Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
Energy Driven Application SelfAdaptation
VLSID '07 Proceedings of the 20th International Conference on VLSI Design held jointly with 6th International Conference: Embedded Systems
Guide to Advanced Empirical Software Engineering
Guide to Advanced Empirical Software Engineering
Energy consumption in mobile phones: a measurement study and implications for network applications
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture
ICMB-GMR '10 Proceedings of the 2010 Ninth International Conference on Mobile Business / 2010 Ninth Global Mobility Roundtable
Fine-grained power modeling for smartphones using system call tracing
Proceedings of the sixth conference on Computer systems
Profiling resource usage for mobile applications: a cross-layer approach
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Profiling power consumption on desktop computer systems
ICT-GLOW'11 Proceedings of the First international conference on Information and communication on technology for the fight against global warming
Bootstrapping energy debugging on smartphones: a first look at energy bugs in mobile devices
Proceedings of the 10th ACM Workshop on Hot Topics in Networks
USENIX ATC'12 Proceedings of the 2012 USENIX conference on Annual Technical Conference
Mobile Application and Device Power Usage Measurements
SERE '12 Proceedings of the 2012 IEEE Sixth International Conference on Software Security and Reliability
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The increasing proliferation of mobile handsets, and the migration of the information access paradigm to mobile platforms, leads researchers to study the energy consumption of this class of devices. The literature still lacks metrics and tools that allow software developers to easily measure and optimize the energy efficiency of their code. Energy efficiency can definitely improve user experience increasing battery life. This paper aims to describe a technique to adapt the execution of a mobile application, based on the actual energy consumption of the device, without using external equipment.