Easily implementable time series forecasting techniques for resource provisioning in cloud computing
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Abstract
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DOI: 10.1109/codit.2019.8820396
Note: View the original document on HAL open archive server: https://polytechnique.hal.science/hal-02024835v3
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References listed on IDEAS
- Hassane Abouaïssa & Michel Fliess & Cédric Join, 2016. "On short-term traffic flow forecasting and its reliability," Post-Print hal-01275311, HAL.
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Keywords
Cloud computing; computing resources; virtual machines; forecasting; time series; nonstandard analysis; trend; quick fluctuation; machine learning; estimation; seasonality;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2019-03-11 (Computational Economics)
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