An Intelligent Regressive Ensemble Approach for Predicting Resource Usage in Cloud Computing
In this An Intelligent Regressive Ensemble Approach for Predicting Resource Usage in Cloud Computing paper, an Intelligent Regressive Ensemble Approach for Prediction (REAP) has been proposed that integrates feature selection and resource prediction techniques to achieve high performance. In a real cloud environment, the effectiveness of the proposed approach is evaluated by conducting a series of experiments.
Platform : cloud computing
We presented an adaptive resource utilization prediction system for IaaS cloud in this paper. We used real trace, i.e. Bitbrains data center FastStorage, to evaluate our system. The system predicts four hundred future data samples, i.e. 400 minute workload demand.