Performance analysis of coroutines and other concurrency techniques in Kotlin language for I/O operations

This article focuses on analyzing the performance of coroutines and other concurrent processing techniques in Kotlin language for input/output operations. For this purpose, coroutines, traditional threads, thread pool and virtual threads were put together. An appropriate application was created and test scenarios were developed. A series of tests were conducted, followed by an analysis of the obtained results. These results indicate that coroutines and thread pool exhibit the highest performance, highlighting their importance in optimizing concurrent processing in the Kotlin language.

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Publication Details

Journal
Journal of Computer Sciences Institute
Published
2024-12-30
DOI
https://doi.org/10.35784/jcsi.6353
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
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article

Performance analysis of coroutines and other concurrency techniques in Kotlin language for I/O operations

Jakub Smółka, Michał Grabowiec, Sebastian Wiktor
Journal of Computer Sciences Institute
Parallel Computing and Optimization Techniques
article

Performance analysis of coroutines and other concurrency techniques in Kotlin language for I/O operations

Jakub Smółka, Michał Grabowiec, Sebastian Wiktor
article en

Abstract

This article focuses on analyzing the performance of coroutines and other concurrent processing techniques in Kotlin language for input/output operations. For this purpose, coroutines, traditional threads, thread pool and virtual threads were put together. An appropriate application was created and test scenarios were developed. A series of tests were conducted, followed by an analysis of the obtained results. These results indicate that coroutines and thread pool exhibit the highest performance, highlighting their importance in optimizing concurrent processing in the Kotlin language.

Journal of Computer Sciences InstituteVol. 33
Lublin University of Technology (PL)
Quality Education
Openalex Percentile: Top 74%
Parallel Computing and Optimization Techniques
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