TY - GEN
T1 - Signal strength-aware adaptive offloading for energy efficient mobile devices
AU - Kim, Young Geun
AU - Chung, Sung Woo
N1 - Funding Information:
As a future work, we plan to enhance the proposed technique by adopting pre-optimization algorithms for computational applications (e.g. face cropping algorithm for the face recognition application) in mobile devices, considering computation capability of mobile devices as well as the server; it may reduce computation burdens on the server. Since this is the first to show potential of signal strength-aware adaptive offloading, we believe our work can be a good starting point to trigger many interesting discussion on signal strength-aware offloading for energy efficient mobile devices. ACKNOWLEDGMENT Sung Woo Chung is the corresponding author of this paper. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2015R1A2A1A15055435 and No. 2014R1A2A1A11054390) and Samsung Electronics. We would also like to thank anonymous reviewers for their helpful feedback. REFERENCES
PY - 2017/8/11
Y1 - 2017/8/11
N2 - To prolong battery life of mobile devices, applications often exploit offloading techniques which run computations on remote servers. Unfortunately, the existing offloading techniques do not consider the fact that data transmission time and energy consumption of wireless network interfaces exponentially increase when signal strength decreases. In this paper, we propose an adaptive offloading technique that considers signal strength. Our technique estimates gain (reduced computation time and energy of mobile devices) and loss (increased data transmission time and energy of network interfaces) of offloading depending on signal strength. Based on the estimated gain and loss, our technique determines whether it offloads computations to a server or not. In evaluation, our proposed technique improves performance by 30.1% and saves system-wide energy consumption by 25.0%, on average, compared to the conventional offloading technique that does not consider signal strength.
AB - To prolong battery life of mobile devices, applications often exploit offloading techniques which run computations on remote servers. Unfortunately, the existing offloading techniques do not consider the fact that data transmission time and energy consumption of wireless network interfaces exponentially increase when signal strength decreases. In this paper, we propose an adaptive offloading technique that considers signal strength. Our technique estimates gain (reduced computation time and energy of mobile devices) and loss (increased data transmission time and energy of network interfaces) of offloading depending on signal strength. Based on the estimated gain and loss, our technique determines whether it offloads computations to a server or not. In evaluation, our proposed technique improves performance by 30.1% and saves system-wide energy consumption by 25.0%, on average, compared to the conventional offloading technique that does not consider signal strength.
KW - Offloading
KW - energy management
KW - mobile device
KW - wireless signal strength
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U2 - 10.1109/ISLPED.2017.8009182
DO - 10.1109/ISLPED.2017.8009182
M3 - Conference contribution
AN - SCOPUS:85028608148
T3 - Proceedings of the International Symposium on Low Power Electronics and Design
BT - ISLPED 2017 - IEEE/ACM International Symposium on Low Power Electronics and Design
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2017
Y2 - 24 July 2017 through 26 July 2017
ER -
