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An Effective and Reliable Cross-Blockchain Data Migration Approach

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Parallel and Distributed Computing, Applications and Technologies (PDCAT 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 13148))

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Abstract

As blockchain is widely applied, various decentralized applications would inevitably encounter data migration problems, for reasons, such as the multilevel blockchain scenarios, the exhaustion of blockchain disk space and the swap of the rapidly evolving blockchain engines. In order to proceed the applications smoothly, it is necessary to migrate original blockchain data to a new blockchain instance, which is the cross-blockchain data migration. However, ensuring the reliability of data provenance and the data consistency, and balancing migration efficiency and historical state granularity, introduce unique challenges over cross-blockchain data migration. This paper proposes an effective and reliable cross-blockchain data migration approach to coping with these challenges. To ensure the reliability, a collective mechanism of controlling, executing and storing procedures is proposed to assort migration transactions between blockchains. Furthermore, we propose two migration schemes in order to adapt decentralized application scenarios. Extensive experiments are conducted to demonstrate the effectiveness of the proposed approach.

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Acknowledgments

This work was partially supported by National Key Research and Development Project of China (Grant No. 2019YFB2102500), National Natural Science Foundation of China (No. 61902385), Shenzhen Key Basic Research Project (JCYJ20200109115422828), Huawei Cloud Research Project (YBN2020085125) and National Archives Technology Project (2020-X-10).

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Authors and Affiliations

  1. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

    Mengqiu Zhang, Qiang Qu, Li Ning & Jianping Fan

  2. University of Chinese Academy of Sciences, Beijing, China

    Mengqiu Zhang & Jianping Fan

  3. Huawei Cloud Blockchain Lab, Shenzhen, China

    Qiang Qu & Ruijie Yang

Authors
  1. Mengqiu Zhang
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  2. Qiang Qu
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  3. Li Ning
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  4. Jianping Fan
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  5. Ruijie Yang
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Corresponding author

Correspondence to Qiang Qu .

Editor information

Editors and Affiliations

  1. Sun Yat-sen University, Guangzhou, Guangdong, China

    Hong Shen

  2. Sun Yat-sen University, Guangzhou, China

    Yingpeng Sang

  3. Shenzhen Institute of Advanced Technology, Shenzhen, China

    Yong Zhang

  4. Sun Yat-sen University, Guangzhou, China

    Nong Xiao

  5. University of Georgia, Athens, GA, USA

    Hamid R. Arabnia

  6. University of Utah, Salt Lake City, USA

    Geoffrey Fox

  7. Western Michigan University, Kalamazoo, MI, USA

    Ajay Gupta

  8. Stevens Institute of Technology, Hoboken, NJ, USA

    Manu Malek

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Zhang, M., Qu, Q., Ning, L., Fan, J., Yang, R. (2022). An Effective and Reliable Cross-Blockchain Data Migration Approach. In: Shen, H., et al. Parallel and Distributed Computing, Applications and Technologies. PDCAT 2021. Lecture Notes in Computer Science(), vol 13148. Springer, Cham. https://doi.org/10.1007/978-3-030-96772-7_26

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  • DOI: https://doi.org/10.1007/978-3-030-96772-7_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96771-0

  • Online ISBN: 978-3-030-96772-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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