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Automated Offloading of Android Applications for Computation/Energy-usage Optimizations

Abstract

Our work presents a methodology and a tool to optimize Android applications using mobile computation offloading techniques. Our demo provides a study about the compatibility of being offloaded of Android methods and a methodology to autonomously classify Android methods based on their functions.
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Dates and versions

hal-01672752 , version 1 (27-12-2017)

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Alessandro Zanni, Se-Young Yu, Stefano Secci, Rami Langar, Paolo Bellavista, et al.. Automated Offloading of Android Applications for Computation/Energy-usage Optimizations. 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), May 2017, Atlanta, GA, United States. pp.990-991, ⟨10.1109/INFCOMW.2017.8116525⟩. ⟨hal-01672752⟩
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