Next-Generation Data Center Network Enabled by Machine Learning: Review, Challenges, and Opportunities
Data center network (DCN) is the backbone of many emerging applications from smart connected homes to smart traffic control and is continuously evolving to meet the diverse and ever-increasing computing requirements of these applications. The data centers often have tens of thousands of components s...
Guardado en:
Autores principales: | Haiwei Dong, Ali Munir, Hanine Tout, Yashar Ganjali |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/7a80b40ca6804054bd31b66b32c3b4cc |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Virtual horizontal machining center LOLA HBG 80 for program verification and monitoring
por: Vorkapić Nikola, et al.
Publicado: (2021) -
A Review of Data Centers Energy Consumption and Reliability Modeling
por: Kazi Main Uddin Ahmed, et al.
Publicado: (2021) -
Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threats
por: Maarten R. Dobbelaere, et al.
Publicado: (2021) -
Applications of Machine Learning in Networking: A Survey of Current Issues and Future Challenges
por: M. A. Ridwan, et al.
Publicado: (2021) -
IMPLEMENTING OF MICROSOFT AZURE MACHINE LEARNING TECHNOLOGY FOR ELECTRIC MACHINES OPTIMIZATION
por: V. E. Pliugin, et al.
Publicado: (2019)