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An Empirical Evaluation of Database Software Features on Energy Consumption

19 pagesPublished: May 10, 2018

Abstract

Although software does not consume energy by itself, its characteristics determine which hardware resources are made available and how much energy is used. Therefore, energy efficiency of software products has become a popular agenda for both industry and academia in recent years. Designing such software is now a core initiative of software development companies aiming toward social responsibility. Meanwhile, however, devel- oping environmentally sustainable software products is a challenge in that performance, functionality and energy consumption can reflect conflicting goals. In this paper, our ob- jective is to analyze the effects of different features on energy consumption of the IBM DB2, a commonly used database product. The empirical work focuses on three features. We executed a workload in preconfigured software with some features enabled or disabled and with different numbers of users. To compare the different scenarios, three sets of green metrics were utilized. The metric set identified various parts of the software system where energy is consumed. Our findings may suggest that the conflicts among software system performance, functionality, and energy consumption can be mitigated by choosing a combination of features that interact in a way that improves energy efficiency. Index Terms energy consumption, green metrics, energy efficiency, environmental sustainability, software feature interaction, database.

Keyphrases: database, energy consumption, energy efficiency, Environmental Sustainability, Green Metrics, software feature interaction

In: Birgit Penzenstadler, Steve Easterbrook, Colin Venters and Syed Ishtiaque Ahmed (editors). ICT4S2018. 5th International Conference on Information and Communication Technology for Sustainability, vol 52, pages 1--19

Links:
BibTeX entry
@inproceedings{ICT4S2018:An_Empirical_Evaluation_of,
  author    = {Sedef Akinli Kocak and G\textbackslash{}"ulfem Isiklar Alptekin and Andriy Miranskyy and Ayse Bener and Enzo Cialini},
  title     = {An Empirical Evaluation of Database Software Features on Energy Consumption},
  booktitle = {ICT4S2018. 5th International Conference on Information and Communication Technology for Sustainability},
  editor    = {Birgit Penzenstadler and Steve Easterbrook and Colin Venters and Syed Ishtiaque Ahmed},
  series    = {EPiC Series in Computing},
  volume    = {52},
  pages     = {1--19},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {https://easychair.org/publications/paper/Zdzr},
  doi       = {10.29007/9plt}}
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