Forecasting network requests numbers to cloud application
Journal Title: Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì - Year 2015, Vol 814, Issue
Abstract
The article contains analysis of existing time series forecast methods. It is estimated how these methods fit to time series of network requests to a cloud application. Optimal forecasting methods have been chosen for different working modes of a cloud application. The research also contains comparison of forecast performed by standard methods and developed combined method.
Authors and Affiliations
Tamara Savchuk, Andriy Kozachuk
Keywords
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