The Impact of Source Code in Software on Power Consumption

Hayri Acar (1, 2) , Gülfem I Alptekin (3) , Jean-Patrick Gelas (4, 5) , Parisa Ghodous (1, 6, 2)

1 SOC - Service Oriented Computing
2 INL - Institut des Nanotechnologies de Lyon
3 Department of Computer Engineering
4 LIP - Laboratoire de l'Informatique du Parallélisme
5 AVALON - Algorithms and Software Architectures for Distributed and HPC Platforms
6 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information

Writing sustainable, power efficient and green software necessitates understanding the power consumption behavior of a computer program. One of the benefits is the fact that developers, by improving their source code implementations, can optimize power consumption of a software. Existing power consumption models need to be improved by taking into account more components susceptible to consume energy during runtime of an application. In this paper, we first present a detailed classification of previous works on power consumption modelization. Then, we introduce TEEC (Tool to Estimate Energy Consumption) model in order to estimate the power consumed by CPU, memory and disk due to the execution of an application at runtime. The main goal is to guide developers to improve their source code for optimizing energy consumption. TEEC enables determining the part of the code consuming the highest power. This will help to obtain a less energy consuming software with the same functionalities.

Mots clés: Sustainable Software; Green IT; Energy Efficiency; Green Software; Power Consumption

Domaines: Informatique [cs]; Informatique et langage [cs.CL]

Hayri Acar, Gülfem I Alptekin, Jean-Patrick Gelas, Parisa Ghodous. The Impact of Source Code in Software on Power Consumption. International Journal of Electronic Business Management, 2016, 14, pp.42-52. ⟨hal-01496266⟩