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Design and Research on B2B Trading Platform Based on Consortium Blockchains

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11063))

Abstract

With the development of economy and technology, blockchains has become the preferred technology to solve the credit problems of both parties. Taking the sensitivity of transaction data into account, the use of blockchains technology in the B2B trading system is very appropriate. The credit problem of the B2B trading platform are solved in the article by introducing consortium blockchains technology, and a container-based cloud platform based on docker and kubernetes is built to improve the performance in the application of the consortium blockchains. First, it solves the problem of node performance bottleneck caused by the sudden increase of nodes, high-frequency transactions, and overclocking transactions. Second, it solves the problem of rapid iterative upgrade of node system versions with the rapid development of consortium blockchains technology, and securely stores consortium blockchains data and enterprise’s own sensitive data. The platform, to a certain extent, solved the credit problems of the transactions between enterprises, and at the same time reduced the time cost and the economic cost of the company.

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Acknowledgements

This research work was supported by the National Natural Science Foundation of China (Grant No. 61762031), Guangxi Key Research and Development Plan (No. 2017AB51024), GuangXi key Laboratory of Embedded Technology and Intelligent System.

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Correspondence to Qiangqing Zheng .

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Xie, X., Zheng, Q., Guo, Z., Wang, Q., Li, X. (2018). Design and Research on B2B Trading Platform Based on Consortium Blockchains. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11063. Springer, Cham. https://doi.org/10.1007/978-3-030-00006-6_40

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  • DOI: https://doi.org/10.1007/978-3-030-00006-6_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00005-9

  • Online ISBN: 978-3-030-00006-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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