FORECASTING-AT-SCALE ALGORITHMS FOR PREDICTION CLUSTER WORKLOAD

Vitalii Omelchenko; Oleksandr Rolik

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Vitalii Omelchenko Department of Information Systems and Technologies, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute, Ukraine https://orcid.org/0000-0002-3850-6555
Oleksandr Rolik National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine https://orcid.org/0000-0001-8829-4645

Abstract

The paper deals with the issue of predicting workloads in a cluster to use in proactive scaling of computing resources. Forecasting-at-scale algorithms Prophet and Greykite for forecasting time series are considered, their accuracy and universality are evaluated.

FORECASTING-AT-SCALE ALGORITHMS FOR PREDICTION CLUSTER WORKLOAD

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