Artículo
Motrol: A hardware-software device for batch benchmarking and profiling of in-lab mobile device clusters
Toloza, Juan Manuel
; Hirsch Jofré, Matías Eberardo
; Mateos Diaz, Cristian Maximiliano
; Zunino Suarez, Alejandro Octavio
Fecha de publicación:
10/2022
Editorial:
Elsevier
Revista:
HardwareX
e-ISSN:
2468-0672
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Motrol is a simple device that satisfies functional requirements necessary for the automatic execution of battery-driven tests and profiling of connected mobile devices. It is specifically a hardware/software platform that allows Dew Computing researchers and developers to automate performance tests on Android-based smartphones. The hardware is based on a NodeMCU Esp8266 microcontroller that runs a firmware for managing the outputs. This software allows enabling/disabling the relays that connect the sockets that power the chargers of up to 4 mobile devices minimizing the need for human intervention. The firmware runs a web server that serves Rest requests from a Rest client with the commands to drive the digital outputs. These digital outputs activate or deactivate the relays to allow current to pass or not to the sockets. Such capability is essential to automate the study of battery behavior on battery-driven devices such as smartphones. Motrol is easy to assemble, knowledge in electronics or programming languages is not necessary, it is constructed with open hardware, and it is cheap, being its total cost ∼USD 30.
Palabras clave:
ANDROID
,
BENCHMARKING
,
DEW COMPUTING
,
NODEMCU
,
SMARTPHONES
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(ISISTAN)
Articulos de INSTITUTO SUPERIOR DE INGENIERIA DEL SOFTWARE
Articulos de INSTITUTO SUPERIOR DE INGENIERIA DEL SOFTWARE
Citación
Toloza, Juan Manuel; Hirsch Jofré, Matías Eberardo; Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Motrol: A hardware-software device for batch benchmarking and profiling of in-lab mobile device clusters; Elsevier; HardwareX; 12; 10-2022; 1-13
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