A system-call based model of software energy consumption without hardware instrumentation

• Author(s) / Creator(s)

  • Chowdhury, S.A.
  • Kumar, L.N.
  • Imam, M.T.
  • Jabbar, M.S.
  • Sapra, V.
  • Aggarwal, K.
  • Hindle, Abram
  • Greiner, R.

• The first challenge to develop an energy efficient application is to measure the application's energy consumption, which requires sophisticated hardware infrastructure and significant amounts of developers' time. Models and tools that estimate software energy consumption can save developers time, as application profiling is much easier and more widely available than hardware instrumentation for measuring software energy consumption. Our work focuses on modelling software energy consumption by using system calls and machine learning techniques. This system call based model is validated against actual energy measurements from five different Android applications. These results demonstrate that system call counts can successfully model software energy consumption if the idle energy consumption of an application is estimated or known. In the absence of any knowledge of an application's idle energy consumption, our system call based approach is still useful to compare the energy consumption among different versions of the same application.

• Date created

  2015

• Subjects / Keywords

  • system-call based model
  • software energy consumption
  • hardware instrumentation
  • application profiling
  • machine learning techniques
  • energy measurement
  • Android applications

• Type of Item

  Conference/Workshop Presentation

• DOI

  https://doi.org/10.7939/r3-836q-7189

• License

  Attribution 4.0 International