[HTML][HTML] 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 …
providers as 90 percent of the network traffic is expected to go through them in the coming …
Forecasting short-term data center network traffic load with convolutional neural networks
A Mozo, B Ordozgoiti, S Gómez-Canaval - PLOS ONE, 2018 - econpapers.repec.org
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 …
providers as 90 percent of the network traffic is expected to go through them in the coming …
Forecasting short-term data center network traffic load with convolutional neural networks.
A Mozo, B Ordozgoiti, S Gómez-Canaval - PLoS ONE, 2018 - search.ebscohost.com
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 …
providers as 90 percent of the network traffic is expected to go through them in the coming …
Forecasting short-term data center network traffic load with convolutional neural networks
A Mozo, B Ordozgoiti, S Gómez-Canaval - PLOS ONE, 2018 - ideas.repec.org
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 …
providers as 90 percent of the network traffic is expected to go through them in the coming …
Forecasting short-term data center network traffic load with convolutional neural networks
A Mozo, B Ordozgoiti, S Gómez-Canaval - PloS one, 2018 - pubmed.ncbi.nlm.nih.gov
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 …
providers as 90 percent of the network traffic is expected to go through them in the coming …
Forecasting short-term data center network traffic load with convolutional neural networks.
A Mozo, B Ordozgoiti, S Gómez-Canaval - Plos one, 2018 - europepmc.org
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 …
providers as 90 percent of the network traffic is expected to go through them in the coming …
Forecasting short-term data center network traffic load with convolutional neural networks
A Mozo, B Ordozgoiti, S Gomez-Canaval - PLoS ONE, 2018 - go.gale.com
Nowadays, there is a general consensus in the Information and Communications
Technology (ICT) industry regarding the higher demands in network bandwidth and speed …
Technology (ICT) industry regarding the higher demands in network bandwidth and speed …
[HTML][HTML] Forecasting short-term data center network traffic load with convolutional neural networks
A Mozo, B Ordozgoiti, S Gómez-Canaval - PLoS ONE, 2018 - ncbi.nlm.nih.gov
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 …
providers as 90 percent of the network traffic is expected to go through them in the coming …
[PDF][PDF] Forecasting short-term data center network traffic load with convolutional neural networks
A Mozo, B Ordozgoiti, S Gómez-Canaval - PLoS ONE, 2018 - pdfs.semanticscholar.org
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 …
providers as 90 percent of the network traffic is expected to go through them in the coming …
[引用][C] Forecasting short-term data center network traffic load with convolutional neural networks
A Mozo, B Ordozgoiti, S Gómez-Canaval - PLoS ONE, 2018 - ui.adsabs.harvard.edu
Forecasting short-term data center network traffic load with convolutional neural networks -
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