Dynamic battery state aware approaches for improving battery utilization
S Park, MB Srivastava - … of the 2002 international conference on …, 2002 - dl.acm.org
S Park, MB Srivastava
Proceedings of the 2002 international conference on Compilers, architecture …, 2002•dl.acm.orgIn this paper we introduce novel battery state aware strategies that improve the performance
of battery operated systems. In our analysis, we consider the total amount of work done (or
service) as the metric instead of considering just the lifetime. Based on our analysis using
service curves, we formulate our static approach which generalizes many of the battery
aware approaches introduced in the literatures. The results show that the static approach
increases the battery utilization by 600% over a non battery aware approach. Furthermore …
of battery operated systems. In our analysis, we consider the total amount of work done (or
service) as the metric instead of considering just the lifetime. Based on our analysis using
service curves, we formulate our static approach which generalizes many of the battery
aware approaches introduced in the literatures. The results show that the static approach
increases the battery utilization by 600% over a non battery aware approach. Furthermore …
In this paper we introduce novel battery state aware strategies that improve the performance of battery operated systems. In our analysis, we consider the total amount of work done (or service) as the metric instead of considering just the lifetime. Based on our analysis using service curves, we formulate our static approach which generalizes many of the battery aware approaches introduced in the literatures. The results show that the static approach increases the battery utilization by 600% over a non battery aware approach. Furthermore, we show that our dynamic battery state aware approach improves upon the static approach by dynamically adapting the system performance level based on batteryes voltage slope. The results indicate that the dynamic approach achieves improvement of up to 20% over the static approach.
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