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Survey on Blockchain Incentive Mechanism

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Data Science (ICPCSEE 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1058))

Abstract

The current research on the blockchain includes study on network architecture and the incentive. In this paper, an introduction to the architecture of information technology was given and the goal and research status of the incentive layer of blockchain were illustrated with digital economy development as the backdrop. The existing issuance of token was elaborated from computation, storage and transmission, three core facets of network technology. The development of the token allocation and the path was analyzed to confirm its rationality. It discusses the possible directions and challenges of the future research on blockchain incentive.

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Notes

  1. 1.

    https://filecoin.io/.

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Acknowledgement

This work has been financially supported by Shenzhen Project (Grant No.: JCYJ20170306091556329 and No.: ZDSYS20180205183142).

Author information

Authors and Affiliations

  1. Shenzhen Key Lab for Information Centric Networking & Blockchain Technology (ICNLAB), School of Electronics and Computer Engineering, Peking University, Shenzhen, China

    Jiyue Huang, Kai Lei, Maoyu Du, Hongting Zhao & Zhuyun Qi

  2. PCL Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen, China

    Jiyue Huang, Kai Lei, Maoyu Du, Hongting Zhao, Huafang Liu, Jin Liu & Zhuyun Qi

Authors
  1. Jiyue Huang
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  2. Kai Lei
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  3. Maoyu Du
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  4. Hongting Zhao
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  5. Huafang Liu
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  6. Jin Liu
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  7. Zhuyun Qi
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Corresponding author

Correspondence to Zhuyun Qi .

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Editors and Affiliations

  1. Guilin University of Technology, Guilin, China

    Xiaohui Cheng

  2. Northeast Forestry University, Harbin, China

    Weipeng Jing

  3. Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  4. National Academy of Guo Ding Institute of Data Science, Harbin, China

    Zeguang Lu

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Huang, J. et al. (2019). Survey on Blockchain Incentive Mechanism. In: Cheng, X., Jing, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2019. Communications in Computer and Information Science, vol 1058. Springer, Singapore. https://doi.org/10.1007/978-981-15-0118-0_30

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  • DOI: https://doi.org/10.1007/978-981-15-0118-0_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0117-3

  • Online ISBN: 978-981-15-0118-0

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