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An Efficient Query Architecture for Permissioned Blockchain

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Web Information Systems and Applications (WISA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13579))

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Abstract

For the existing permissioned blockchain system, consensus nodes process not only query requests but also write requests, which make themselves in a heavy workload that reduce the system’s performance. In this paper, we propose an efficient architecture which separates part of the query tasks from the consensus nodes to the secondary nodes, and present EQblockchain, a permissioned blockchain system following this architecture, to solve the problem mentioned above. EQblockchain divides transactions into two types: one is read-transactions, the other is write-transactions. We describe how query requests, i.e., read-transactions, are processed by the consensus nodes and the secondary nodes and how write requests update the blockchain state. Because the read-transactions are processed by the consensus nodes and secondary nodes, the system throughput is significantly increased. Besides, EQblockchain constructs a few inverted indexes to support range query, which also enhances the query ability. Furthermore, we conduct several experiments to show that EQblockchain not only has efficient performance in query-heavy workload but also slightly improves the throughput of the write requests, and really has good range query ability in comparison to the baseline.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (62172082, 62072084, 62072086), the Fundamental Research Funds for the central Universities (N2116008) and the Open Project Fund of Neusoft Corporation (NCBETOP2002).

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Correspondence to Derong Shen .

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Huang, X., Shen, D., Nie, T., Kou, Y., He, G., Xu, S. (2022). An Efficient Query Architecture for Permissioned Blockchain. In: Zhao, X., Yang, S., Wang, X., Li, J. (eds) Web Information Systems and Applications. WISA 2022. Lecture Notes in Computer Science, vol 13579. Springer, Cham. https://doi.org/10.1007/978-3-031-20309-1_61

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  • DOI: https://doi.org/10.1007/978-3-031-20309-1_61

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  • Online ISBN: 978-3-031-20309-1

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