Methods of rationalization of energy resources during work with operating system

Authors

  • S. M. Golopura National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • B. V. Sinenko National University of Life and Environmental Sciences of Ukraine image/svg+xml

Abstract

Abstract. In our time, computer systems have become an integral part of any highly skilled workflow. They spend kilowatt of electricity on millions of mathematical operations, which, in turn, determine the software functionality and are responsible for the result of any work. The article considers the numerical efficiency and expediency of using the economical operating mode of the "Windows 7 Unlimited" operating system of 64-bit type. Numerical data, on the basis of which the coefficients given in the work were calculated, were obtained with the help of the energy efficiency monitoring software Joulemeter 1.2 (licensed product of the Microsoft software laboratory). The main task of the work is to bring exact percentages of savings on the example of a particular computer and the work package of office software programs Microsoft Office 2010, which includes programs: Microsoft Word, Microsoft Excel and Microsoft PowerPoint – and browsers Google Chrome and Internet Explorer with different performance.
Based on the results of the experiment, the energy efficiency of the system, when using the economic mode was higher by 0.7% than when using a balanced one. And the maximum energy efficiency of 3.7% was achieved by using the energy-saving Internet Explorer browser instead of Google Chrome.
Key words: energy efficiency, rationalization, Windows 7, Microsoft Office 2010, Google Chrome, Internet Explorer.

References

Список літератури

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Berliner, E. M., Glasyrina, I. B., Glazyrin, B. E. Microsoft Windows 7. User Guide. Publishing house "Russian editorial board". SPb. BHV-Petersburg. 2010. 416.

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References

Khankin, K. M. (2012). Estimation of influence of hardware technologies of energy saving of the personal computer on productivity and power consumption. Vestnik SUSU. Series: Computer technologies, management, radio electronics. №23.

Tsvetkov, V. M. (2014). Energy efficiency of mobile devices under the control of the operating system Android. Electrical and information systems and systems. № 2.

Tokar, I. P. (2015). Using the Genetic Algorithm in the Compiler to Optimize the Energy Efficiency of Applications. News SFU. Technical sciences. No 2 (163).

Berliner, E. M., Glasyrina, I. B., Glazyrin, B. E. (2010). Microsoft Windows 7. User Guide. Publishing house "Russian editorial board". SPb. BHV-Petersburg. 416.

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Published

2019-01-25

Issue

Vol. 9 No. 2 (2018)

Section

Статті

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