Enhancing the raft consensus algorithm

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Barma Vishwanth; Talakoti Snigdha

Enhancing the raft consensus algorithm

Authors: Barma Vishwanth, Talakoti Snigdha

Unique Paper ID: 163668
Volume: 10
Issue: 11
PageNo: 2446-2453

Keywords: Raft consensus algorithm machine learning federated learning privacy.

Abstract:
Use of IOT devices increased rapidly and most of the data is collected, that data is being developed into smart data to understand the activities of users in public spaces. Huge data sets are difficult to analyse using traditional processing techniques, so organisations turned to conversion of smart data by using advanced AI and Machine Learning techniques. To ensure data transparency and privacy for personal and sensitive information, private blockchains are applied with Raft Consensus algorithm. Huge data results in more number of nodes which increase transactions and number of messages. To reduce overall system degradation, the collected transactions are divided into certain amount of transactions into cells, where these cells are optimised in the blockchain system using Raft algorithm. Therefore, we developed an algorithm which is cell based and reduces massive transactions in the smart data market.

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Cite This Article

ISSN: 2349-6002
Volume: 10
Issue: 11
PageNo: 2446-2453

Enhancing the raft consensus algorithm

Available:https://ijirt.org/article?manuscript=163668

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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