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End-to-End Latency Optimization in Software Defined LEO Satellite Terrestrial Systems

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Book cover Space Information Networks (SINC 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 972))

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Abstract

Leveraging the concept of software-defined network (SDN), the integration of terrestrial and satellite networks improves the scalability and flexibility of networks. But resulting from the instability of satellite systems and ultra-high traffic volume of terrestrial networks, it is challenging to guarantee the end-to-end latency. Two major factors damage end-to-end latency are studied respectively in this paper. The first one is delay fluctuation due to limited resource and uneven traffic distribution of feeder. A load balancing algorithm based on the subset matching problem is proposed to mitigate the fluctuation. The second one is long forwarding latency due to excessive load in terrestrial networks, a resource allocation based on dynamic queue evaluation is proposed to decline the latency. Simulation results show the efficiency of our algorithm.

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Acknowledgment

This work was supported by research project of shanghai science and technology commission (Grant No. 17DZ1100702) in China.

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Authors and Affiliations

  1. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100049, China

    Shaowen Zheng, Zhenxiang Gao, Xu Shan, Weihua Zhou, Yongming Wang & Xiaohui Zhang

  2. School of Cyber Security, University of Chinese Academy of Sciences, Beijing, 100049, China

    Shaowen Zheng, Xu Shan, Yongming Wang & Xiaohui Zhang

Authors
  1. Shaowen Zheng
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  2. Zhenxiang Gao
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  3. Xu Shan
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  4. Weihua Zhou
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  5. Yongming Wang
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  6. Xiaohui Zhang
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Corresponding author

Correspondence to Weihua Zhou .

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Editors and Affiliations

  1. PLA Academy of Military Science, Beijing, China

    Quan Yu

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Zheng, S., Gao, Z., Shan, X., Zhou, W., Wang, Y., Zhang, X. (2019). End-to-End Latency Optimization in Software Defined LEO Satellite Terrestrial Systems. In: Yu, Q. (eds) Space Information Networks. SINC 2018. Communications in Computer and Information Science, vol 972. Springer, Singapore. https://doi.org/10.1007/978-981-13-5937-8_18

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  • DOI: https://doi.org/10.1007/978-981-13-5937-8_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5936-1

  • Online ISBN: 978-981-13-5937-8

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