… improvement aims to obtain a complete understanding of predictive resource management
and workload predictors’ impacts in real clouds, as well as a better understanding of the …

… of the workload prediction schemes proposed in the literature to improve resource management
in … It first provides the required knowledge regarding the workload prediction context and …

… of resource management types such as workload prediction, … Microsoft Azure makes use
of a framework resource central … resource demand will increase or not and then predicts …

… We will also investigate more sophisticated models in order to improve workload prediction
accuracy and performance across all metrics. Specifically, we will investigate different …

… main purposes: first, predict future workload behaviors and traces; second, from a set of ML
methods and a context, choose one that predicts the workload better… To predict workload, we …

… time for task scheduling based on predicted workload. To further improve the prediction
accuracy, we introduce a clustering based workload prediction method, which first clusters all the …

… learning for prediction of time … prediction of workload and resource time series. The
experimental comparison demonstrates that the prediction accuracy of the proposed method is better …

… as predicting changes in workloads, assessing resource demands, … a better grasp of the
most recent developments in this area. … on prediction models utilized for predicting workloads, re…

… Resource management and workload prediction have always been challenges in … improve
the effectiveness of resource management by enhancing the precision of workload prediction. …

… ] suggests that prior knowledge of upcoming workload can assist in … increase due to errors
in predicting future workloads. Now, the two key challenges are: ðiÞ How to deploy prediction …