Towards Native Code Offloading Platforms for Image Processing in Mobile Applications: A Case Study

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Date
2017
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Publisher
IEEE
Abstract
In this paper, we present a real-life case study to show the advantages of a new code offloading solution focused on improving both performance and energy consumption for image processing mobile applications. From our experiments, we found that offloading an image processing task would allow up to 5.7x speedup and 85% of reduction in energy consumption for low-end devices, and 1.7x speedup and 64.3% of reduction in energy consumption for high-end devices.
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Keywords
Mobile communication, Energy consumption, Androids, Humanoid robots, Image processing, Cloud computing, Performance evaluation
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https://doi.org/10.1109/MOBILESoft.2017.27
 https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7972815
 https://repositorio.uc.cl/handle/11534/63771
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