Ebserver: Automating Resource-Usage Data Collection of Android Applications
Oliveira, Wellington; Moraes, Bernardo; Castor, Fernando; Fernandes, Joao Paulo
(2023)
Proceedings - 2023 IEEE/ACM 10th International Conference on Mobile Software Engineering and Systems, MOBILESoft 2023, pp. 55 - 59
Proceedings - 2023 IEEE/ACM 10th International Conference on Mobile Software Engineering and Systems, MOBILESoft 2023, pp. 55 - 59
10th IEEE/ACM International Conference on Mobile Software Engineering and Systems, MOBILESoft 2023, pp. 55 - 59
(Part of book)
Abstract
Mobile applications are a typical component of people's routines. Because of that, there is fierce competition for mobile users' attention, creating pressure for mobile developers to optimize their applications in a number of ways, such as making them faster, reducing their energy consumption, or their memory usage. To understand their
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application resource usage, developers need to execute their app, collect data from that execution and analyze how it behaves. Researchers must also go through this process when evaluating optimizations and techniques to reduce resource usage. This error-prone experimentation process can take hours of repetitive work if done manually. In this paper, we present EBSERVER, a general-purpose measurement automation tool to collect Android device data during application executions. EBSERVER is simple to configure and extend, requiring very little instrumentation code to use. It enables users to collect execution metrics on a per-process basis from an application execution automatically. Examples of such metrics include energy consumption, CPU usage, execution time, and memory usage. EBSERVER makes it possible for applications to run multiple times in an automated manner, eliminates the need to predict the time that applications or benchmarks will run in an experiment, and is compatible with contemporary Android UI testing tools. EBSERVER has been employed in multiple experiments, including experiments that do not have involvement of its authors.
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Keywords: Android, Energy, Metrics, Performance, Tool, Taverne, Computer Networks and Communications, Software, Renewable Energy, Sustainability and the Environment, Safety, Risk, Reliability and Quality
ISBN: 9798350311822
9798350311822
Publisher: Institute of Electrical and Electronics Engineers Inc.
Note: Funding Information: This research was partially by FEDER from the European Union through CENTRO 2020 under project CENTRO-01-0247-FEDER-047256 – GreenStamp: Mobile Energy Efficiency Services, and Base Funding - UIDB/00027/2020 of the Artificial Intelligence and Computer Science Laboratory – LIACC - by national funds through the FCT/MCTES (PIDDAC), and by FCT in the LASIGE Research Unit under the ref. UIDB/00408/2020 and UIDP/00408/2020 and the RAP project under the reference EXPL/CCI-COM/1306/2021, and INES 2.0, (FACEPE PRONEX APQ 0388-1.03/14 and APQ-0399-1.03/17, CNPq 465614/2014-0). Funding Information: This research was partially by FEDER from the European Union through CENTRO 2020 under project CENTRO-01-0247-FEDER- 047256 - GreenStamp: Mobile Energy Efficiency Services, and Base Funding - UIDB/00027/2020 of the Artificial Intelligence and Computer Science Laboratory - LIACC - by national funds through the FCT/MCTES (PIDDAC), and by FCT in the LASIGE Research Unit under the ref. UIDB/00408/2020 and UIDP/00408/2020 and the RAP project under the reference EXPL/CCI- COM/1306/2021, and INES 2.0, (FACEPE PRONEX APQ 0388-1.03/14 and APQ-0399-1.03/17, CNPq 465614/2014-0). Publisher Copyright: © 2023 IEEE.
(Peer reviewed)
