TY - GEN
T1 - Application-aware scaling governor for wearable devices
AU - Kim, Jae Min
AU - Kim, Minyong
AU - Chung, Sung Woo
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/10
Y1 - 2014/11/10
N2 - Application characteristics include useful information that enhances power management techniques; for instance, a QoS-sensitive application does not need to be run any faster, as long as its QoS is preserved. In recently emerged wearable devices, power management techniques can easily utilize the characteristics, since the number of applications is limited and almost all applications are downloaded from one single application market. In this paper, we analyze the power savings by application-aware scaling governor that manages dynamic voltage frequency scaling (DVFS). Our real measurement results show that the application-aware scaling governor reduces system-wide energy consumption (12% on average) and enhances the performance (10% on average), compared to the conventional scaling governors in case of performance-sensitive applications. In addition, the application-aware scaling governor saves power (10% on average) without any noticeable QoS degradation in case of QoS-sensitive applications.
AB - Application characteristics include useful information that enhances power management techniques; for instance, a QoS-sensitive application does not need to be run any faster, as long as its QoS is preserved. In recently emerged wearable devices, power management techniques can easily utilize the characteristics, since the number of applications is limited and almost all applications are downloaded from one single application market. In this paper, we analyze the power savings by application-aware scaling governor that manages dynamic voltage frequency scaling (DVFS). Our real measurement results show that the application-aware scaling governor reduces system-wide energy consumption (12% on average) and enhances the performance (10% on average), compared to the conventional scaling governors in case of performance-sensitive applications. In addition, the application-aware scaling governor saves power (10% on average) without any noticeable QoS degradation in case of QoS-sensitive applications.
KW - DVFS
KW - Power Management
KW - Wearable Devices
UR - http://www.scopus.com/inward/record.url?scp=84916918844&partnerID=8YFLogxK
U2 - 10.1109/PATMOS.2014.6951876
DO - 10.1109/PATMOS.2014.6951876
M3 - Conference contribution
AN - SCOPUS:84916918844
T3 - 2014 24th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS 2014
BT - 2014 24th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 24th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS 2014
Y2 - 29 September 2014 through 1 October 2014
ER -