Power management of personal computers based on user behaviour

Brian Setz, Faris Nizamic, Alexander Lazovik, Marco Aiello

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

4 Citations (Scopus)

Abstract

It has been shown that up to 64 percent of personal computers in office buildings are left running during afterhours. Enabling power management options such as sleep mode is a straightforward method to reduce the energy consumption of computers. However, choosing the right timeout can be challenging. A sleep timeout which is too low leads to discomfort, whereas a timeout which is too high results in poor energy saving efficiency. Having the users choose their own sleep timeout is not viable as research shows that most users disable the sleep timeout completely, or choose a suboptimal timeout. Unlike existing context based power management systems which use predefined rules, we propose a solution which can determine a personalized sleep timeout for any point in time solely based on the users behaviour. We propose multiple models which have the goal of maximizing the energy savings while minimizing discomfort. The models are tested on the computers of employees of the University of Groningen over several weeks. We analyse the results of the experiments and determine which model performs best. We can potentially save between 4.02 and 17.17 kWh per computer per year, depending on the model that used.

Original languageEnglish
Title of host publicationSMARTGREENS 2016
Subtitle of host publicationProceedings of the 5th International Conference on Smart Cities and Green ICT Systems
EditorsCornel Klein, Brian Donnellan, Markus Helfert
Place of PublicationSetúbal, Portugal
PublisherSciTePress
Pages409-416
Number of pages8
ISBN (Electronic)9789897581847
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event5th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2016 - Rome, Italy
Duration: 23 Apr 201625 Apr 2016

Other

Other5th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2016
CountryItaly
CityRome
Period23/04/1625/04/16

Keywords

  • Context aware power management
  • Energy efficiency
  • Green computing
  • Timeout optimization

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