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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      07 April 2023, Volume 38 Issue 2   
    Article

    RELIABILITY ENHANCEMENT MODEL FOR BLOCKCHAIN DATABASE SERVICES
    Eesha Mishra, Santosh Kumar
    Journal of Data Acquisition and Processing, 2023, 38 (2): 1493-1506 . 

    Abstract

    Blockchain is a new technology that is enabling more and more vital economic systems. Blockchain oracles are agents that retrieve data from the outside world because the execution environment of blockchain is cut off from it. Oracles are off-chain components that could be sources of failure in entire blockchain-based systems, despite the fact that blockchain is considered to be extremely dependable. It is still unknown whether blockchain oracles are reliable. In this study, we suggest a paradigm for evaluating and classifying the commercially available blockchain oracle mechanisms now in use. Fault Tree Study is the method we utilise for architecture analysis and re-liability modelling of blockchain oracle systems. Weak links that affect the overall dependability of a blockchain-based system can be found by calculating the reliability of oracles methods.

    Keyword

    Blockchain, Blockchain Database, Reliability, Reliability Analysis


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ISSN 1004-9037

         

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