Abstract
Blockchain plays an important role in the secure storage and efficient query of application data, and blockchain query performance is also a challenging research task. The system may send a large number of query requests to a node with strong responsiveness, which will cause the node to be paralyzed and cause the system to crash. Due to the high time complexity of consensus reached by single-layer nodes in the consortium blockchain system, it affects the generation of new blocks, which indirectly affects the system query performance and reduces query efficiency. And for a multi-node system, using the same access priority for nodes with different corresponding rates will undoubtedly affect the query efficiency of the system. This paper proposes a query method in the case of multiple nodes in a consortium blockchain network. This method divides nodes into different levels according to their response capabilities, gives incentive values to nodes that successfully respond to query requests, and dynamically adjusts the level of nodes according to the incentive values. The higher the level, the higher the access priority, which fully considers the security and query performance. The experimental results show that the performance of the method proposed in this paper is better than the existing multi-node query methods of the consortium blockchain, which can improve the query performance of the consortium blockchain system and ensure the security of the system.
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References
Nakamoto, S.: Bitcoin: A Peer-to-Peer Electronic Cash System[EB/OL].(2008–11–1) metzdowd.com
Benčić, F.M., Podnar Žarko, I.: Distributed ledger technology: blockchain com-pared to directed acyclic graph. In: 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), pp. 1569–1570 (2018)
Lone, A.H., Naaz, R.: Demystifying cryptography behind blockchains and a vision for post-quantum blockchains. In: 2020 IEEE International Conference for Innovation in Technology (INOCON), pp. 1–6 (2020)
Zhang, C., Xu, C., Wang, H., et al.: Authenticated keyword search in scalable hybrid-storage blockchains. In: 2021 IEEE 37th International Conference on Data Engineering (ICDE), pp. 996–1007. IEEE (2021)
Xing, C., Fu, X., Zhang, Y., Zhang, G., Borjigin, C. (eds.): WISA 2021. LNCS, vol. 12999. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-87571-8
Li, Y., Zheng, K., Yan, Y., Liu, Q., Zhou, X.: EtherQL: a query layer for blockchain system. In: Candan, S., Chen, L., Pedersen, T.B., Chang, L., Hua, W. (eds.) DASFAA 2017. LNCS, vol. 10178, pp. 556–567. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-55699-4_34
Blockchain.com (2019). https://www.blockchain.com/explorer
Kalodner, H., et al.: BlockSci: Design and applications of a blockchain analysis plat-form. In: 29th USENIX Security Symposium (USENIX Security 20), pp. 2721–2738 (2020)
Ren, K., Wang, C., Wang, Q.: Security challenges for the public cloud. IEEE Internet Comput. 16(1), 69–73 (2012)
Dinh, A., Wang, J., Wang, S., et al.: UStore: A distributed storage with rich semantics [EB/OL]. https://arxiv.org/abs/1702.02799, 2017–7–9
Wu, H., Peng, Z., Guo, S., et al.: VQL: efficient and verifiable cloud query services for blockchain systems. IEEE Trans. Parallel Distrib. Syst. 33(6), 1393–1406 (2021)
Xu, C., Zhang, C., Xu, J.: vchain: enabling verifiable boolean range queries over block-chain databases. In: Proceedings of the 2019 International Conference on Management of Data, pp. 141–158 (2019)
Gupta, H., Hans, S., Aggarwal, K., et al.: Efficiently processing temporal queries on hyperledger fabric. In: 2018 IEEE 34th International Conference on Data Engineering (ICDE), pp. 1489–1494. IEEE (2018)
Li, W., Feng, C., Zhang, L., et al.: A scalable multi-layer PBFT consensus for blockchain. IEEE Trans. Parallel Distrib. Syst. 32(5), 1146–1160 (2020)
Qi, X., Zhang, Z., Jin, C., Zhou, A.: A reliable storage partition for permissioned blockchain. IEEE TKDE 33(1), 14–27 (2020)
Androulaki, E., Barger, A., Bortnikov, V., et al.: Hyperledger fabric: a distributed operating system for permissioned blockchains. In: Proceedings of the Thirteenth EuroSys Conference, pp. 1–15. ACM (2018)
Chacko, J.A., Mayer, R., Jacobsen, H.A.: Why do my blockchain transactions fail? a study of hyperledger fabric. In: Proceedings of the 2021 International Conference on Management of Data, pp. 221–234 (2021)
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This work was supported by the National Social Science Foundation(21&ZD124) .
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Zhou, Z., Nie, T., Shen, D., Kou, Y. (2022). MCQL: A Multi-node Consortium Blockchain Query Method Based on Node Dynamic Adjustment. 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_62
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