Energy-aware adaptation for mobile applications
Proceedings of the seventeenth ACM symposium on Operating systems principles
System-level power optimization: techniques and tools
ACM Transactions on Design Automation of Electronic Systems (TODAES)
End-to-end arguments in system design
ACM Transactions on Computer Systems (TOCS)
Online prediction of the running time of tasks
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Proceedings of the 40th annual Design Automation Conference
Graphical user interface energy characterization for handheld computers
Proceedings of the 2003 international conference on Compilers, architecture and synthesis for embedded systems
Ghosts in the machine: interfaces for better power management
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Cooperative I/O: a novel I/O semantics for energy-aware applications
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Energy reduction by workload adaptation in a multi-process environment
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Online power-performance adaptation of multithreaded programs using hardware event-based prediction
Proceedings of the 20th annual international conference on Supercomputing
| Hi-index | 0.00 |
System-level power management has been studied extensively. For further energy reduction, the collaboration from user applications becomes critical. This paper presents a programming environment to ease the construction of energy-aware applications. We observe that energy-aware programs may identify different ways (called options) to achieve the desired functionalities and choose the most energy-efficient option at runtime. Our framework provides a programming interface to obtain the estimated energy consumption for choosing a particular option. The energy is estimated based on runtime energy characterization that records a set of runtime conditions correlated with the energy consumption of the options. We provide the procedure and general guidelines for using the environment to construct energy-aware programs. The prototype demonstrates that (a) energy-aware applications can be programmed easily with our interface, (b) accurate estimates are achieved by integrating multiple runtime conditions, and (c) the framework can make multiple devices collaborate for significant energy savings (15% to 41%) with negligible time and energy overhead (