A novel approach for CPU load prediction of cloud server combining denoising and error correction

[1]  Keqin Li,et al.  An Artificial Neural Network Approach to Power Consumption Model Construction for Servers in Cloud Data Centers , 2020, IEEE Transactions on Sustainable Computing.

[2]  Victor Chang,et al.  Scheduling Algorithms for Heterogeneous Cloud Environment: Main Resource Load Balancing Algorithm and Time Balancing Algorithm , 2019, Journal of Grid Computing.

[3]  Gong Wang,et al.  Wind Speed Prediction Based on CEEMDAN-ESN and Error Correction Strategy , 2019, 2019 Chinese Automation Congress (CAC).

[4]  J. Kelner,et al.  Resource allocation based on redundancy models for high availability cloud , 2019, Computing.

[5]  Taiyong Li,et al.  A CEEMDAN and XGBOOST-Based Approach to Forecast Crude Oil Prices , 2019, Complex..

[6]  Selma Boumerdassi,et al.  Adaptive ARMA Based Prediction of CPU Consumption of Servers into Datacenters , 2018, MSPN.

[7]  Victor Chang,et al.  An innovative neural network approach for stock market prediction , 2018, The Journal of Supercomputing.

[8]  Tie-Yan Liu,et al.  LightGBM: A Highly Efficient Gradient Boosting Decision Tree , 2017, NIPS.

[9]  Enda Barrett,et al.  Predicting host CPU utilization in cloud computing using recurrent neural networks , 2017, 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST).

[10]  牛淑文 基于经验模态分解理论的去噪方法研究 The Research of Denoising Method Based on Empirical Mode Decomposition Theory , 2017 .

[11]  Jordi Guitart,et al.  Toward sustainable data centers: a comprehensive energy management strategy , 2017, Computing.

[12]  P. Sanjeevi,et al.  NUTS scheduling approach for cloud data centers to optimize energy consumption , 2017, Computing.

[13]  Garrison W. Cottrell,et al.  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction , 2017, IJCAI.

[14]  Yangkang Chen,et al.  Fast dictionary learning for noise attenuation of multidimensional seismic data , 2017, Geophysical Journal International.

[15]  Xu Fan,et al.  A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting , 2017 .

[16]  Richard E. Brown,et al.  United States Data Center Energy Usage Report , 2016 .

[17]  Vijander Singh,et al.  Weekly Load Prediction Using Wavelet Neural Network Approach , 2016, 2016 Second International Conference on Computational Intelligence & Communication Technology (CICT).

[18]  Erwan Scornet,et al.  A random forest guided tour , 2015, TEST.

[19]  Md Taufeeq Uddin,et al.  Human activity recognition from wearable sensors using extremely randomized trees , 2015, 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT).

[20]  Jürgen Schmidhuber,et al.  LSTM: A Search Space Odyssey , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[21]  Stratis Ioannidis,et al.  Privacy-Preserving Ridge Regression on Hundreds of Millions of Records , 2013, 2013 IEEE Symposium on Security and Privacy.

[22]  Jian Cao,et al.  Long-Term CPU Load Prediction , 2011, 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing.

[23]  A. Gobiet,et al.  Empirical‐statistical downscaling and error correction of daily precipitation from regional climate models , 2011 .

[24]  Patrick Flandrin,et al.  A complete ensemble empirical mode decomposition with adaptive noise , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[25]  Boris Aronov,et al.  Fréchet Distance for Curves, Revisited , 2006, ESA.

[26]  Arthur E. Hoerl,et al.  Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.

[27]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[28]  Yunpeng Wang,et al.  A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting , 2016 .

[29]  Ruay-Shiung Chang,et al.  A Predictive Method for Workload Forecasting in the Cloud Environment , 2013, EMC/HumanCom.

[30]  Norden E. Huang,et al.  Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method , 2009, Adv. Data Sci. Adapt. Anal..

[31]  A. A. Weiss,et al.  Time series analysis of error-correction models , 2001 .

[32]  H. Mannila,et al.  Computing Discrete Fréchet Distance ∗ , 1994 .