CPU workload forecasting of machines in data centers using LSTM recurrent neural networks and ARIMA models.

Deepak Janardhanan Enda Barrett

Published in: ICITST (2017)

Keyphrases

recurrent neural networks
data center
nonlinear dynamic systems
long short term memory
echo state networks
artificial neural networks
neural network

reservoir computing
neural model
short term
recurrent networks
chaotic time series
power consumption
feed forward

energy efficiency
arima model
neural models
prediction model
energy consumption
artificial intelligence
commercial web search engines

learning algorithm
database
real time
hybrid model
machine learning
long term