Load Prediction for Data Centers Based on Database Service
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Gang Wang | Jing Li | Rui Cao | Xiaoguang Liu | Zhaoyang Yu | Trent G. Marbach | G. Wang | X. Liu | Jing Li | T. Marbach | Zhaoyang Yu | Rui Cao
[1] Mohammed Samaka,et al. Machine Learning for Anomaly Detection and Categorization in Multi-Cloud Environments , 2017, 2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud).
[2] John B. Shoven,et al. I , Edinburgh Medical and Surgical Journal.
[3] Johan A. K. Suykens,et al. Least Squares Support Vector Machine Classifiers , 1999, Neural Processing Letters.
[4] Lyudmila Sukhostat,et al. Anomaly detection in network traffic using extreme learning machine , 2016, 2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT).
[5] Ricardo Bianchini,et al. Resource Central: Understanding and Predicting Workloads for Improved Resource Management in Large Cloud Platforms , 2017, SOSP.
[6] J. Chase,et al. Data Center Workload Monitoring , Analysis , and Emulation , 2005 .
[7] Bo Deng,et al. Workload prediction for cloud computing elasticity mechanism , 2016, 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).
[8] Rajkumar Buyya,et al. Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges , 2010, PDPTA.
[9] Karl Aberer,et al. Robust Online Time Series Prediction with Recurrent Neural Networks , 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).
[10] Nong Ye,et al. Naïve Bayes Classifier , 2013 .
[11] Tin Kam Ho,et al. The Random Subspace Method for Constructing Decision Forests , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[14] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[15] J. Hilbe. Logistic Regression Models , 2009 .
[16] David A. Landgrebe,et al. A survey of decision tree classifier methodology , 1991, IEEE Trans. Syst. Man Cybern..
[17] S. Bacha,et al. Hourly server workload forecasting up to 168 hours ahead using Seasonal ARIMA model , 2012, 2012 IEEE International Conference on Industrial Technology.
[18] Arif Merchant,et al. Projecting disk usage based on historical trends in a cloud environment , 2012, ScienceCloud '12.
[19] Yao Lu,et al. RVLBPNN: A Workload Forecasting Model for Smart Cloud Computing , 2016, Sci. Program..
[20] Evgenia Smirni,et al. PRACTISE: Robust prediction of data center time series , 2015, 2015 11th International Conference on Network and Service Management (CNSM).
[21] P. Young,et al. Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.
[22] Joseph E. Beck,et al. Naive Bayes Classifiers for User Modeling , 1999 .
[23] Yisong Yue,et al. Telemetry Anomaly Detection System Using Machine Learning to Streamline Mission Operations , 2017, 2017 6th International Conference on Space Mission Challenges for Information Technology (SMC-IT).
[24] Rajkumar Buyya,et al. Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS , 2015, IEEE Transactions on Cloud Computing.
[25] Arif Merchant,et al. Storage provisioning and allocation in a large cloud environment , 2012 .
[26] 藤井 光昭,et al. Autoregressive Integrated Moving Average (p,d,q)モデルについて (時系列解析の推測 : 理論と応用) , 1981 .
[27] Barbara Pernici,et al. Managing the complex data center environment: an Integrated Energy-aware Framework , 2014, Computing.
[28] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .
[29] Jian Weng,et al. Machine Learning-Based Malicious Application Detection of Android , 2017, IEEE Access.
[30] Srinivas Katkoori,et al. LSTM-Based Memory Profiling for Predicting Data Attacks in Distributed Big Data Systems , 2017, 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
[31] Yusuf Yaslan,et al. A hybrid method for time series prediction using EMD and SVR , 2014, 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP).
[32] Kristin L. Sainani,et al. Logistic Regression , 2014, PM & R : the journal of injury, function, and rehabilitation.
[33] Kresimir Mihic,et al. A system for online power prediction in virtualized environments using gaussian mixture models , 2010, Design Automation Conference.
[34] Murat Can Ganiz,et al. A machine learning approach to database failure prediction , 2017, 2017 International Conference on Computer Science and Engineering (UBMK).
[35] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[36] Jean-Marc Menaud,et al. Cloud Workload Prediction and Generation Models , 2017, 2017 29th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).