Augmented Reality (AR) applications are becoming more and more popular, and smart devices are the most common platform for running AR applications, such as online games, travel guides, and personal assistants. However, these types of AR applications are usually interactive applications that require fast response time and an extremely high power consumption. AR applications need to be supported by highly adaptable multi-core processors equipped smart devices where the optimal low-power control technique, should be used. In this paper, the power consumption model of AR application workloads are mathematically modeled, taking into account the dynamic voltage and frequency scaling (DVFS) of the multi-core central processing unit (CPU) and the parallel execution of multi-core CPUs. Based on the proposed model, the optimal core operation frequency and minimized power consumption are derived. Experimental results show that the proposed scheme satisfies the interaction time limit with the lowest energy consumption.
|Title of host publication||2019 IEEE International Conference on Consumer Electronics, ICCE 2019|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2019 Mar 6|
|Event||2019 IEEE International Conference on Consumer Electronics, ICCE 2019 - Las Vegas, United States|
Duration: 2019 Jan 11 → 2019 Jan 13
|Name||2019 IEEE International Conference on Consumer Electronics, ICCE 2019|
|Conference||2019 IEEE International Conference on Consumer Electronics, ICCE 2019|
|Period||19/1/11 → 19/1/13|
Bibliographical noteFunding Information:
This work was supported by the Institute of BioMed-IT, Energy-IT, and Smart-IT Technology (BEST), a Brain Korea 21 plus program, Yonsei University, and was supported by a grant [MOIS-DP-2015-10] through the Disaster and Safety Management Institute funded by Ministry of the Interior and Safety of Korean government.
© 2019 IEEE.
All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering
- Media Technology
- Electrical and Electronic Engineering