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Comperative analasys of JavaScript runtime environments

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Bibliographic Details
Title: Comperative analasys of JavaScript runtime environments
Authors: Konrad Kalman, Marek Miłosz
Source: Journal of Computer Sciences Institute. 36:296-302
Publisher Information: Politechnika Lubelska, 2025.
Publication Year: 2025
Description: This article presents a comparative analysis of two JavaScript runtime environments: Node.js, the industry leader since 2009, and Bun, a newer and promising alternative introduced in 2022. The study evaluates their performance in two distinct experimental scenarios: handling HTTP requests and executing a computationally intensive algorithm for calculating Fibonacci numbers. These scenarios allow for the assessment of both I/O-bound and CPU-bound workloads. Benchmarking tools were used to measure the most important metrics, including total request handling time, average latency, and peak memory usage. By analyzing architectural differences and runtime optimizations, the article highlights the advantages and trade-offs of both environments. The findings offer developers valuable insights for selecting an appropriate platform for high-performance and scalable server-side applications, and contribute to the ongoing discussion on the evolution of JavaScript runtimes.
Document Type: Article
ISSN: 2544-0764
DOI: 10.35784/jcsi.7512
Rights: CC BY
Accession Number: edsair.doi...........199cb4edae07c839720ef7c843bc37e7
Database: OpenAIRE
Description
Abstract:This article presents a comparative analysis of two JavaScript runtime environments: Node.js, the industry leader since 2009, and Bun, a newer and promising alternative introduced in 2022. The study evaluates their performance in two distinct experimental scenarios: handling HTTP requests and executing a computationally intensive algorithm for calculating Fibonacci numbers. These scenarios allow for the assessment of both I/O-bound and CPU-bound workloads. Benchmarking tools were used to measure the most important metrics, including total request handling time, average latency, and peak memory usage. By analyzing architectural differences and runtime optimizations, the article highlights the advantages and trade-offs of both environments. The findings offer developers valuable insights for selecting an appropriate platform for high-performance and scalable server-side applications, and contribute to the ongoing discussion on the evolution of JavaScript runtimes.
ISSN:25440764
DOI:10.35784/jcsi.7512