanism can effectively reduce the degree of input self-similar traffic, and performs better in the terms of network packet-loss rate and blocking probability than the non-traffic shaping schemes. At the same time it guarantees good quality of service.

Citation Download Citation

Mingxia Bo, Peiyuan Lee, Xiaofei Pan, and Wanyi Gu "Study on a self-similar traffic shaping mechanism with QoS in transport networks", Proc. SPIE 6022, Network Architectures, Management, and Applications III, 60223S (5 December 2005); https://doi.org/10.1117/12.634685

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KEYWORDS

Networks

Statistical analysis

Forward error correction

Stochastic processes

Mathematical modeling

Performance modeling

Data modeling

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