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Storage Optimization Algorithm for Publication Blockchain

  • Qingtao ZengEmail author
  • Kai Xie
  • Yeli Li
  • Xinxin Guan
  • Chufeng Zhou
  • Shaoping Ma
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)

Abstract

“We Media” is developing rapidly and there is a sharp increase in the number of various electronic publications. Meanwhile, copyright issues between author and publisher are becoming increasingly prominent. To solve this problem, storage optimization algorithm for publication blockchain is based on Pearson similarity algorithm and K-means algorithm. First, the author and publisher association table is built by cooperation record between author and publisher and familiarity calculation method is designed. Subsequently, clustering algorithm is established by using the maximum and minimum principle. On this basis, the prediction algorithm is established. These algorithms are used to adjust Merkle tree structure. Finally, effectiveness of the algorithm is verified by experiments.

Keywords

Publication Blockchain Optimization algorithm 

Notes

Acknowledgement

This work was supported by the Curriculum construction project-Linux Program design (22150118005/014), doctoral research funding (04190117003/044), Construction of school teachers-doctoral research funding (27170118003/007), Construction of the publication data asset evaluation platform (04190118002/039) and Construction of computer science and technology in predominant construction (22150118010/006).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Qingtao Zeng
    • 1
    • 2
    Email author
  • Kai Xie
    • 1
  • Yeli Li
    • 1
  • Xinxin Guan
    • 1
  • Chufeng Zhou
    • 1
  • Shaoping Ma
    • 2
  1. 1.Beijing Institute of Graphic CommunicationBeijingChina
  2. 2.Postdoctoral Research Station in Computer Science and Technology of Tsinghua UniversityBeijingChina

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