Distributed Database Management With Integration of Blockchain and Long Short-Term Memory

Siddesh G. M., S. R. Mani Sekhar, Vighnesh S., Nikhila Sai, Deepthi Sai and Sanjana D.
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Siddesh G. M.: Ramaiah Institute of Technology, India
S. R. Mani Sekhar: Ramaiah Institute of Technology, India
Vighnesh S.: Ramaiah Institute of Technology, India
Nikhila Sai: Ramaiah Institute of Technology, India
Deepthi Sai: Ramaiah Institute of Technology, India
Sanjana D.: Ramaiah Institute of Technology, India

International Journal of Information Retrieval Research (IJIRR), 2021, vol. 11, issue 3, 18-33

Abstract: Supply chain management is the broad range of activities required to plan, control, and execute the flow of a product. As a less corruptible and more automated alternative to traditional databases, blockchains are well suited to the complicated record-keeping. However distributed database management system is a centralized software system; the blockchain technology can overcome the problem of synchronization between multiple databases; it also ensures that integrity problems are solved. In the proposed model, Ethereum blockchain is used to solve a few major supply chain problems to manage a distributed database. The model has incorporated techniques to predict the rise and fall of the demand for the medicine in the market by using machine learning algorithms such as linear regression and LSTM; also, the trend predicted by both the models has been compared. The result shows that while using linear regression the predicted trend is not very accurate and cannot trace the actual trend closely whereas BLSTM has performed well in predicting the trends of time series data.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jirr00:v:11:y:2021:i:3:p:18-33

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