Measuring the Execution Time of Programs from different Android Embedded Programming Languages

This study conducts a comparative analysis of the performance of different programming languages on Android embedded systems, focusing on execution time. Through controlled experiments, we compared traditional and emerging programming languages (Java, Kotlin, C, C++, Python, Golang, and Rust) using a variety of representative algorithms. The results revealed significant disparities among the programming languages, with C and C++ performing significantly better than the others, although in some algorithms Golang approached close in terms of execution time. The native Android application languages, Java and Kotlin, showed intermediate results compared to the others, with very close outcomes between them. Python and Rust had the worst results, with Python's performance being justified by the interpreted nature of the language and the lack of multiprocessing features on Android. Rust was possibly hindered by its inability to efficiently access low-level resources when applied to the Android application layer.

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Publication Details

Published
2024-08-12
DOI
https://doi.org/10.1109/clei64178.2024.10700295
Primary Topic
Real-Time Systems Scheduling
Type
article
Field-Weighted Citation Impact
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article

Measuring the Execution Time of Programs from different Android Embedded Programming Languages

Ricardo Miranda Filho, Raimundo Barreto, Rosiane de Freitas, Larissa Pessoa et al.
1 links
Real-Time Systems Scheduling
article

Measuring the Execution Time of Programs from different Android Embedded Programming Languages

Ricardo Miranda Filho, Raimundo Barreto, Rosiane de Freitas, Larissa Pessoa, Ricardo Bonfim
article en

Abstract

This study conducts a comparative analysis of the performance of different programming languages on Android embedded systems, focusing on execution time. Through controlled experiments, we compared traditional and emerging programming languages (Java, Kotlin, C, C++, Python, Golang, and Rust) using a variety of representative algorithms. The results revealed significant disparities among the programming languages, with C and C++ performing significantly better than the others, although in some algorithms Golang approached close in terms of execution time. The native Android application languages, Java and Kotlin, showed intermediate results compared to the others, with very close outcomes between them. Python and Rust had the worst results, with Python's performance being justified by the interpreted nature of the language and the lack of multiprocessing features on Android. Rust was possibly hindered by its inability to efficiently access low-level resources when applied to the Android application layer.

Universidade Federal do Amazonas (BR)
Openalex Percentile: Top 83%
Real-Time Systems Scheduling
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