Workload forecasting and energy state estimation in cloud data centres: ML-centric approach

Utilization-prediction-aware virtual machine consolidation approach for energy-efficient cloud data centers

(2020) Sun-Yuan Hsieh et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

An energy efficient anti-correlated virtual machine placement algorithm using resource usage predictions

(2019) Rachael Shaw et al.   SIMULATION MODELLING PRACTICE AND THEORY

Characterizing sediment sources by non-negative matrix factorization of detrital geochronological data

(2019) J.E. Saylor et al.   EARTH AND PLANETARY SCIENCE LETTERS

Energy-efficient and quality-aware VM consolidation method

(2019) Zhihua Li et al.   Future Generation Computer Systems-The International Journal of eScience

Adaptive Prediction Models for Data Center Resources Utilization Estimation

(2019) Shuja-Ur-Rehman Baig et al.   IEEE Transactions on Network and Service Management

Experimental and quantitative analysis of server power model for cloud data centers

(2018) Weiwei Lin et al.   Future Generation Computer Systems-The International Journal of eScience

Machine Learning-Based Temperature Prediction for Runtime Thermal Management Across System Components

(2018) Kaicheng Zhang et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Clustering by Local Gravitation

(2018) Zhiqiang Wang et al.   IEEE Transactions on Cybernetics

Virtual Machine Consolidation with Multiple Usage Prediction for Energy-Efficient Cloud Data Centers

(2017) Trung Hieu Nguyen et al.   IEEE Transactions on Services Computing

A hybrid heuristic-based tuned support vector regression model for cloud load prediction

(2015) Masoud Barati et al.   JOURNAL OF SUPERCOMPUTING

A Tree Regression-Based Approach for VM Power Metering

(2015) Chonglin Gu et al.   IEEE Access

Empirical prediction models for adaptive resource provisioning in the cloud

(2011) Sadeka Islam et al.   Future Generation Computer Systems-The International Journal of eScience