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Exploring Potential and Feasibility of Binary Code Sharing in Mobile Computing
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DOI：10.1109/TCC.2019.2932386.png)
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While tremendous growing mobile apps offer users rich services and functionalities, they also bring significant performance and energy issues. Code sharing is promising to address these issues, but existing application-level code sharing is rather restrictive. This paper develops the a transparent machine code sharing for mobile devices, and presents its design, implementation, and deployment. SnapCode enables machine code sharing across a wide variety of commercial off-the-shelf Android devices. By sharing and running machine code, SnapCode can offer significant speed-ups: an average speed-up of 9.9X for one-time trial apps, and up to 120X in apps' regular uses. In addition, it can save more than 80 percent energy consumption.
Keyword:
Mobile computing
binary code sharing
system performance
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