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High-Accuracy Reliability Prediction Approach for Blockchain Services Under BaaS

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Blockchain and Trustworthy Systems (BlockSys 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1267))

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Abstract

With the continuous evolution of service-oriented computing paradigm, block- chain as a service (BaaS) has emerged, which is crucial in the development of blockchain-based applications. To build high-quality blockchain-based system, users must select highly reliable blockchain services (peers) with excellent quality of service (QoS). However, owing to the large number of services and the sparsity of personalized QoS data, it is difficult to select the optimal services. Hence, we propose a QoS-based blockchain service reliability prediction framework (BSRPF) under BaaS. In this framework, we employ a matrix factorization-based method to perform accurate QoS prediction. To validate BSPRF, we conducted experiments based on large-scale real-world data, and the results show that BSPRF achieves high prediction accuracy and outperforms other popular methods.

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Notes

  1. 1.

    https://www.ibm.com/blockchain/platform/.

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Acknowledgment

This research was financially supported by the National Natural Science Foundation of China (No. 61702318), the Shantou University Scientific Research Start-up Fund Project (No .NTF18024),2018 Provincial and Municipal Vertical Coordination Management Science and Technology Planning Project (No. 180917124960518), 2019 Guangdong province special fund for science and technology (“major special projects + task list”) project, and in part by 2020 Li Ka Shing Foundation Cross-Disciplinary Research Grant (No. 2020LKSFG08D).

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Authors and Affiliations

  1. College of Engineering, Shantou University, Shantou, 515063, China

    Jianlong Xu, Zicong Zhuang & Kun Wang

  2. College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China

    Wei Liang

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  1. Jianlong Xu
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  2. Zicong Zhuang
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  3. Kun Wang
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  4. Wei Liang
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Corresponding author

Correspondence to Jianlong Xu .

Editor information

Editors and Affiliations

  1. Sun Yat-sen University, Guangzhou, China

    Zibin Zheng

  2. Macau University of Science and Technology, Macau, China

    Hong-Ning Dai

  3. Kunming University of Science and Technology, Kunming, China

    Xiaodong Fu

  4. Dali University, Dali, China

    Benhui Chen

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Xu, J., Zhuang, Z., Wang, K., Liang, W. (2020). High-Accuracy Reliability Prediction Approach for Blockchain Services Under BaaS. In: Zheng, Z., Dai, HN., Fu, X., Chen, B. (eds) Blockchain and Trustworthy Systems. BlockSys 2020. Communications in Computer and Information Science, vol 1267. Springer, Singapore. https://doi.org/10.1007/978-981-15-9213-3_50

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  • DOI: https://doi.org/10.1007/978-981-15-9213-3_50

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