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Approach of machine learning application in predicting the load of virtual computing systems

Nesterov Yu.   (Bauman Moscow State Technical University)

Kalistratov A.   (Bauman Moscow State Technical University)

Afanasyev G.   (Bauman Moscow State Technical University)

The article presents an approach towards predicting the load on the computational systems, expressed in the number of incoming requests for the execution of various tasks, based on the methods of machine learning. By applying the implementation of gradient boosting technology, the authors train the model and then restore the time series with its help. Authors estimate the accuracy and completeness of the obtained forecast. Obtained data can be used to further solution of the problem of forecasting the amount of computing resources required to perform the selected class of tasks

Keywords:forecasting, computer systems, machine learning,forecasting, computer systems
 

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Citation link:
Nesterov Y. , Kalistratov A. , Afanasyev G. Approach of machine learning application in predicting the load of virtual computing systems // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2019. -№11-2. -С. 73-76
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