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LoCom: An Efficient Load-Balanced Concurrency Optimization Method for Bulk-Commodity Regulatory Systems

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Service Science (ICSS 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1844))

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Abstract

To address the lack of effective regulatory measures for the bulk-commodities electronic trading market, a trusted transaction depository system was built using Hyperledger Fabric as a framework to meet the needs of the bulk-commodities regulatory scenario, but the performance of the current Fabric can hardly meet such a large throughput. In this paper, an efficient load-balanced concurrency optimization method (LoCom) for bulk-commodity regulatory systems is proposed. Parallelisation of the endorsement phase is accomplished by transforming the underlying logic of the endorsement phase in this method. For the modified multi-container endorsement scenario, external chain code technology is introduced to manage the endorsement containers, and the transactions are distributed to different containers through dynamic load balancing algorithms. Meanwhile, a multi-threaded approach was adopted to verify the read and write sets of transactions, while parallelising the writing to the historical database and updating the ledger. Through stress testing, the system throughput is increased by nearly two times, close to the limit value in the ideal state, and the number of transactions distributed by the algorithm is basically even.

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Acknowledgement

The work of this paper is supported by the National Key Research and Development Program of China (No. 2019YFA0709502), National Natural Science Foundation of China under Grant (No. 61873309, No. 92046024, No. 92146002) and Shanghai Science and Technology Project under Grant (No. 22510761000) and Shanghai Promotion of High Quality Industrial Development Project (No. 213202).

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Authors and Affiliations

  1. School of Computer Science, Fudan University, Shanghai, China

    Hengqi Guo, Wenbin Huang, Junxiong Lin, Zhihui Lu & Shijing Hu

  2. Shanghai United Credit Services Co., Ltd., Shanghai, China

    Lianggui Chen, Gao Zou & Dayao Sha

Authors
  1. Hengqi Guo
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  2. Lianggui Chen
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  3. Wenbin Huang
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  4. Junxiong Lin
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  5. Zhihui Lu
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  6. Shijing Hu
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  7. Gao Zou
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  8. Dayao Sha
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Corresponding author

Correspondence to Lianggui Chen .

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Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, China

    Zhongjie Wang

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Shangguang Wang

  3. Harbin Institute of Technology, Harbin, China

    Hanchuan Xu

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Guo, H. et al. (2023). LoCom: An Efficient Load-Balanced Concurrency Optimization Method for Bulk-Commodity Regulatory Systems. In: Wang, Z., Wang, S., Xu, H. (eds) Service Science. ICSS 2023. Communications in Computer and Information Science, vol 1844. Springer, Singapore. https://doi.org/10.1007/978-981-99-4402-6_35

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  • DOI: https://doi.org/10.1007/978-981-99-4402-6_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-4401-9

  • Online ISBN: 978-981-99-4402-6

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