Forecasting Cloud Storage Consumption Using Regression Model

Name: Forecasting Cloud Storage Consumption Using Regression Model
Brand: Grin Publishing
SKU: 9783668660403
Price: 318 CZK
Availability: InStock

Autor: Abdallah Ziraba, Mbata David

Jazyk:

Vazba: Brožovaná

Vydavatel: Grin Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 8-11 dnů

318 Kč

Scientific Study from the year 2017 in the subject Computer Science - Commercial Information Technol...

Informace o knize

Autor

Abdallah Ziraba, Mbata David

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2018

Stránek

EAN

9783668660403

ISBN

3668660409

Enbook ID

19129653

Vydavatel

Grin Publishing

Hmotnost

Rozměry

148 x 210 x 1

Kompletní popis

Scientific Study from the year 2017 in the subject Computer Science - Commercial Information Technology, grade: A, , language: English, abstract: The primary aim of the study was to develop a regression model for forecasting monthly cloud storage consumption. Second, to ascertain if the month is a reliable predictor of cloud storage capacity consumed. The model was developed using Minitab18 statistical software. The dependent variable was cloud storage capacity consumed, while the independent variable was the month of cloud storage consumption. The model was validated by checking the assumptions of regression to establish its suitability in making future predictions. Twelve-month data sets was analyzed to make future prediction for each passing month. The model made predictions with near accuracy from the actual cloud storage data consumed in each month. The model determines the intervals of monthly storage consumption. The study concluded that the month is a globally significant linear predictor of cloud storage capacity consumed over a period.

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Forecasting Cloud Storage Consumption Using Regression Model

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