Resource containers: a new facility for resource management in server systems
OSDI '99 Proceedings of the third symposium on Operating systems design and implementation
Energy-aware adaptation for mobile applications
Proceedings of the seventeenth ACM symposium on Operating systems principles
ECOSystem: managing energy as a first class operating system resource
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
An Architecture for the Effective Support of Adaptive Context-Aware Applications
MDM '01 Proceedings of the Second International Conference on Mobile Data Management
PowerScope: A Tool for Profiling the Energy Usage of Mobile Applications
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Context-for-wireless: context-sensitive energy-efficient wireless data transfer
Proceedings of the 5th international conference on Mobile systems, applications and services
Context-aware Battery Management for Mobile Phones
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Apprehending joule thieves with cinder
Proceedings of the 1st ACM workshop on Networking, systems, and applications for mobile handhelds
Energy consumption in mobile phones: a measurement study and implications for network applications
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Users and batteries: interactions and adaptive energy management in mobile systems
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Improving energy efficiency of location sensing on smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
Quanto: tracking energy in networked embedded systems
OSDI'08 Proceedings of the 8th USENIX conference on Operating systems design and implementation
ErdOS: achieving energy savings in mobile OS
MobiArch '11 Proceedings of the sixth international workshop on MobiArch
Self-constructive high-rate system energy modeling for battery-powered mobile systems
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Enabling opportunistic resources sharing on mobile operating systems: benefits and challenges
S3 '11 Proceedings of the 3rd ACM workshop on Wireless of the students, by the students, for the students
A Survey of Green Mobile Networks: Opportunities and Challenges
Mobile Networks and Applications
An empirical energy model for secure Web browsing over mobile devices
Security and Communication Networks
Application modes: a narrow interface for end-user power management in mobile devices
Proceedings of the 14th Workshop on Mobile Computing Systems and Applications
MPower: gain back your android battery life!
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
E3: energy-efficient engine for frame rate adaptation on smartphones
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
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Despite the advances in battery technologies, mobile phones still suffer from severe energy limitations. Modern handsets are rich devices that can support multitasking thanks to their high processing power and provide a wide range of resources such as sensors and network interfaces with different energy demands. There have been multiple attempts to characterise those energy demands; both to save or to allocate energy to the applications on the handset. However, there is still little understanding on how the interdependencies between resources (interdependencies caused by the applications and users' behaviour) affect the battery life. In this paper, we demonstrate the necessity of considering all those dynamics in order to characterise the energy demands of the system accurately. These results indicate that simple algorithmic and rule-based scheduling techniques [7] are not the most appropriate way of managing the resources since their usage can be affected by contextual factors, making necessary to find customised solutions that consider each user's behaviour and handset features.