An Effective and Reliable Cross-Blockchain Data Migration Approach

• Published in: Parallel and Distributed Computing, Applications and Technologies Vol. 13148; pp. 286 - 294
• Main Authors: Zhang, Mengqiu, Qu, Qiang, Ning, Li, Fan, Jianping, Yang, Ruijie
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2022; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Blockchain; Cross-blockchain; Data migration; Decentralized applications; Distributed transactions
• ISBN: 9783030967710; 3030967719
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-030-96772-7_26

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.