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dc.contributor.author
Hirsch Jofré, Matías Eberardo
dc.contributor.author
Mateos Diaz, Cristian Maximiliano
dc.contributor.author
Zunino Suarez, Alejandro Octavio
dc.contributor.author
Toloza, Juan Manuel
dc.date.available
2022-10-31T14:28:51Z
dc.date.issued
2021-05
dc.identifier.citation
Hirsch Jofré, Matías Eberardo; Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Toloza, Juan Manuel; A platform for automating battery-driven batch benchmarking and profiling of Android-based mobile devices; Elsevier Science; Simulation Modelling Practice and Theory; 109; 5-2021; 1-22
dc.identifier.issn
1569-190X
dc.identifier.uri
http://hdl.handle.net/11336/175590
dc.description.abstract
In-laboratory mobile device data gathering is useful to support fields of study that rely on data derived from mobile devices as elementary research input. Particularly, Dew Computing, a sub-area of mobile distributed computing, aims at scavenging idle computing resources from mobile devices at the edge. To produce repeatable experiments for developed Dew approaches, simulation of relevant mobile device aspects is an acceptable practice, being battery behavior one of such aspects. Our recently-proposed DewSim simulation toolkit uses a trace-based approach to model battery behavior realistically. However, to generically characterize the impact of different device components – e.g., CPU at different usages – on battery behavior, it is necessary to easily capture battery traces, and run benchmarks to quantify computing capabilities. Considering that traces are captured during long charging or discharging cycles, such data gathering duty is tedious and time-consuming and no tool has been proposed yet to automate it. To fill this gap, we propose a platform that leverages common IoT hardware to control battery state of devices subject to pre-configured profiling/benchmarking plans. The platform has a server-side component to manage benchmark/profiling executions using one out of two possible operation modes (exclusive or shared), and an extensible Android application that implements the benchmark and profiling logic to be run on devices. We conclude that the operation modes represent a clear trade-off between benchmark/profile execution time and IoT hardware cost. From validation experiments, we also conclude that using our platform to run a benchmark does not introduce a considerable performance and energy footprint compared to running the same benchmark as a plain Android application.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ANDROID
dc.subject
BATTERY TRACES
dc.subject
BENCHMARKING
dc.subject
DEW COMPUTING
dc.subject
DEWSIM
dc.subject
MOBILE DEVICES
dc.subject
PROFILING
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
A platform for automating battery-driven batch benchmarking and profiling of Android-based mobile devices
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-19T15:45:25Z
dc.journal.volume
109
dc.journal.pagination
1-22
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Hirsch Jofré, Matías Eberardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.description.fil
Fil: Mateos Diaz, Cristian Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.description.fil
Fil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.description.fil
Fil: Toloza, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.journal.title
Simulation Modelling Practice and Theory
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S1569190X20301933
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.simpat.2020.102266
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