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A blockchain shard storage model suitable for multi-view

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Abstract

Blockchain storage scalability research, mainly including large file storage and full node storage scalability, helps to enable blockchain technology to be better applied in application scenarios with large-scale data. Multi-View application scenarios in which an object is represented by multiple view information and the view information is interconnected and needs to be stored. However, the current single-view storage scheme is not applicable to multi-view, and the computation overhead of the recursion-based multisecret sharing is relatively high. Therefore, in this paper, we integrate the above two researches, and propose a blockchain shard storage model suitable for multi-view. Specifically, we first reduce the storage overhead of IPFS and the hash number stored in the blockchain using an image stitching design. We then relieve the storage pressure of full nodes using Shamir secret sharing (SSS) to divide the transaction data into shares to form n data blocks. Finally, we improve the recursion-based multisecret sharing by optimizing the polynomial construction and reducing the number of computations of the Lagrangian interpolation algorithm to reduce computation overhead. To demonstrate the feasibility and effectiveness of the proposed model, we design an Appearance Design Patent (ADP) architecture, use it as a case study, and test the performance of the proposed model through simulation experiments. The results show that our model can significantly reduce storage. Meanwhile, our model has good performance compared to other schemes and recursion-based multisecret sharing.

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Data availability

Appearance Design Patent multi-view data is available in https://iplab.gpnu.edu.cn/info/1044/1608.htm

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Acknowledgements

This work is supported by the Joint Fund of the National Natural Science Foundation of China and Guangdong Province (No. U1701266), and Guangdong Provincial Key Laboratory of Intellectual Property & Big Data (No. 2018B030322016).

Funding

Joint Fund of the National Natural Science Foundation of China and Guangdong Province, and Guangdong Provincial Key Laboratory of Intellectual Property & Big Data.

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Authors and Affiliations

  1. School of Information Engineering, Guangdong University of Technology, Guangzhou, 510006, China

    Chuxin Zhuang, Qingyun Dai & Jiangzhong Cao

  2. Guangdong Provincial Key Laboratory of Intellectual Property & Big Data, Guangdong Polytechnic Normal University, Guangzhou, 510665, China

    Qingyun Dai

Authors
  1. Chuxin Zhuang
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Contributions

Chuxin Zhuang: Conceptualization, Methodology, Writing–Original Draft, Writing–Review & Editing, Validation. Qingyun Dai: Supervision, Funding acquisition, Project administration, Writing–Review & Editing. Jiangzhong Cao: Supervision, Resources, Writing–Review & Editing.

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Correspondence to Chuxin Zhuang or Qingyun Dai.

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Zhuang, C., Dai, Q. & Cao, J. A blockchain shard storage model suitable for multi-view. Peer-to-Peer Netw. Appl. 16, 538–553 (2023). https://doi.org/10.1007/s12083-022-01419-z

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