The impact of consensus algorithms on the performance of high-load computer systems

DOI: 10.31673/2412-9070.2025.022664

Abstract

This article explores the impact of various consensus algorithms on the performance of high-load computing systems, providing an in-depth examination of how these algorithms can be effectively implemented to meet the challenges posed by contemporary data processing requirements. Central to the operation of blockchain networks is the consensus mechanism, which serves as a foundational element that governs essential system parameters, including transaction speed, overall security, and resilience against malicious attacks. The selection of an appropriate consensus algorithm is crucial, as it directly influences the performance metrics of a distributed network, including its scalability and energy consumption.
The article undertakes a comprehensive analysis of the primary consensus algorithms, delineating their respective advantages and limitations in the context of high-load computing environments. A significant focus is placed on pivotal characteristics such as process latency, which affects the time taken for transaction confirmations, and the efficiency of computational resource utilization, which is critical for maintaining optimal performance under varying loads.
By examining the intricacies of these algorithms, this research aims to provide a nuanced understanding of how different consensus mechanisms can be leveraged to improve the functionality and performance of blockchain systems. Furthermore, the article introduces methodological frameworks for selecting the most suitable consensus algorithm tailored to specific use cases within high-load environments. The insights derived from this analysis are intended to facilitate the development of more robust and adaptable blockchain solutions, ultimately ensuring their alignment with the evolving demands of contemporary distributed computing landscapes.

Keywords: blockchain, consensus algorithms, performance, high-load systems, information system, network, information technology, computer system