A Comprehensive Examination of Consensus Algorithms and Their Impact on Blockchain Scalability

This paper goes one step ahead into a suggested testbed design with which empirical analysis can be carried out. Deep, extended consensus methods and their relative impact on blockchain scalability are analyzed. Our experimental configuration is based on two mining nodes and a master node, and to be precise, it is a blockchain network consisting of five physical nodes arranged in such a way so as to use Proof of Work (PoW) and Round Robin as separate consensus procedures. Architecture even ensures safe communication through Java-based remote clients running RPC commands with a JSON base. The performance of each consensus algorithm was tested using a series of scalability tests in order to find the transaction throughput and execution times under a different transaction load. According to the results shown, as the transactions are transmitted in bigger quantities, Round Robin outperforms PoW by way of the number of transactions processing and throughput time. In particular, it presented a comparative advantage relative to Proof of Work in terms of efficiency by processing transactions much faster and maintaining higher throughput levels. Overall, these results highlight the significance of properly selecting the consensus algorithm in the quest for blockchain performance optimization, especially under scenarios where fast transaction processing is paramount. In a nutshell, this study will conclude with the trade-off between efficiency and decentralization of blockchains within applications and recommend Round Robin as a feasible solution if speed in transaction matters.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/icicec62498.2024.10808240
Citations
2
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
1.56
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article

A Comprehensive Examination of Consensus Algorithms and Their Impact on Blockchain Scalability

K. V. S. Murthy, Y Laxmi Prasanna, Kanneboina Ashok, S Sindhura et al.
2 citations
Blockchain Technology Applications and Security
1.56
article

A Comprehensive Examination of Consensus Algorithms and Their Impact on Blockchain Scalability

K. V. S. Murthy, Y Laxmi Prasanna, Kanneboina Ashok, S Sindhura, M Veera Brahmam, V T Ram Pavan Kumar M
article en
2 citations

Abstract

This paper goes one step ahead into a suggested testbed design with which empirical analysis can be carried out. Deep, extended consensus methods and their relative impact on blockchain scalability are analyzed. Our experimental configuration is based on two mining nodes and a master node, and to be precise, it is a blockchain network consisting of five physical nodes arranged in such a way so as to use Proof of Work (PoW) and Round Robin as separate consensus procedures. Architecture even ensures safe communication through Java-based remote clients running RPC commands with a JSON base. The performance of each consensus algorithm was tested using a series of scalability tests in order to find the transaction throughput and execution times under a different transaction load. According to the results shown, as the transactions are transmitted in bigger quantities, Round Robin outperforms PoW by way of the number of transactions processing and throughput time. In particular, it presented a comparative advantage relative to Proof of Work in terms of efficiency by processing transactions much faster and maintaining higher throughput levels. Overall, these results highlight the significance of properly selecting the consensus algorithm in the quest for blockchain performance optimization, especially under scenarios where fast transaction processing is paramount. In a nutshell, this study will conclude with the trade-off between efficiency and decentralization of blockchains within applications and recommend Round Robin as a feasible solution if speed in transaction matters.

Advanced Numerical Research and Analysis Group (IN)
Openalex Percentile: Top 11%
Blockchain Technology Applications and Security
1.56
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