The impact of battery capacity and memory bandwidth on CPU speed-setting: a case study
ISLPED '99 Proceedings of the 1999 international symposium on Low power electronics and design
Scheduling for reduced CPU energy
OSDI '94 Proceedings of the 1st USENIX conference on Operating Systems Design and Implementation
A Framework for Energy and Transient Power Reduction during Behavioral Synthesis
VLSID '03 Proceedings of the 16th International Conference on VLSI Design
A case study of a system-level approach to power-aware computing
ACM Transactions on Embedded Computing Systems (TECS)
A framework for energy and transient power reduction during behavioral synthesis
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Power reduction by varying sampling rate
ISLPED '05 Proceedings of the 2005 international symposium on Low power electronics and design
Leveraging smart phones to reduce mobility footprints
Proceedings of the 7th international conference on Mobile systems, applications, and services
EUC'07 Proceedings of the 2007 conference on Emerging direction in embedded and ubiquitous computing
Proceedings of the 39th annual ACM SIGUCCS conference on User services
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This paper describes non-ideal properties of batteries and how these properties may impact power-performance trade-offs in wearable computing. The first part of the paper details the characteristics of an ideal battery and how these characteristics are used in sizing batteries and estimating discharge times. Typical non-ideal characteristics and the regions of operation where they occur are described. The paper then covers results from a first-principles, variable-load battery model, showing likely areas for exploiting battery behavior in mobile computing. The major result is that when battery behavior is non-ideal, lowering the average power or the energy per operation may not increase the amount of computation that can be completed in a battery life.