Enhancing computational scalability in Blockchain by leveraging improvement in consensus algorithm

Jabbar, S ORCID: https://orcid.org/0000-0002-2127-1235, Abideen, ZU, Khalid, S ORCID: https://orcid.org/0000-0003-0899-7354, Ahmad, A ORCID: https://orcid.org/0000-0001-5483-2732, Raza, U ORCID: https://orcid.org/0000-0002-9810-1285 and Akram, S (2023) Enhancing computational scalability in Blockchain by leveraging improvement in consensus algorithm. Frontiers in Computer Science, 5. 1304590.

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Abstract

Accommodating an increasing number of users in the Blockchain network has moved to the forefront of discussion. It is also evident that without jeopardizing the data security in Blockchain, it is of indispensable need to devise an appropriate method for improving the scalability trait of Blockchain. In this article, we have proposed a consensus method that is having the potential to improve the scalability of the Private Blockchain. The system, at first, mitigates latency arising from kernel schedulers, ensuring that the application consistently has access to an available core for transaction processing. Secondly, the committee system alleviates the network's workload, preventing spurious transactions from monopolizing network resources and impeding its efficiency. Extensive experimentation is made by considering various scenarios of transaction with CPU isolation and application sticking to core 2 with varied priority. Based on the number of transactions performed per second, the proposed system is compared with different existing consensus mechanisms working in various types of Blockchains. Also, a detailed discussion is presented on the critical analysis of the adopted research mechanism. Overall, the proposed systems outperforms to other systems in various parameters of blockchain network scalability.