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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Forecasting Cloud Storage Consumption Using Regression Model

Forecasting Cloud Storage Consumption Using Regression Model

Ziraba, Abdallah
David, Mbata

Paperback

Business GeneralProgramming

ISBN10: 3668660409
ISBN13: 9783668660403
Publisher: Grin Verlag
Published: Mar 14 2018
Pages: 20
Weight: 0.12
Height: 0.04 Width: 7.00 Depth: 10.00
Language: English
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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