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Handling conditional queries and data storage on Hyperledger Fabric efficiently

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Abstract

As a popular consortium blockchain platform, Hyperledger Fabric has received increasing attention recently. When executing transactions on such platform, it usually costs a lot of time and hardly to achieve high efficiency. Although efficiently handling transactions can be leveraged to support various use-cases, it presents significant challenges as data on Hyperledger Fabric is organized on file-system and exposed via limited API. We tackle the problem in two ways: conditional queries and data storage. In this paper, we propose the following novel methods. To improve the performance of conditional queries on Hyperledger Fabric, we use all attributes of the query to create composite keys before executing it. In order to achieve further performance improvements, we build an index called AUP in the second method, where we also study the update of AUP during transactions. To speed up data storage on Hyperledger Fabric, We create a cache for the data in the block header. The extensive experiments conducted on the real-world dataset demonstrate that the proposed methods can achieve high performance in terms of efficiency and memory cost. Finally, We implement a prototype system.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (GrantNo. 61572335,61572336, 61902270), and the Major Program of Natural Science Foundation, Educational Commission of Jiangsu Province, China (GrantNo. 19KJA610002), and the Natural Science Foundation, Educational Commission of Jiangsu Province, China (Grant No.19KJB520052, 19KJB520050), and the Priority Academic Program Developmentof Jiangsu Higher Education Institutions.

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Authors and Affiliations

  1. School of Computer Science and Technology, Soochow University, Su Zhou, China

    Tianlu Yan, Pengpeng Zhao, Zhixu Li, An Liu & Lei Zhao

  2. Institute of Artificial Intelligence, Soochow University, Su Zhou, China

    Wei Chen

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  1. Tianlu Yan
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  2. Wei Chen
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  3. Pengpeng Zhao
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  4. Zhixu Li
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  5. An Liu
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Correspondence to Lei Zhao.

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This article belongs to the Topical Collection: Special Issue on Web Information Systems Engineering 2019

Guest Editors: Reynold Cheng, Nikos Mamoulis, and Xin Huang

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Yan, T., Chen, W., Zhao, P. et al. Handling conditional queries and data storage on Hyperledger Fabric efficiently. World Wide Web 24, 441–461 (2021). https://doi.org/10.1007/s11280-020-00844-5

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