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Estimating energy consumption of web pages mith machine learning

Florjan Bartol (2014) Estimating energy consumption of web pages mith machine learning. EngD thesis.

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    Verify the hypothesis that it is feasible to predict web page's energy consumption based on their structural properties by utilizing machine learning methods. For this purpose develop an automated measuring system for measuring electric current and voltage on the mobile phone while web pages are loading. Use the system for collecting data on energy consumption for a set of popular web pages and combine the measurements with pages' structural properties into a learning set. On the acquired dataset experiment with various machine learning methods and qualitatively and quantitatively asses the results.

    Item Type: Thesis (EngD thesis)
    Keywords: Consumption measurement, automatic data collection, mobile web pages, machine learning methods
    Number of Pages: 82
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    doc. dr. Matjaž Kukar267Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=00010716244)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 2583
    Date Deposited: 18 Jun 2014 14:23
    Last Modified: 13 Aug 2014 11:07
    URI: http://eprints.fri.uni-lj.si/id/eprint/2583

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