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Journal of Computer Sciences Institute
Article . 2024 . Peer-reviewed
License: CC BY
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Performance analysis of coroutines and other concurrency techniques in Kotlin language for I/O operations

Authors: Michał Grabowiec; Sebastian Wiktor; Jakub Smołka;

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

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.

Keywords

concurrent processing, Electronic computers. Computer science, coroutines, Information technology, QA75.5-76.95, T58.5-58.64, Kotlin

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Published in a Diamond OA journal