GreenHub Farmer: Real-world data for android energy mining

Hugo Matalonga, Bruno Cabral, Fernando Castor, Marco Couto, Rui Pereira, Simao Melo De Sousa, Joao Paulo Fernandes

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


As mobile devices are supporting more and more of our daily activities, it is vital to widen their battery up-time as much as possible. In fact, according to the Wall Street Journal, 9/10 users suffer from low battery anxiety. The goal of our work is to understand how Android usage, apps, operating systems, hardware and user habits influence battery lifespan. Our strategy is to collect anonymous raw data from devices all over the world, through a mobile app, build and analyze a large-scale dataset containing real-world, day-to-day data, representative of user practices. So far, the dataset we collected includes 12 million+ (anonymous) data samples, across 900+ device brands and 5.000+ models. And, it keeps growing. The data we collect, which is publicly available and by different channels, is sufficiently heterogeneous for supporting studies with a wide range of focuses and research goals, thus opening the opportunity to inform and reshape user habits, and even influence the development of both hardware and software for mobile devices.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 IEEE/ACM 16th International Conference on Mining Software Repositories, MSR 2019
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781728134123
StatePublished - May 2019
Event16th IEEE/ACM International Conference on Mining Software Repositories, MSR 2019 - Montreal, Canada
Duration: May 26 2019May 27 2019

Publication series

NameIEEE International Working Conference on Mining Software Repositories
ISSN (Print)2160-1852
ISSN (Electronic)2160-1860


Conference16th IEEE/ACM International Conference on Mining Software Repositories, MSR 2019


  • Android
  • Data mining
  • Energy efficiency
  • Green software

ASJC Scopus subject areas

  • Computer Science Applications
  • Software


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