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CDN Strategy Adjustment System Based on AHP

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Intelligent Computing Theories and Application (ICIC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9772))

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Abstract

It has been an important research orientation on how to deploy the service strategy intelligently to meet the needs of complicated application scenarios for CDN carriers in order to improve its quality of service (QoS). In order to overcome the deficiency of traditional Static deployment strategy, this paper proposes a CDN Dynamic deployment strategy system based on Analytical Hierarchy Process (AHP). The system will try to structure an open hierarchical architecture and decide the weight of elements influencing the QoS of CDN, and will finally give out the recommendatory solution. It has been proved by the example in the paper that this decision model is efficient in deciding the proposed solution, which is objective and effective.

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References

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Acknowledgement

The work is supported by National Natural Science Foundation of China (61271210) and Major science and technology projects in Guangdong Province (2015B010131014, 2014B010117005).

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Authors and Affiliations

  1. College of Electronic and Information Engineering, South China University of Technology, Guangzhou, 510641, Guangdong, China

    Xi Chen, Xie Zhang, Zongze Wu, Youjun Xiang & Shuang Li

  2. College of Automation, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China

    Zongze Wu & Shengli Xie

Authors
  1. Xi Chen
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  2. Xie Zhang
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  3. Zongze Wu
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  4. Youjun Xiang
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  5. Shengli Xie
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  6. Shuang Li
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Corresponding author

Correspondence to Zongze Wu .

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Editors and Affiliations

  1. Tongji University , Shanghai, China

    De-Shuang Huang

  2. University of Ulsan , Ulsan, Korea (Republic of)

    Kang-Hyun Jo

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© 2016 Springer International Publishing Switzerland

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Chen, X., Zhang, X., Wu, Z., Xiang, Y., Xie, S., Li, S. (2016). CDN Strategy Adjustment System Based on AHP. In: Huang, DS., Jo, KH. (eds) Intelligent Computing Theories and Application. ICIC 2016. Lecture Notes in Computer Science(), vol 9772. Springer, Cham. https://doi.org/10.1007/978-3-319-42294-7_20

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  • DOI: https://doi.org/10.1007/978-3-319-42294-7_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42293-0

  • Online ISBN: 978-3-319-42294-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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