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Research and Implementation of Cache Node Backup Strategy in Distributed Caching System

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Book cover Human Centered Computing (HCC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9567))

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Abstract

This paper studies the mutual backup strategy of cache nodes in the distributed caching system, and proposes a new dynamic adaptive mutual backup strategy for the cache nodes by analyzing the specific application scenarios and requirements. Experimental results show that the proposed method supports the hot switch of the distributed caching system, can improve the availability and scalability of the system, and realize the functions of load balance and fault tolerance of the system.

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References

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Acknowledgment

This work was supported by the National Natural Science Foundation of China (Grant No. 61471055).

Author information

Authors and Affiliations

  1. School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, 100876, People’s Republic of China

    Wenlin Liu, Haiyang Zhang, Saihong Xu & Yue Ma

  2. Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, Beijing, People’s Republic of China

    Wenlin Liu

  3. Beijing Branch, China United Network Communications Group Co., Ltd, Beijing, People’s Republic of China

    Siyuan Sun

Authors
  1. Wenlin Liu
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  2. Haiyang Zhang
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  3. Saihong Xu
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  4. Yue Ma
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  5. Siyuan Sun
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Corresponding author

Correspondence to Wenlin Liu .

Editor information

Editors and Affiliations

  1. Wuhan, Hubei, China

    Qiaohong Zu

  2. Fujitsu Laboratories of Europe Ltd., Middlesex, United Kingdom

    Bo Hu

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© 2016 Springer International Publishing Switzerland

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Liu, W., Zhang, H., Xu, S., Ma, Y., Sun, S. (2016). Research and Implementation of Cache Node Backup Strategy in Distributed Caching System. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2016. Lecture Notes in Computer Science(), vol 9567. Springer, Cham. https://doi.org/10.1007/978-3-319-31854-7_25

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  • DOI: https://doi.org/10.1007/978-3-319-31854-7_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31853-0

  • Online ISBN: 978-3-319-31854-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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