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Model-based Energy Consumption Prediction for Mobile Application

Authors
Willnecker, Felix (fortiss GmbH)
Search for Felix Willnecker in Research Programmes Information System
Brunnert, Andreas (fortiss GmbH)
Search for Andreas Brunnert in Research Programmes Information System
Krcmar, Helmut (Technische Universität München)
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Chapter Workshop Energy Aware Software Development
Volume Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
Conference EnviroInfo 2014 - ICT for Energy Effieciency
Oldenburg, 2014
Year 2014
Abstract of the Article
Investigating the energy consumption of mobile applications (apps) is becoming a growing
software engineering challenge due to the limited battery lifetime of mobile devices. Energy
consumption is defined as the power demand integrated over time. Profiling the power demand of
an app is a time consuming activity and the results are only valid for the target hardware used
during the measurements. The energy consumption is influenced by the resource demands of an
app, the hardware on which the app is running, and its workload. This work adapts resource
profiles for enterprise applications to predict the energy consumption of mobile apps without the
need to own a physical device. Resource profiles are models that represent all aspects influencing
the energy consumption of an app. They can be used to predict the energy consumption for
different hardware devices and evaluate the overall efficiency of an app. Moreover, the workload
can be changed so that the impact of different usage patterns can be investigated. These
capabilities lay the foundation for a platform-independent way of quantifying the energy
consumption of mobile apps
Pages 747 - 752
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