NDLI: Optimal offloading control for a mobile device based on a realistic battery model and semi-Markov decision process

Content Provider	IEEE Xplore Digital Library
Author	Shuang Chen Yanzhi Wang Pedram, M.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA (Shuang Chen; Yanzhi Wang; Pedram, M.)
Abstract	Due to the limited battery capacity in mobile devices, the concept of mobile cloud computing (MCC) is proposed where some applications are offloaded from the local device to the cloud for higher energy efficiency. The portion of applications or tasks to be offloaded for remote processing should be judiciously determined. In this paper, the problem of optimal task dispatch, transmission, and execution in the MCC system is considered. Dynamic voltage and frequency scaling (DVFS) is applied to the local mobile processor, whereas the RF transmitter of the mobile device can choose from multiple modulation schemes and bit rates. The power consumptions of the mobile components that cannot be directly controlled, e.g., the touch screen, GPU, audio codec, and I/O ports, are also accounted for through capturing their correlation with the mobile processor and RF transmitter. Finally, a realistic and accurate battery model is adopted in this work in order to estimate the battery energy loss rate in a more accurate way. This paper presents a semi-Markov decision process (SMDP)-based optimization framework, with the actions of different DVFS levels and modulation schemes/transimission bit rates and the objective of minimizing both the energy drawn from the battery and the average latency in request servicing. This paper derives the optimal solution, including the optimal DVFS policy, offloading rate, and transmission scheme, using linear programming combined with a heuristic search. Experiments are conducted on Qualcomm Snapdragon Mobile Development Platform MSM8660 to find the correlations among the power consumptions of the CPU, RF components, and other components. Simulation results show that the proposed optimal solution consistently outperforms some baseline algorithms.
Starting Page	369
Ending Page	375
File Size	933113
Page Count	7
File Format	PDF
ISBN	9781479962785
DOI	10.1109/ICCAD.2014.7001378
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Batteries Mobile handsets Power demand Mobile communication Radio frequency Transmitters Frequency modulation
Content Type	Text
Resource Type	Article

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