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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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| Pubblicato in: | PLoS One |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2018
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| Soggetti: | |
| Accesso online: | 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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