THE IMPACT OF SOURCE CODE IN SOFTWARE ON POWER CONSUMPTION

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 consu...

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Bibliographic Details
Published in:International journal of electronic business management 2016-01, Vol.14, p.42-52
Main Authors: Acar, Hayri, Alptekin, Gülfem I, Gelas, Jean-Patrick, Ghodous, Parisa
Format: Article
Language:English
Subjects:
Architectural engineering
Automation
Cloud computing
Computation and Language
Computer Science
Computers
Emissions
Energy consumption
Greenhouse gases
Methods
Software
Software engineering
Systematic review
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Summary: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.
ISSN:1728-2047
1728-2047