Analysis of WebAssembly as a Strategy to Improve JavaScript Performance on IoT Environments
Resumo
JavaScript language (JS) has been widely used in recent years applied to browsers-context. Yet JS is being applied to other backgrounds such as server-side programming, mobile applications, games, robotics, and the Internet of Things (IoT). JavaScript is suitable for programming IoT devices due to eventdriven oriented architecture. However, it is an interpreted language, so it has a lower performance than a compiled language. This paper assesses the use of WebAssembly as a strategy to improve the performance of JavaScript applications in the IoT environment. The experiments were performed on a Raspberry Pi using the Ostrich Benchmark Suite. We run the algorithms in JavaScript, WebAssembly, and C language while collecting data about device resource consumption. Our results showed that JavaScript performance could be improved by 39.81% in terms of execution time, a tiny gain in memory usage, and reduced battery consumption by 39.86% when using WebAssembly.
Palavras-chave:
JavaScript, WebAssembly, Raspberry PI, Internet of Things
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A. Haas, A. Rossberg, D. L. Schuff, B. L. Titzer, M. Holman, D. Gohman, L. Wagner, A. Zakai, and J. Bastien, “Bringing the web up to speed with webassembly,” in Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation, ser. PLDI 2017. New York, NY, USA: Association for Computing Machinery, 2017, p. 185–200. [Online]. Available: https://doi.org/10.1145/3062341.3062363
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M. Reiser and L. Bla ser, “Accelerate javascript applications by cross- compiling to webassembly,” in Proceedings of the 9th ACM SIGPLAN International Workshop on Virtual Machines and Intermediate Lan- guages, 2017, pp. 10–17.
D. Herrera, H. Chen, E. Lavoie, and L. Hendren, “Webassembly and javascript challenge: Numerical program performance using modern browser technologies and devices,” University of McGill, Montreal: QC, Technical report SABLE-TR-2018-2, 2018.
A.Jangda,B.Powers,E.D.Berger,andA.Guha,“Notsofast:analyzing the performance of webassembly vs. native code,” in 2019 {USENIX} Annual Technical Conference ({USENIX}{ATC} 19), 2019, pp. 107– 120.
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Publicado
23/11/2020
Como Citar
OLIVEIRA, Fernando; MATTOS, Júlio.
Analysis of WebAssembly as a Strategy to Improve JavaScript Performance on IoT Environments. In: TRABALHOS EM ANDAMENTO - SIMPÓSIO BRASILEIRO DE ENGENHARIA DE SISTEMAS COMPUTACIONAIS (SBESC), 10. , 2020, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 133-138.
ISSN 2763-9002.
DOI: https://doi.org/10.5753/sbesc_estendido.2020.13102.
