Open Access
Software-Defined Networking for Data Center Operations
Michael Johnson
1
,
Ayşe Yılmaz
2
,
Ayşe Yılmaz
2
1
Massachusetts Institute of Technology, USA
2
Istanbul Technical University, Turkey
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 45% 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
machine learning,deep learning,neural networks,artificial intelligence,data science
How to Cite
Johnson, M., & Yılmaz, A. (2021). Software-Defined Networking for Data Center Operations. Nivo Light - International Journal of Research & Innovation, 3(3), 70–74. https://doi.org/10.28051/ojstest-100
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