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

Simple item page
dc.contributor.authorSanabria Quispe, Pablo
dc.contributor.authorBenedetto Causa, José Ignacio
dc.contributor.authorNeyem, Andrés
dc.contributor.authorNavón Cohen, Jaime
dc.contributor.authorPoellabauer, C.
dc.date.accessioned2022-05-11T20:05:46Z
dc.date.available2022-05-11T20:05:46Z
dc.date.issued2018
dc.description.abstractIn 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 lower-end 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.
dc.fuente.origenIEEE
dc.identifier.isbn978-1450357128
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8543445
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63776
dc.information.autorucEscuela de ingeniería ; Sanabria, Pablo ; S/I ; 212656
dc.information.autorucEscuela de ingeniería ; Benedetto Causa, José Ignacio ; S/I ; 179213
dc.information.autorucEscuela de ingeniería ; Neyem, Andrés ; S/I ; 1007638
dc.information.autorucEscuela de ingeniería ; Navón Cohen, Jaime ; S/I ; 100018
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherIEEE
dc.relation.ispartofIEEE/ACM International Conference on Mobile Software Engineering and Systems (5° : 2018 : Gotenburgo, Suecia)
dc.rightsacceso restringido
dc.subjectLoad modeling
dc.subjectMobile handsets
dc.subjectNeural networks
dc.subjectMemory management
dc.subjectOptimization
dc.subjectTask analysis
dc.subjectPerformance evaluation
dc.titleCode Offloading Solutions for Audio Processing in Mobile Healthcare Applications: A Case Studyes_ES
dc.typecomunicación de congreso
sipa.codpersvinculados212656
sipa.codpersvinculados179213
sipa.codpersvinculados1007638
sipa.codpersvinculados100018
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Code Offloading Solutions for Audio Processing in Mobile Healthcare Applications - A Case Study.pdf
Size:
2.57 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Artículos de conferencia