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Forecasting short-term data center network traffic load with convolutional neural networks
Efficient resource management in data centers is of central importance to content service providers as 90 percent of the network traffic is expected to go through them in the coming years. In this context we propose the use of convolutional neural networks (CNNs) to forecast short-term changes in th...
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| Publicado no: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5800645/ https://ncbi.nlm.nih.gov/pubmed/29408936 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0191939 |
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