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End-to-End Stochastic QoS Performance Under Multi-layered Satellite Network

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Space Information Networks (SINC 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 688))

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Abstract

To meet the growth of real-time and multimedia traffic, the next generation of satellite networks with a guarantee of quality of service (QoS) is indeed, urgent. In this paper, we support the multi-layered satellite network as the scenario, owing to dynamic topology and distinct classification of the generated traffics. We map the satellite network system into a tandem queuing model, which the purpose is devoted to use a mathematical tool for evaluating the performance bounds of per-flow end-to-end networks. For delay-sensitive traffics, we compare two different arrival models–Poisson process and self-similar process. Meanwhile, we apply traditional scheduling strategy to MEO nodes while considering link impairment between a pair of satellites. Finally, we analyze, in a numerically way, which parameters (and how they) influence the per-flow end-to-end performance bounds. Our analysis can be used as a reference to China’s future satellite topology and routing algorithms designed and, optimization given a network with performance requirements and constraints.

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Acknowledgements

This work is supported by the National Science Foundation of China (863 Project) under granted No. 2015AA015701, the project of Provincial Science and Technology Department of Jilin (No. 20140414070GH) and Science and Technology of Changchun under granted No. 14GH001.

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Correspondence to Xiaoqiang Di .

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Wang, M., Di, X., Jiang, Y., Li, J., Jiang, H., Yang, H. (2017). End-to-End Stochastic QoS Performance Under Multi-layered Satellite Network. In: Yu, Q. (eds) Space Information Networks. SINC 2016. Communications in Computer and Information Science, vol 688. Springer, Singapore. https://doi.org/10.1007/978-981-10-4403-8_17

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  • DOI: https://doi.org/10.1007/978-981-10-4403-8_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4402-1

  • Online ISBN: 978-981-10-4403-8

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