When using mobile cloud computing, it is crucial to predict the power consumption of the mobile device since the mobile device should decide whether to proceed with cloud computing by considering energy gain. However, there is a lack of research that can help to easily predict the energy consumption due to signal-to-noise ratio (SNR) change of mobile devices for cloud computing. In this paper, the minimum SNR requirement for cloud computing will be presented in a closed-form by using Amdahl's law and Shannon-Hartley theorem. The minimum SNR requirement will be derived with respect to energy and time.
|Title of host publication||2019 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2019|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||2|
|Publication status||Published - 2019 Jun|
|Event||4th IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2019 - Bangkok, Thailand|
Duration: 2019 Jun 12 → 2019 Jun 14
|Name||2019 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2019|
|Conference||4th IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2019|
|Period||19/6/12 → 19/6/14|
Bibliographical noteFunding Information:
ACKNOWLEDGEMENT This research was supported by the Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00282, The Development of Adaptive Network Technology with Multi-Media Multi-Path).
© 2019 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Media Technology