Sanabria, P., Benedetto, J.I., Neyem, A., Navon, J., Poellabauer, C.: Code Offloading Solutions for Audio Processing in Mobile Healthcare Applications: A Case Study. ACM/IEEE International Conference on Software Engineering (ICSE), Mobile Software Engineering and Systems Track, Gothenburg, Sweden, 2018. (2018)

Code Offloading Solutions for Audio Processing in Mobile Healthcare Applications: A Case Study

Revista : ACM/IEEE International Conference on Software Engineering (ICSE), Mobile Software Engineering and Sy
Tipo de publicación : Conferencia No DCC

Abstract

In this paper, we present a real-life case study of a mobile healthcare application that leverages code offloading techniques to accelerate the execution of a complex deep neural network algorithm for analyzing audio samples. Resource-intensive machine learning tasks take a significant time to complete on high-end devices, while lowerend devices may outright crash when attempting to run them. In our experiments, offloading granted the former a 3.6x performance improvement, and up to 80% reduction in energy consumption; while the latter gained the capability of running a process they originally could not.