Open Access
Blockchain Consensus Mechanisms: Performance Analysis
Marco Rossi
1
,
Emma Wilson
2
,
Pierre Martin
3
,
Emma Wilson
2
,
Pierre Martin
3
1
University of Bologna, Italy
2
University of Melbourne, Australia
3
INRAE, France
Abstract
This study investigates this research area using advanced computational methods. We propose a novel framework that combines advanced algorithms with modern techniques to achieve improved performance. The experimental results demonstrate significant improvements, achieving up to 41% enhancement in overall efficiency. Our approach integrates multiple data sources to create comprehensive predictive models. The findings suggest that significant improvements can be achieved with the proposed approach.
Keywords
cloud computing,microservices,DevOps,containers,Kubernetes
How to Cite
Rossi, M., Wilson, E., & Martin, P. (2020). Blockchain Consensus Mechanisms: Performance Analysis. Nivo Light - International Journal of Research & Innovation, 2(4), 33–38. https://doi.org/10.28051/ojstest-65
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